tag:blogger.com,1999:blog-51699265154022987992024-03-08T03:34:01.484-08:00Cooperative Computing Lab NewsDouglas Thainhttp://www.blogger.com/profile/10046446527813216338noreply@blogger.comBlogger217125tag:blogger.com,1999:blog-5169926515402298799.post-13208697883190843612024-03-04T07:24:00.000-08:002024-03-04T07:30:08.556-08:00Predicting Resources of Tasks in Dynamic Workflows with Bucketing Algorithms at IPDPS 2024<p> Thanh Son Phung will present <a href="http://ccl.cse.nd.edu/research/papers/adaptive-ipdps-2024.pdf" target="_blank">Adaptive Task-Oriented Resource Allocation for Large Dynamic Workflows on Opportunistic Resources</a> at the <a href="https://www.ipdps.org/ipdps2024/2024-call-for-papers.html" target="_blank">International Parallel and Distributed Processing Symposium</a> 2024.</p><p>Non-technical users running dynamic workflows usually have no knowledge of resource (e.g., cores, memory, disk, GPUs) consumption of tasks within a given workflow. However, this omission of information can bring substantial performance degradation as it is important for workflow execution engines to know the exact amount of resources each task takes and make scheduling decisions accordingly.</p><p><br /></p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgfdTpFNOrmZOvjs077lGn54D4G-w06vF5X9XuyFGO8378SlFfumT93_KkqFjnt26jzGwgkPHHOnXVqq-LWjIee72JyPkFBzNgFA2Ef5oDsoAtIekr103UXq0HlBda8ULxJFNIGMFM3xsckBnTbiYeHbOkEOohF5ynztPp75QVyueb6c5AFKN6KdsgNspc/s960/workflow_architecture.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="286" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgfdTpFNOrmZOvjs077lGn54D4G-w06vF5X9XuyFGO8378SlFfumT93_KkqFjnt26jzGwgkPHHOnXVqq-LWjIee72JyPkFBzNgFA2Ef5oDsoAtIekr103UXq0HlBda8ULxJFNIGMFM3xsckBnTbiYeHbOkEOohF5ynztPp75QVyueb6c5AFKN6KdsgNspc/w509-h286/workflow_architecture.jpg" width="509" /></a></div><br /> In the figure above, an application submits many invocations of two functions: f and g. The invocations are transformed into tasks through many layers and scheduled on worker nodes. Note that the resource specification of each task may be unknown.<p></p><p>Since a manual resource specification for each task is unreliable, an automated solution is required. Such solution needs to be (1) general-purpose (can work with any workflow), (2) prior-free (no prior information is used as workflows may change over each run), (3) online (collect information and run as the workflow runs), and (4) robust (performant on many distributions and unexpected changes). The below figure shows two workflows: ColmenaXTB (top row) and TopEFT (bottom row). Resource types range from core, memory, disk, and execution time from left to right.<br /></p><p><img alt="" height="209" 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" width="564" /></p><p>To predict resources of each task, we first collect resource records of completed tasks, group them into buckets of tasks based on their similarity in resource consumption, and probabilistically choose a bucket to allocate the next task, as shown in the example below.</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj-inVZLo2ji8i7ocmG2BkwoiLyLfk3F-GFfEop6mPtFudl3glH3l0slzb7-9oSDZpfmmRNRvkVR3U5GnXtCtaCrhBgqw6NovHgBzekgQy82YZJJXiBC-NzpMyikZX3aEgspMCneCycfK_7cYQOkj3zubGz-n5CahPUGJucEF89U5mkjHTby7vRCr31Fz8/s960/break_and_choose.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="302" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj-inVZLo2ji8i7ocmG2BkwoiLyLfk3F-GFfEop6mPtFudl3glH3l0slzb7-9oSDZpfmmRNRvkVR3U5GnXtCtaCrhBgqw6NovHgBzekgQy82YZJJXiBC-NzpMyikZX3aEgspMCneCycfK_7cYQOkj3zubGz-n5CahPUGJucEF89U5mkjHTby7vRCr31Fz8/w537-h302/break_and_choose.jpg" width="537" /></a></div><p>We introduce two bucketing algorithms, namely Greedy Bucketing and Exhaustive Bucketing, which share the same principle of resource prediction and only differ in the way buckets of tasks are computed.</p><p><img alt="" height="289" 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width="685" /></p><p> We compare the two algorithms with five alternative algorithms on 7 workflows with 3 resource types. Results show that Greedy Bucketing and Exhaustive Bucketing consistently outperform other algorithms by yielding the highest resource efficiency in the majority of cases.</p><p>Further details can be found in the paper: </p><ul style="text-align: left;"><li>Thanh Son Phung, Douglas Thain, <a href="http://ccl.cse.nd.edu/research/papers/adaptive-ipdps-2024.pdf"><b>Adaptive Task-Oriented Resource Allocation for Large Dynamic Workflows on Opportunistic Resources</b></a>,<i> IEEE International Parallel and Distributed Processing Symposium (IPDPS)</i>, pages 12, May, 2024. <br /> </li></ul>Thanh Son Phunghttp://www.blogger.com/profile/07519790967795911014noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-12495265004008922552024-03-04T06:39:00.001-08:002024-03-04T07:32:39.086-08:00TaskVine at the HEP Analysis Grand Challenge<div><span>Barry Sly-Delgado and Ben Tovar </span><a href="https://indico.cern.ch/event/1367741/contributions/5805540/attachments/2811626/4907353/Reshaping%20High%20Energy%20Physics%20Applications%20for%20Near-Interactive%20Execution%20Using%20TaskVine.pdf">recently presented</a> our work on transforming high energy physics data analysis applications into near-interactive execution at the IRIS-HEP <a href="https://indico.cern.ch/event/1367741/">Analysis Grand Challenge Demo Day</a>.</div><div><br /></div><div><div><div>By using the <a href="http://ccl.cse.nd.edu/software/taskvine">TaskVine</a> framework, we have enabled the transformation of a production physics data analysis application (DV3), reducing execution time from <b>over an hour</b> to just over <b>three minutes </b></div><div>on about <b>four thousand cores </b>of a campus HPC cluster.</div><div><br /></div></div></div><div class="separator" style="clear: both; text-align: center;"><a href="https://indico.cern.ch/event/1367741/contributions/5805540/attachments/2811626/4907353/Reshaping%20High%20Energy%20Physics%20Applications%20for%20Near-Interactive%20Execution%20Using%20TaskVine.pdf" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="405" data-original-width="720" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg-Pc3VvcIZPh7Mr_KA3utF0ISVMlyeyoKV9dOsPrYDIPI02Knd8wuFxF8hPbCMWxPTsLS2si400ItyFOmcR7xjommT-EPC6yNbw1jmEfA8SNmGLO4te76zWsMKe-oop_K8MG9DbKrCEFJFB7zB3imm3yxtHgZ2EUDi-uFuomynde6ju5AW-lWHFe4lRT0/s320/title.png" width="320" /></a></div><br /><div><br /></div><div><div>Advancements to hardware and software components in an application stack aid in the facilitation of application reshaping. With application reshaping, we are transitioning applications from long running to near-interactive. While improvements to hardware and low-level software improvements can produce measurable speedup, significant speedup is obtainable via optimization to the scheduling and execution layers of the distributed application.</div></div><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjkKbcLo7qivxB1sQ5BG6f00I5wnX2Td7v7Khx9UCQgoklDqQRdUcE7hA9AH1BOSk4n9UwO-TGoDWOdSseG08ekZoq9jb5dTp87qke_ClzX1U_b_lTFyJo7btecNLSkYRgSlM9BQwGi1JSfFzLFdbBGzuM3RVGJJ-yArhBLD5EPrLnvPXNLTMYm5CctDLfS/s960/ReshapingApplication.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="148" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjkKbcLo7qivxB1sQ5BG6f00I5wnX2Td7v7Khx9UCQgoklDqQRdUcE7hA9AH1BOSk4n9UwO-TGoDWOdSseG08ekZoq9jb5dTp87qke_ClzX1U_b_lTFyJo7btecNLSkYRgSlM9BQwGi1JSfFzLFdbBGzuM3RVGJJ-yArhBLD5EPrLnvPXNLTMYm5CctDLfS/w284-h148/ReshapingApplication.png" width="284" /></a></div><div class="separator" style="clear: both; text-align: center;"><div style="text-align: left;"><div><div><a href="http://ccl.cse.nd.edu/software/taskvine">TaskVine</a>, our latest workflow technology, makes use of in-cluster bandwidth and disk to mitigate data movement by enabling peer transfers between worker nodes within a compute cluster. TaskVine is currently used to run a variety of custom data analysis workflows written by the CMS physics group at Notre Dame. These applications are written in high-level Python, making use of standard technologies like Numpy, Coffea, and Dask in order to generate large task graphs. TaskVine then takes that graph and deploys it into the cluster.</div></div></div></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXjuwJJkHolv7yjj7faAiWdjh-asW9ZI2qppg1WjmufrOQ5hjRvL2twvH-VLrXi5z63KqhY7w72NFshNnKZSV4Y_RQaZ5Zpiuq3pBhJJ7g5e68nMcnxvxSuNE0s9PgNhi84nx-lX6Fkc5NTo1WLyba6ZHYrRwq_kZR1tRfYoF3_psG5dm8GpZwwFrRt4Ig/s960/StackProgression.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="149" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXjuwJJkHolv7yjj7faAiWdjh-asW9ZI2qppg1WjmufrOQ5hjRvL2twvH-VLrXi5z63KqhY7w72NFshNnKZSV4Y_RQaZ5Zpiuq3pBhJJ7g5e68nMcnxvxSuNE0s9PgNhi84nx-lX6Fkc5NTo1WLyba6ZHYrRwq_kZR1tRfYoF3_psG5dm8GpZwwFrRt4Ig/w320-h149/StackProgression.png" width="320" /></a> </div><div class="separator" style="clear: both; text-align: left;">Our previous versions of these physics applications utilized our earlier <a href="http://ccl.cse.nd.edu/software/workqueue">WorkQueue</a> executor. TaskVine improves upon the earlier system in two distinct ways:</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><b>First</b> - While Work Queue only transfers data between the manager and workers, TaskVine transfers data directly between peer workers. Peer transfers relieve pressure on the manager to distribute data dependencies to worker nodes within the cluster. For workflows that generate large amounts of intermediate data, this can be extremely costly to scheduling performance, because the manager sends and receives large amounts of data. </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">This animation shows the data transfer throughout an application when using Work Queue:</div><div class="separator" style="clear: both; text-align: left;"></div><div class="separator" style="clear: both; text-align: left;"></div><div class="separator" style="clear: both; text-align: left;"></div><div class="separator" style="clear: both; text-align: left;"></div><div class="separator" style="clear: both; text-align: left;"></div><div class="separator" style="clear: both; text-align: left;"></div><div class="separator" style="clear: both; text-align: left;"></div><div class="separator" style="clear: both; text-align: left;"></div><div class="separator" style="clear: both; text-align: left;"></div><div class="separator" style="clear: both; text-align: left;"></div><div class="separator" style="clear: both; text-align: center;"></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhXB1MZP5bf5YZ2dAiI7rZ6wWYiro95-SY2LnlDUzhqId6Ka3dh-jxr49BwoyKt7Jl0TxWYstiIxFucRusloeZqvTcHOz3k3BPkLhMRSgb2vQG779-h8LZ1SzeqauzMGE5ulOm0fNQ658jdf0STugInV_vuJBg9uFHZmy5JZH1_1TuK_qut0Hsm-JuLE3pK/s640/anim.gif" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="480" data-original-width="640" height="150" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhXB1MZP5bf5YZ2dAiI7rZ6wWYiro95-SY2LnlDUzhqId6Ka3dh-jxr49BwoyKt7Jl0TxWYstiIxFucRusloeZqvTcHOz3k3BPkLhMRSgb2vQG779-h8LZ1SzeqauzMGE5ulOm0fNQ658jdf0STugInV_vuJBg9uFHZmy5JZH1_1TuK_qut0Hsm-JuLE3pK/w200-h150/anim.gif" width="200" /></a></div><div class="separator" style="clear: both; text-align: center;">While this animation shows the data transfers between all nodes of the cluster when using TaskVine:<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg_C-QVF7xTM4kbD89x_3VYC9vaSHsm3BnmLY6GHdsaJeOTPXc7V2LdjJRhWuKkUiLZVFxh0J6TAzEWYBYMCtdiKUP9awVHjX5xcBfgCokVwEPN_-ofScmY5SnSl6kJRPzZi4vWYk7D9jelNA1zGIOzX9dxGJ5QowOwayHFpQHfLkyGRnj-egRCZKMAgBEu/s640/anim.gif" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="480" data-original-width="640" height="150" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg_C-QVF7xTM4kbD89x_3VYC9vaSHsm3BnmLY6GHdsaJeOTPXc7V2LdjJRhWuKkUiLZVFxh0J6TAzEWYBYMCtdiKUP9awVHjX5xcBfgCokVwEPN_-ofScmY5SnSl6kJRPzZi4vWYk7D9jelNA1zGIOzX9dxGJ5QowOwayHFpQHfLkyGRnj-egRCZKMAgBEu/w200-h150/anim.gif" title="test" width="200" /></a> </div><div class="separator" style="clear: both; text-align: left;"><b>Second</b> - TaskVine extends the notion of task execution into a <b>serverless model.</b> Python code in the analysis application can be defined once as a LibraryTask which is deployed into the cluster. Then, lightweight FunctionCall tasks can invoke the code in the LibraryTask without constantly restarting the Python environment. In this modem the python interpreter is now invoked once per worker.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">This graph compares the distribution of execution times between normal tasks and serverless function calls, improving the lower limit of execution time by an order of magnitude.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiqlegxekiYhwBzoclQ5V4okKcdUsVwSp4DAUXRPZUGn464cmnVLWWoFL_V3pTHDGGXyIgwCFsZZvCCXvOPLlpzt3hsdotFGdP0_Y1emin63-a27cTjefe_muzpfGu1vkgxm3D2QgpqIojiCAWQdYh0rT5dGkBJXgKt3S0_Baa_k6w5ALhDNpiYs82BZg_N/s640/ExecutionRuntime.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="480" data-original-width="640" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiqlegxekiYhwBzoclQ5V4okKcdUsVwSp4DAUXRPZUGn464cmnVLWWoFL_V3pTHDGGXyIgwCFsZZvCCXvOPLlpzt3hsdotFGdP0_Y1emin63-a27cTjefe_muzpfGu1vkgxm3D2QgpqIojiCAWQdYh0rT5dGkBJXgKt3S0_Baa_k6w5ALhDNpiYs82BZg_N/s320/ExecutionRuntime.png" width="320" /></a></div><div class="separator" style="clear: both; text-align: left;"><span><br /></span></div><div class="separator" style="clear: both; text-align: left;"><span>These four graphs show the overall performance of the data analysis application through four improvement states: first with Work Queue and Hadoop, then with Work Queue and VAST (new HPC filesystem), then TaskVine with peer transfers, and finally TaskVine with serverless execution. Overall, this transforms a one hour workflow into a 3 minute workflow.</span></div><div class="separator" style="clear: both; text-align: left;"><span><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzFXCytGDWHPs2EDoNRQhLoslbIWbGC0mGhuEujPYE0o3gD_FXrPpY85nXg8Y_Kq5Vp7q0m_BkDU0SmOiVFObAzymFKBeusaU-v7S4eLHQH4fKtEqAF4T9JQvxADmFtwoN5FQd6bE7Ss8xf6EHPagiXzIXgqdvEg2JUmoQpdF3VKJc6ZYWB6MnaFcGAmDy/s1246/Screenshot%20from%202024-03-01%2015-36-19.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="383" data-original-width="1246" height="122" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzFXCytGDWHPs2EDoNRQhLoslbIWbGC0mGhuEujPYE0o3gD_FXrPpY85nXg8Y_Kq5Vp7q0m_BkDU0SmOiVFObAzymFKBeusaU-v7S4eLHQH4fKtEqAF4T9JQvxADmFtwoN5FQd6bE7Ss8xf6EHPagiXzIXgqdvEg2JUmoQpdF3VKJc6ZYWB6MnaFcGAmDy/w400-h122/Screenshot%20from%202024-03-01%2015-36-19.png" width="400" /></a></div> </span><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEig6R4jhXpmfTOyF_B0m0eCgg28BjNt83EPxXQlsowOfbIe7_rr9xhMLcUpwQEO_s8Y0bkYfKNxGDz932VtCFy1AErYb8PAawbGYgoRW4rDELFgXvQ3efGC91QQ4CdubZe7VruTL6lG6a1c8j2NLIuRj8Ec8SERsc8cVicHsNWVWuQHe-sxR25C29gH9e1z/s1237/Screenshot%20from%202024-03-01%2015-38-30.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="387" data-original-width="1237" height="125" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEig6R4jhXpmfTOyF_B0m0eCgg28BjNt83EPxXQlsowOfbIe7_rr9xhMLcUpwQEO_s8Y0bkYfKNxGDz932VtCFy1AErYb8PAawbGYgoRW4rDELFgXvQ3efGC91QQ4CdubZe7VruTL6lG6a1c8j2NLIuRj8Ec8SERsc8cVicHsNWVWuQHe-sxR25C29gH9e1z/w400-h125/Screenshot%20from%202024-03-01%2015-38-30.png" width="400" /></a></div><br /><br /></div>Barry Sly-Delgadohttp://www.blogger.com/profile/11947272336795782704noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-79662199328970144322024-02-27T05:54:00.000-08:002024-02-27T05:54:09.208-08:00CCTools 7.8.0 released<p>We are pleased to announce the release of version 7.8.0 of the
Cooperative Computing Tools from the University of Notre Dame, including
TaskVine, Work Queue, Makeflow, Parrot, Chirp, and other software.<br /><br /> Docs: <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://cctools.readthedocs.io/&source=gmail&ust=1709128337875000&usg=AOvVaw1LjxM4TTAIAYpcQ5C3iwzJ" href="https://cctools.readthedocs.io/" rel="nofollow" target="_blank">https://cctools.readthedocs.io/</a><br /> Download: <a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://ccl.cse.nd.edu/software/download&source=gmail&ust=1709128337875000&usg=AOvVaw3y5CExqXg17YLEQffR7XJi" href="http://ccl.cse.nd.edu/software/download" rel="nofollow" target="_blank">http://ccl.cse.nd.edu/software/download</a><br /> Forum: <a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://ccl.cse.nd.edu/community/forum&source=gmail&ust=1709128337875000&usg=AOvVaw3x7gv_SjlhF601P-aT75iR" href="http://ccl.cse.nd.edu/community/forum" rel="nofollow" target="_blank">http://ccl.cse.nd.edu/community/forum</a><br /><br />This is a feature release that primarily improves the scalability and performance of TaskVine:<br /><br />Main Features:<br /><br /> TaskVine dask serverless execution (i.e., function calls instead of tasks) to reduce overheads, by @BarrySlyDelgado<br /> TaskVine improvements to library and remove function calls dispatch, by @tphung3<br /> TaskVine temporary file replication, by @colinthomas-z80<br /> TaskVine automatic deletion of ancillary files (unlink_when_done) during workflow execution, by @btovar<br /> TaskVine use of memory buffers to serialize functions, by @btovar<br /> TaskVine cleanup of factory, worker information and stats, by @dthain<br /> Fix TaskVine memory leak in python bindings, by @JinZhou5042<br /> Improved Parsl integration with TaskVine and documentation, by @colinthomas-z80<br /><br /> <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://github.com/cooperative-computing-lab/cctools/compare/release/7.7.3...release/7.8.0&source=gmail&ust=1709128337875000&usg=AOvVaw2ErV6Uq8hSj8cmoFxSuVUl" href="https://github.com/cooperative-computing-lab/cctools/compare/release/7.7.3...release/7.8.0" rel="nofollow" target="_blank">Full Changelog</a></p>Benjamin Tovarhttp://www.blogger.com/profile/16932087378597993760noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-14698736988555508172023-11-20T11:56:00.000-08:002023-11-20T11:57:17.252-08:00Distant Futures at SC 2023<p> Grad student Barry Sly-Delgado presented his recent work on "<a href="http://ccl.cse.nd.edu/research/papers/futures-sc-2023.pdf">Minimizing Data Movement Using </a><a href="http://ccl.cse.nd.edu/research/papers/futures-sc-2023.pdf">Distant Futures</a>" at the research poster session at <a href="https://sc23.supercomputing.org">Supercomputing 2023</a>:</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgtIX2b16VantcjS_rlIf9YGXp9tc7XiSIZTr9p0rIW4fPEaqOflZfk5Er3sEXZW7sZIvYFEilaAxOKQktI9dmvD6ZdN38lDVDWxHxqUfCdtcci4EqWu1muCKDrDg6ym-ipjkvuq4UiyBR9v-mF0d4NVqXXlUCI78CDpcEbGp2hJlW86hIF-HSSitjMItk/s2500/SC%202023%20Poster_%20Minimizing%20Data%20movement%20Using%20Distant%20Futures.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1666" data-original-width="2500" height="213" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgtIX2b16VantcjS_rlIf9YGXp9tc7XiSIZTr9p0rIW4fPEaqOflZfk5Er3sEXZW7sZIvYFEilaAxOKQktI9dmvD6ZdN38lDVDWxHxqUfCdtcci4EqWu1muCKDrDg6ym-ipjkvuq4UiyBR9v-mF0d4NVqXXlUCI78CDpcEbGp2hJlW86hIF-HSSitjMItk/s320/SC%202023%20Poster_%20Minimizing%20Data%20movement%20Using%20Distant%20Futures.png" width="320" /></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi3hndPKCzG5fCkP76p-qDV4YG0pGBVxcXRvhqFBIcXkwsdL133Pfg6DTYNBr6GnG6FloBXsfok3mjNaHJJf9TDAokW66s7gOt6EEyzK-FT16ljdRlTvQB20hN2oE6sOynNpzykHceWkXL7N7yTMbReDzvBS2aYRMVag32EFwhuqS5gYKlje31LabEmS_w/s4032/IMG_0009.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="4032" data-original-width="3024" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi3hndPKCzG5fCkP76p-qDV4YG0pGBVxcXRvhqFBIcXkwsdL133Pfg6DTYNBr6GnG6FloBXsfok3mjNaHJJf9TDAokW66s7gOt6EEyzK-FT16ljdRlTvQB20hN2oE6sOynNpzykHceWkXL7N7yTMbReDzvBS2aYRMVag32EFwhuqS5gYKlje31LabEmS_w/s320/IMG_0009.jpg" width="240" /></a></div><p></p><br /><p><b>Futures</b> are a widely used concept for organizing concurrent computations. A Future is a variable that represents the result of a function call whose computation may still be pending. When evaluated, the future blocks (if needed) until the result becomes available. This allows for the easy construction of highly parallel programs.</p><p>Barry developed a future based execution model for the TaskVine workflow execution system. This allows one to submit and chain function calls written in plain Python. TaskVine then schedules the tasks throughout the cluster, providing a variety of data management services.</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhmuTP7XlEhet5rW9wAK0nRPmHsORGYUUsR5gkR8X8WCsP1r2ggD9QV5JVO_KYxXnI44zcAqcIY-11z0hvPyi14RuvFhLH0ncX5TiQEjaDohyphenhyphenmZ15oiY76XUkMaPiFu4b40XFs8ovIFOe6fbri8RTj-eH80Hz3bgGjV7wWLvr6xsayQJt4NyjjYCYJFH6k/s618/Screenshot%202023-11-20%20at%202.44.44%20PM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="618" data-original-width="616" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhmuTP7XlEhet5rW9wAK0nRPmHsORGYUUsR5gkR8X8WCsP1r2ggD9QV5JVO_KYxXnI44zcAqcIY-11z0hvPyi14RuvFhLH0ncX5TiQEjaDohyphenhyphenmZ15oiY76XUkMaPiFu4b40XFs8ovIFOe6fbri8RTj-eH80Hz3bgGjV7wWLvr6xsayQJt4NyjjYCYJFH6k/s320/Screenshot%202023-11-20%20at%202.44.44%20PM.png" width="319" /></a></div><p>However, at very large scales, a natural bottleneck is the return of computed values back to the original manager. To overcome this, we introduce the notion of <b>Distant Futures</b> in which a value is not only pending in time, but potentially left <b>in the cluster on a remote node. </b>Tasks requiring this value can then be scheduled to the same node, or to transfer the value within the cluster, rather than bringing it back home.</p><p>Combining distant futures with asynchronous transfer provides significant benefits for applications that are bottlenecked in data transfer, as our results show:</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiT7-EbVx40t2cXt2JjmSOdsi8X1OhMlgbYzD9rioF9xwAxA8QYI_Sb4-U9Qai23xpccgikT8v63W1gCotDFJpaNgWGSNFPcEGbY-vUQLW2are6GtM7iYTjb6q_PVV8HImn6tEA7UHxFLC32ATUDdJR1oZP9JeEiX7EhvCfIOke31pRT22FADZ1Y5gWTdI/s1186/Screenshot%202023-11-20%20at%202.44.51%20PM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="259" data-original-width="1186" height="88" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiT7-EbVx40t2cXt2JjmSOdsi8X1OhMlgbYzD9rioF9xwAxA8QYI_Sb4-U9Qai23xpccgikT8v63W1gCotDFJpaNgWGSNFPcEGbY-vUQLW2are6GtM7iYTjb6q_PVV8HImn6tEA7UHxFLC32ATUDdJR1oZP9JeEiX7EhvCfIOke31pRT22FADZ1Y5gWTdI/w400-h88/Screenshot%202023-11-20%20at%202.44.51%20PM.png" width="400" /></a></div><div class="separator" style="clear: both; text-align: left;">For more details, check out the poster and short paper here:</div><div class="separator" style="clear: both; text-align: left;"><ul style="text-align: left;"><li><span style="background-color: white; font-family: times; font-size: 16px;">Barry Sly-Delgado and Douglas Thain, </span><b style="color: navy; font-family: times; font-size: 16px;"><a href="http://ccl.cse.nd.edu/research/papers/futures-sc-2023.pdf" style="color: navy;">Poster: Minimizing Data Movement Using Distant Futures</a><span style="background-color: white;"> </span></b><i style="font-family: times; font-size: 16px;">ACM/IEEE Supercomputing</i><span style="background-color: white; font-family: times; font-size: 16px;">, November, 2023.</span></li></ul></div><p></p>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-67562523185227198682023-11-20T11:43:00.000-08:002023-11-20T11:43:14.517-08:00Maximizing Data Utility at HPPSS/SC 2023<p>Thanh Son Phung presented <a href="http://ccl.cse.nd.edu/research/papers/utility-hppss-2023.pdf">Maximizing Data Utility for HPC Python Workflow Execution</a> at the <a href="https://hppss.github.io/SC23/">High Performance Python for Science at Scale</a> workshop at Supercomputing 2023.</p><p>This paper describes how the <a href="https://parsl-project.org">Parsl</a> workflow system integrates with the <a href="https://ccl.cse.nd.edu/software/taskvine">TaskVine</a> workflow executor in order to run complex Python environments at scale. Parsl provides a function-oriented programming model, generates a large number of tasks to be executed in a graph, and then passes the tasks down to TaskVine for execution on a cluster:</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgBdPsO_5a7O8nObQKpP7oQjSSs81AysMTwCtZgiSoCvLq3nXRfj4FYxtOxnlZOzx1gu6a7YKYpelti19in2MJPgee4_iMHBk9WUly84KDgMTy_lPKLQWR6p6Q_WK22vvYi6CsFqQpeS79wDUS-OjJqnCG_rhxzpIhzgWKLaHwPKtBFpdF0a6aZIxGjemE/s866/Screenshot%202023-11-14%20at%201.35.58%20PM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="866" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgBdPsO_5a7O8nObQKpP7oQjSSs81AysMTwCtZgiSoCvLq3nXRfj4FYxtOxnlZOzx1gu6a7YKYpelti19in2MJPgee4_iMHBk9WUly84KDgMTy_lPKLQWR6p6Q_WK22vvYi6CsFqQpeS79wDUS-OjJqnCG_rhxzpIhzgWKLaHwPKtBFpdF0a6aZIxGjemE/s320/Screenshot%202023-11-14%20at%201.35.58%20PM.png" width="320" /></a></div><p>A significant challenging in scaling up Python applications is managing the large body of dependencies in the form of Python modules, system libraries, and so forth, that must be loaded every time a process starts. At very large scales, the cost of pulling all of these resources from a shared parallel filesystem can become a significant bottleneck. (Typically, parallel filesystems are optimized for the delivery of a few large files, rather than a large number of small files.)</p><p>TaskVine addresses the problem by exploiting the storage capability of each execution node, which is typically equipped with a local SSD for temporary storage. The TaskVine workers pull data into local storage, and then share files with each other (at the direction of the manager), resulting in less pressure on the shared filesystem, and overall speedups that improve with scale. </p><p>This technique was evaluated on a machine learning application requiring a (quite common) 4.4GB of software scaling up from 32 nodes x 16 cores to 256 nodes x 16 cores on a campus HPC cluster. At small scales, TaskVine provides a modest improvement, but as scale increases, the separation becomes more distinct:</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhtE9lspF33w3lzYBcRSpCM8f5FEJ8iJWCEPb2s7fky3jvCm4CNUU5V8Y-BCvhWcupyBPE1voqU49uL78PTaSL0IyuWTWLoVUJXlEtUtYua7xuB5BS0N-ik-xSCI1jFAFsios4uUXKEaAd2Fcmndw_xu4HtQBFPNGVWnraD3fgPz9TsVcGGu1wnmCIDngA/s766/Screenshot%202023-11-14%20at%201.36.04%20PM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="630" data-original-width="766" height="263" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhtE9lspF33w3lzYBcRSpCM8f5FEJ8iJWCEPb2s7fky3jvCm4CNUU5V8Y-BCvhWcupyBPE1voqU49uL78PTaSL0IyuWTWLoVUJXlEtUtYua7xuB5BS0N-ik-xSCI1jFAFsios4uUXKEaAd2Fcmndw_xu4HtQBFPNGVWnraD3fgPz9TsVcGGu1wnmCIDngA/s320/Screenshot%202023-11-14%20at%201.36.04%20PM.png" width="320" /></a></div><div>The distribution of task execution times shows that the TaskVine variants (bottom row) shows that tasks run more consistently with fast individual execution times, once data is distributed across the cluster.</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiI92QPD7rZnqFB4XZKvrMOEQkF43OIwY1mxI8BCyg6FpHYacVv7kPpatYkPg2tlfGiPfkvwsB6zhhF1U6yeeLD22dlAEqaB6RdmarcUyJ1tG33r-5DYQvpYUG7dNQZhQpRmAhwxqnBURwgNhXzp4kRGFJ9OfXJmMCzHwr2WrDTVLfop5RAAXsrb6I2WJA/s1748/Screenshot%202023-11-14%20at%201.36.13%20PM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="766" data-original-width="1748" height="140" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiI92QPD7rZnqFB4XZKvrMOEQkF43OIwY1mxI8BCyg6FpHYacVv7kPpatYkPg2tlfGiPfkvwsB6zhhF1U6yeeLD22dlAEqaB6RdmarcUyJ1tG33r-5DYQvpYUG7dNQZhQpRmAhwxqnBURwgNhXzp4kRGFJ9OfXJmMCzHwr2WrDTVLfop5RAAXsrb6I2WJA/s320/Screenshot%202023-11-14%20at%201.36.13%20PM.png" width="320" /></a></div><p>For the full details, see our paper here:</p><table style="color: black; font-family: times; font-size: 16px; font-variant-caps: normal;"><tbody><tr><td valign="middle"><p></p><ul><li>Thanh Son Phung, Ben Clifford, Kyle Chard, Douglas Thain, <a href="http://ccl.cse.nd.edu/research/papers/utility-hppss-2023.pdf" style="color: navy;"><b>Maximizing Data Utility for HPC Python Workflow Execution</b></a>, <i>SC23 Workshop: High Performance Python for Science at Scale (HPPSS)</i>, November, 2023. DOI: <a href="http://dx.doi.org/10.1145/3624062.3624136" style="color: navy;">10.1145/3624062.3624136</a></li></ul><p></p></td></tr></tbody></table>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-73324517673377218712023-11-14T10:30:00.000-08:002023-11-14T10:30:04.774-08:00TaskVine Paper at WORKS/SC 2023<p>Barry Sly-Delgado presented our <a href="http://ccl.cse.nd.edu/research/papers/taskvine-works-2023.pdf">overview paper on TaskVine</a> at the <a href="https://works-workshop.org">Workshop on Workflows in Support of Large Scale Science</a> at <a href="https://sc23.supercomputing.org">Supercomputing 2023</a> in Denver, Colorado.</p><p><a href="https://ccl.cse.nd.edu/software/taskvine">TaskVine</a> is a system for executing data intensive workflows on large clusters. These workflows ma consist of thousands to millions of individual tasks that are connected together in a graph structure like this:</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhcj-p4buk2Xo1l7iNMAodZDqcjNnW1jfFYhq-vqAkchoF21XK7lgA4aY6UhIeiENLozaveGkWzm_Eily9Wk3of4uIBZi38q4CuMiPL0TfVo8xdMCF0zbrvMmbU4NfwbrScS-y9wJ47R-8jP8P0v2tU1-hG2NglG5t1j9Hx_eLcFp1aQpPAhbTTnX-UtsU/s930/Screenshot%202023-11-14%20at%2011.29.32%20AM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="258" data-original-width="930" height="89" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhcj-p4buk2Xo1l7iNMAodZDqcjNnW1jfFYhq-vqAkchoF21XK7lgA4aY6UhIeiENLozaveGkWzm_Eily9Wk3of4uIBZi38q4CuMiPL0TfVo8xdMCF0zbrvMmbU4NfwbrScS-y9wJ47R-8jP8P0v2tU1-hG2NglG5t1j9Hx_eLcFp1aQpPAhbTTnX-UtsU/s320/Screenshot%202023-11-14%20at%2011.29.32%20AM.png" width="320" /></a></div><div>When executing this sort of workflow in a cluster, the movement of data between tasks is often the primary bottleneck, especially if each item must flow back and forth between a shared filesystem.</div><div><br /></div><div>The key idea of TaskVine is to exploit the local storage available on each node of a cluster to relieve much of the load placed on a shared filesystem. A running TaskVine system consists of a manager process that coordinates data transfers between workers, like this:</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgbluiu7J_59yvGwMHFJVh9azxjIie9T9ucrkK5CFyheb4DlxHt4yGYQwrvIKF180x4OK3hgpNcgi7Wcptgcn0_9r_hp3zA0mxlBRZP-01rLqctpUrMx5M1aEakStXGozsN2gUraDz0xIRPkm9xyQb6EcyM_W7zsENZpUl47qEp5spUrmxNhrYVmGdeYiE/s934/Screenshot%202023-11-14%20at%2011.29.38%20AM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="486" data-original-width="934" height="167" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgbluiu7J_59yvGwMHFJVh9azxjIie9T9ucrkK5CFyheb4DlxHt4yGYQwrvIKF180x4OK3hgpNcgi7Wcptgcn0_9r_hp3zA0mxlBRZP-01rLqctpUrMx5M1aEakStXGozsN2gUraDz0xIRPkm9xyQb6EcyM_W7zsENZpUl47qEp5spUrmxNhrYVmGdeYiE/s320/Screenshot%202023-11-14%20at%2011.29.38%20AM.png" width="320" /></a></div><div><br /></div><div>A workflow in TaskVine is expressed in in Python by declaring the data assets needed by the workflow as file objects, and then connecting them to the namespace of each task to execute:</div><div><br /></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiNBYM55L5-fNDkL3XapLrphBby-42mDNI9J0FhmBiUKRVQoSbwKVRN5OR8dGJ3GsE5AcgLYOeUMN_ZVpHuir5fSESQ5zsFHy_vtAdFpcMe-DKqY3VJiTVX6OULkoy-cO6MjOckPS2e7233vOrpDSp3MBRzchOUv0qneupO5LkF_l7FqyfcagVWdcJa6tk/s898/Screenshot%202023-11-14%20at%2011.29.51%20AM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="640" data-original-width="898" height="228" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiNBYM55L5-fNDkL3XapLrphBby-42mDNI9J0FhmBiUKRVQoSbwKVRN5OR8dGJ3GsE5AcgLYOeUMN_ZVpHuir5fSESQ5zsFHy_vtAdFpcMe-DKqY3VJiTVX6OULkoy-cO6MjOckPS2e7233vOrpDSp3MBRzchOUv0qneupO5LkF_l7FqyfcagVWdcJa6tk/s320/Screenshot%202023-11-14%20at%2011.29.51%20AM.png" width="320" /></a></div><div class="separator" style="clear: both; text-align: center;">When the tasks execute on each worker, the various data objects are cached on local storage, and then linked into the execution sandbox of each running task. This provides the opportunity for data to be shared between tasks without moving data to/from the shared filesystem:</div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiGu8bMdSLxWZrSeg69IZMiBR8THXI7kuMxmGVVe-UVdChPOAdgBdA5m8T-87wddWIypV6sgYAOC3t4ydUi2cr7sHpqrWjKsumBN6aI-youdIfiOIybjnhyphenhyphenRTRB7gBZ5pYYzgIL_ZN1GS1moMd0Vcz74hhgKPPHsQwCPmKnk9aGDyq3yErWSNly6ApaeBo/s932/Screenshot%202023-11-14%20at%2011.29.55%20AM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="630" data-original-width="932" height="216" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiGu8bMdSLxWZrSeg69IZMiBR8THXI7kuMxmGVVe-UVdChPOAdgBdA5m8T-87wddWIypV6sgYAOC3t4ydUi2cr7sHpqrWjKsumBN6aI-youdIfiOIybjnhyphenhyphenRTRB7gBZ5pYYzgIL_ZN1GS1moMd0Vcz74hhgKPPHsQwCPmKnk9aGDyq3yErWSNly6ApaeBo/s320/Screenshot%202023-11-14%20at%2011.29.55%20AM.png" width="320" /></a></div><div><br /></div><div>This paper gives three examples of applications constructed using TaskVine. TopEFT is a physics data analysis application built using Coffea+TaskVine, Colmena-XTB is a molecular modeling application built using Parsl+TaskVine, and BGD is a model training application built using TaskVine alone. Each of these codes is able to scale to 400-1000 nodes running on 1000-27000 cores total.</div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh82VPGdXVld_oI-ekBDATuF-gXjPaIiD_sWosLtyH6q3dimLDsdvWe_-0d6eHp7Q8_GeuMMPYKxH3YIpaxKsLdYixyX0yv1rpIkXBYHkWjeQmLat4UhrPA_uBx6f0vnwxs0JxKY7EPyPgZAh7uQa95ZudOhRyVuj0bPeonE1myS5ecAyLSONxXn5SMOnM/s1908/Screenshot%202023-11-14%20at%2011.30.23%20AM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="954" data-original-width="1908" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh82VPGdXVld_oI-ekBDATuF-gXjPaIiD_sWosLtyH6q3dimLDsdvWe_-0d6eHp7Q8_GeuMMPYKxH3YIpaxKsLdYixyX0yv1rpIkXBYHkWjeQmLat4UhrPA_uBx6f0vnwxs0JxKY7EPyPgZAh7uQa95ZudOhRyVuj0bPeonE1myS5ecAyLSONxXn5SMOnM/w640-h320/Screenshot%202023-11-14%20at%2011.30.23%20AM.png" width="640" /></a></div><p>For all the details, please check out our paper here:</p><ul style="text-align: left;"><li><span style="background-color: white; font-family: times; font-size: 16px;">Barry Sly-Delgado, Thanh Son Phung, Colin Thomas, David Simonetti, Andrew Hennessee, Ben Tovar, Douglas Thain, </span><a href="http://ccl.cse.nd.edu/research/papers/taskvine-works-2023.pdf" style="color: navy; font-family: times; font-size: 16px;"><b>TaskVine: Managing In-Cluster Storage for High-Throughput Data Intensive Workflows</b></a><span style="background-color: white; font-family: times; font-size: 16px;">, </span><i style="font-family: times; font-size: 16px;">18th Workshop on Workflows in Support of Large-Scale Science</i><span style="background-color: white; font-family: times; font-size: 16px;">, November, 2023. DOI: </span><a href="http://dx.doi.org/10.1145/3624062.3624277" style="color: navy; font-family: times; font-size: 16px;">10.1145/3624062.3624277</a></li></ul><div><br /></div><p></p></div>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-90448800294174355612023-10-03T10:15:00.005-07:002023-10-03T10:15:48.953-07:00CCTools 7.7.0 Released<p><span style="caret-color: rgb(31, 35, 40); color: #1f2328; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size: 16px;">We are pleased to announce the release of version 7.7. </span><span style="caret-color: rgb(31, 35, 40); color: #1f2328; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size: 16px;">of the Cooperative Computing Tools from the University of Notre Dame, </span><span style="caret-color: rgb(31, 35, 40); color: #1f2328; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size: 16px;">including TaskVine, Work Queue, Makeflow, Parrot, Chirp, and other software.</span></p><p style="box-sizing: border-box; caret-color: rgb(31, 35, 40); color: #1f2328; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size: 16px; margin-bottom: 16px; margin-top: 0px;"></p><ul style="text-align: left;"><li>Docs: <a href="https://cctools.readthedocs.io/">https://cctools.readthedocs.io/</a></li><li>Download: <a href="http://ccl.cse.nd.edu/software/download">http://ccl.cse.nd.edu/software/download</a></li><li>Forum: <a href="http://ccl.cse.nd.edu/community/forum">http://ccl.cse.nd.edu/community/forum</a></li></ul><p></p><p style="box-sizing: border-box; caret-color: rgb(31, 35, 40); color: #1f2328; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size: 16px; margin-bottom: 16px; margin-top: 0px;">This is a feature release that primarily improves the scalability and performance of TaskVine:</p><p style="box-sizing: border-box; caret-color: rgb(31, 35, 40); color: #1f2328; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size: 16px; margin-bottom: 16px; margin-top: 0px;">Main Features:</p><ul style="box-sizing: border-box; caret-color: rgb(31, 35, 40); color: #1f2328; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size: 16px; margin-bottom: 16px; margin-top: 0px; padding-left: 2em;"><li style="box-sizing: border-box;">TaskVine workers now perform transfers asynchronously while communicating with manager, by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/BarrySlyDelgado/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/BarrySlyDelgado" style="box-sizing: border-box; color: var(--fgColor-default, var(--color-fg-default)); text-decoration: none; white-space: nowrap;">@BarrySlyDelgado</a></li><li style="box-sizing: border-box; margin-top: 0.25em;">TaskVine Serverless function execution simplified and accelerated by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/tphung3/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/tphung3" style="box-sizing: border-box; color: var(--fgColor-default, var(--color-fg-default)); text-decoration: none; white-space: nowrap;">@tphung3</a></li><li style="box-sizing: border-box; margin-top: 0.25em;">Improved integration of Parsl and TaskVine by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/tphung3/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/tphung3" style="box-sizing: border-box; color: var(--fgColor-default, var(--color-fg-default)); text-decoration: none; white-space: nowrap;">@tphung3</a></li><li style="box-sizing: border-box; margin-top: 0.25em;">Improved scheduler performance in Work Queue and TaskVine by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/colinthomas-z80/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/colinthomas-z80" style="box-sizing: border-box; color: var(--fgColor-default, var(--color-fg-default)); text-decoration: none; white-space: nowrap;">@colinthomas-z80</a></li><li style="box-sizing: border-box; margin-top: 0.25em;">Multiple improvements to reliability at scale with physics applications by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/btovar/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/btovar" style="box-sizing: border-box; color: var(--fgColor-default, var(--color-fg-default)); text-decoration: none; white-space: nowrap;">@btovar</a></li><li style="box-sizing: border-box; margin-top: 0.25em;">Change to API for cancelling tasks: all tasks are now returned by <code style="border-radius: 6px; box-sizing: border-box; font-family: ui-monospace, SFMono-Regular, "SF Mono", Menlo, Consolas, "Liberation Mono", monospace; font-size: 13.6px; margin: 0px; padding: 0.2em 0.4em; white-space: break-spaces;">vine_wait</code> by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/dthain/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/dthain" style="border-radius: 2px; box-sizing: border-box; color: var(--color-user-mention-fg); margin-left: -2px; margin-right: -2px; padding: 0px 2px; text-decoration: none; white-space: nowrap;">@dthain</a></li><li style="box-sizing: border-box; margin-top: 0.25em;">Change to serverless resource management: functions consume library resources by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/dthain/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/dthain" style="border-radius: 2px; box-sizing: border-box; color: var(--color-user-mention-fg); margin-left: -2px; margin-right: -2px; padding: 0px 2px; text-decoration: none; white-space: nowrap;">@dthain</a></li><li style="box-sizing: border-box; margin-top: 0.25em;">Improved visualization by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/JinZhou5042/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/JinZhou5042" style="box-sizing: border-box; color: var(--fgColor-default, var(--color-fg-default)); text-decoration: none; white-space: nowrap;">@JinZhou5042</a></li><li style="box-sizing: border-box; margin-top: 0.25em;">New environment.yml for development dependencies by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/thieber22/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/thieber22" style="box-sizing: border-box; color: var(--fgColor-default, var(--color-fg-default)); text-decoration: none; white-space: nowrap;">@thieber22</a></li></ul><p style="box-sizing: border-box; caret-color: rgb(31, 35, 40); color: #1f2328; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size: 16px; margin-bottom: 0px !important; margin-top: 0px;"><span style="box-sizing: border-box;">Full Changelog</span>: <a class="commit-link" href="https://github.com/cooperative-computing-lab/cctools/compare/nightly...release/7.7.0" style="box-sizing: border-box; color: var(--fgColor-accent, var(--color-accent-fg)); text-decoration: none;"><tt style="border-radius: 6px; box-sizing: border-box; font-family: ui-monospace, SFMono-Regular, "SF Mono", Menlo, Consolas, "Liberation Mono", monospace; font-size: 13.6px; margin: 0px; padding: 0.2em 0.4em; white-space: break-spaces;">nightly...release/7.7.0</tt></a></p>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-10500130249332685652023-07-24T13:06:00.004-07:002023-07-24T13:06:58.426-07:00CCTools 7.6.1 Released<p><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">We are pleased to announce the release of version 7.6.1</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">of the Cooperative Computing Tools from the University of Notre Dame,</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">including TaskVine, Work Queue, Makeflow, Parrot, Chirp, and other software.</span></p><div style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">Docs: <a href="https://cctools.readthedocs.io/" style="color: #2962ff; text-decoration: none;">https://cctools.readthedocs.io/</a><div>Download: <a href="http://ccl.cse.nd.edu/software/download" style="color: #2962ff; text-decoration: none;">http://ccl.cse.nd.edu/software/download</a><br />Forum: <a href="http://ccl.cse.nd.edu/community/forum" style="color: #2962ff; text-decoration: none;">http://ccl.cse.nd.edu/community/forum</a><br /><br />This release introduces several bug fixes and minor improvements to the TaskVine workflow executor and Work Queue scheduler.<br />TaskVine:</div><div>- Fix bug in task scheduling that would result in manager hanging. (Colin Thomas)<br />- Fix bug in execution of Dask task graphs that would lead to a hang. (Ben Tovar)<br />- Fix bug in deployment of serverless LibraryTask. (Thanh Phung)<br />- Add option to specify Python package dependencies inline. (Barry Sly-Delgado)<br />- Add visualization of task graph and documentation. (Douglas Thain)<br /><br />Work Queue:</div><div>- Fix bug in task scheduling that would result in manager hanging. (Colin Thomas)</div></div>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-80952612623924193662023-07-07T11:14:00.003-07:002023-07-07T11:14:28.098-07:00CCTools 7.6.0 Released<p><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">We are pleased to announce the release of version 7.6.0</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">of the Cooperative Computing Tools from the University of Notre Dame,</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">including TaskVine, Work Queue, Makeflow, Parrot, Chirp, and other software.</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- Docs: https://cctools.readthedocs.io</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- Download: http://ccl.cse.nd.edu/software/download</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- Forum: http://ccl.cse.nd.edu/community/forum</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">This release introduces a number of performance, usability, and</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">documentation improvements to the TaskVine workflow executor.</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">TaskVine -</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- Integration with Parsl workflow system. (Thanh Phung)</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- Integration with Dask workflow system (Ben Tovar)</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- Optimized scheduling performance with large numbers of workers. (Colin Thomas)</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- Enhanced dispatch performance for small tasks. (Colin Thomas)</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- vine_submit_workers combined tool for submtting workers. (Thanh Phung)</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- Improved generation of file cache names (Barry Sly-Delgado)</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- fetch_file interface to obtain cached files in the cluster. (Douglas Thain)</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- Worker-to-worker authentication for peer transfers.</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- Updated documentation. (All)</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">Work Queue:</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- Enhanced dispatch performance for small tasks. (Colin Thomas)</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">Makeflow:</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- Now supports TaskVine as an execution mode. (Douglas Thain)</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">General:</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">- TCP catalog updates are performed in a background process to reduce latency.</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">Thanks goes to the contributors for many features, bug fixes, and tests:</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">Thanh Son Phung</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">Barry Sly-Delgado</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">Colin Thomas</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">Ben Tovar</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">Douglas Thain</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;">Enjoy!</span><br style="caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;" /></p><div><span style="background-color: white; caret-color: rgba(0, 0, 0, 0.87); color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px;"><br /></span></div>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-78936834890568414542023-04-28T08:04:00.001-07:002023-04-28T08:04:23.191-07:00Intro to TaskVine at GCASR 2023<p>Prof. Thain gave the afternoon keynote (<a href="https://docs.google.com/presentation/d/1mPfXsc9fzWoJMgGGHoYlg4ypsmXFoaF8GpGo_csbx_w/edit">Data Intensive Computing with TaskVine</a>) at the <a href="https://gcasr.org">GCASR Workshop</a> in Chicago on April 24th. TaskVine is our latest workflow execution system, just released in March 2023.</p><p>The key idea of TaskVine is to exploit the local storage already embedded into clusters for use by complex workflows:</p><div class="separator" style="clear: both; text-align: left;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhubjYiPfNkY3RvDQjhA0aSUcrXQodlgl6_TC8bpj2mAI1gpqUKzI9ZmWEMfOI9dBRmrJGAej-rvYQnBLaSdN2t4wFuUVa-zE4UD6PPx5wHMfatsebpfyfG6LK74PHy25RRbpi8uoXvEjUhUPCsIPhQH_Z4kVeR-0C-YCKlZWrVOSl1AUn9mvaiiNY5/s960/taskvine-gcasr-1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhubjYiPfNkY3RvDQjhA0aSUcrXQodlgl6_TC8bpj2mAI1gpqUKzI9ZmWEMfOI9dBRmrJGAej-rvYQnBLaSdN2t4wFuUVa-zE4UD6PPx5wHMfatsebpfyfG6LK74PHy25RRbpi8uoXvEjUhUPCsIPhQH_Z4kVeR-0C-YCKlZWrVOSl1AUn9mvaiiNY5/s320/taskvine-gcasr-1.png" width="320" /></a></div><br /><p>To accomplish this, each node runs a general purpose worker process that manages cached data under unique names, and runs each task within a private namespace:</p><div class="separator" style="clear: both; text-align: left;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg9M9VahMkcmL8XfqjHoiRIRwP7YZ7lCN2H4gMykKyWyKacGMEKoxDHO9aqv4VtDnlwnoewCTuCOYSxGPknlqlogN4HL_yK4rWZxm0ObkbUY32y56UQv2t2lFeCGBkreycSN3nvQK9MdATSHG09c6s7BEDOOrTZSeAFOlFJBa-OrA-sMXWLw5fICzQZ/s960/taskvine-gcasr-2.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg9M9VahMkcmL8XfqjHoiRIRwP7YZ7lCN2H4gMykKyWyKacGMEKoxDHO9aqv4VtDnlwnoewCTuCOYSxGPknlqlogN4HL_yK4rWZxm0ObkbUY32y56UQv2t2lFeCGBkreycSN3nvQK9MdATSHG09c6s7BEDOOrTZSeAFOlFJBa-OrA-sMXWLw5fICzQZ/s320/taskvine-gcasr-2.png" width="320" /></a></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">You can write workflows directly to the TaskVine API, declaring files and tasks and connecting them together. Or, TaskVine can be used as an executor under existing workflow systems:</div><div class="separator" style="clear: both; text-align: left;"><br /></div><br /><div class="separator" style="clear: both; text-align: left;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjbPayc4So0anLaIbYu-MDkm7zAeEE15zkLTUIQnsgottBQNZu6icT45mtwdhALnTPqFU0gWTQMq9yYkB-XK14CAdjoElMwqRCA6_NH9L18pUTSZ5p5BtvHcohMfAGR0lDQ173KPspSehvPA-xlTJxbRHJUMuKLvnuNwMV5OfEChu-KFBOE7tLdfCSP/s960/taskvine-gcasr-3.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjbPayc4So0anLaIbYu-MDkm7zAeEE15zkLTUIQnsgottBQNZu6icT45mtwdhALnTPqFU0gWTQMq9yYkB-XK14CAdjoElMwqRCA6_NH9L18pUTSZ5p5BtvHcohMfAGR0lDQ173KPspSehvPA-xlTJxbRHJUMuKLvnuNwMV5OfEChu-KFBOE7tLdfCSP/s320/taskvine-gcasr-3.png" width="320" /></a></div><div><br /></div>Learn more and try it out here: <a href="http://ccl.cse.nd.edu/software/taskvine">http://ccl.cse.nd.edu/software/taskvine</a><div><br /><div class="separator" style="clear: both; text-align: left;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhcathDKKBJ8N-nOKSP0XPT-FXNM0xeMoeIdTo7zpS8N8jKLtcM-qV2uV0ALpFvLrLEhuOYG_gPCi0R33yG4IS_YS4xiqbP_FWhgUAXT9vFqr2HGWHw3TBozNj0O5eF39FrUiLzGTn5edKVLNbCrHtiT8j-2UEixI_f9oSXpTHY2O1L3uyC6t8y7L54/s960/taskvine-gcasr-4.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhcathDKKBJ8N-nOKSP0XPT-FXNM0xeMoeIdTo7zpS8N8jKLtcM-qV2uV0ALpFvLrLEhuOYG_gPCi0R33yG4IS_YS4xiqbP_FWhgUAXT9vFqr2HGWHw3TBozNj0O5eF39FrUiLzGTn5edKVLNbCrHtiT8j-2UEixI_f9oSXpTHY2O1L3uyC6t8y7L54/s320/taskvine-gcasr-4.png" width="320" /></a></div><br /><p><br /></p></div>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-8633556699454951772023-04-17T09:35:00.006-07:002023-04-17T09:35:47.341-07:00CCTools version 7.5.2 released<p> </p><div aria-labelledby="c147" class="ptW7te" role="region"><span><span style="font-family: monospace,monospace;">The
Cooperative Computing Lab is pleased to announce the release of version
7.5.2 of the Cooperative Computing Tools including TaskVine, WorkQueue,
Makeflow, Poncho, Chirp, JX, Parrot, and other software.</span><br style="font-family: monospace,monospace;" /><br style="font-family: monospace,monospace;" /><span style="font-family: monospace,monospace;">The software may be downloaded here:</span><br style="font-family: monospace,monospace;" /><a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://ccl.cse.nd.edu/software/download&source=gmail&ust=1681835630423000&usg=AOvVaw2HNRZQOoUijpjQEXUlf3y6" href="http://ccl.cse.nd.edu/software/download" rel="nofollow" style="font-family: monospace,monospace;" target="_blank">http://ccl.cse.nd.edu/<span></span>software/download</a><br style="font-family: monospace,monospace;" /><br style="font-family: monospace,monospace;" /></span><span style="font-family: monospace,monospace;">This is our first release of <a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://ccl.cse.nd.edu/software/taskvine/&source=gmail&ust=1681835630423000&usg=AOvVaw060CH7yNdNpTMnXIMEV17-" href="http://ccl.cse.nd.edu/software/taskvine/" rel="nofollow" target="_blank"><b>TaskVine</b></a>, our new data intensive workflow </span><span style="font-family: monospace,monospace;">execution system. TaskVine make extensive use of in-cluster storage </span><span style="font-family: monospace, monospace;">to accelerate workflows, so that d</span><span style="font-family: monospace,monospace;">ata "grows like a vine" through the cluster. </span><span style="font-family: monospace,monospace;">See our extensive <a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://ccl.cse.nd.edu/software/taskvine&source=gmail&ust=1681835630423000&usg=AOvVaw13GzJ6UQ1vgJ0_FQJVdody" href="http://ccl.cse.nd.edu/software/taskvine" rel="nofollow" target="_blank">documentation and examples</a> to learn more!</span><div><span style="font-family: monospace,monospace;"><br /></span></div><div><span style="font-family: monospace,monospace;">Detailed items in this release:</span></div><div><div><div><span style="font-family: monospace,monospace;"><br /></span></div><div><ul style="text-align: left;"><li><span style="font-family: monospace,monospace;">[TaskVine] First official release (Everyone!)</span></li><li><span><span style="font-family: monospace,monospace;">[General] Change catalog update to tcp by default (D. Thain)</span></span></li><li><span><span style="font-family: monospace,monospace;">[Work Queue] Specify manager as an argument when using the factory in python (Ben<span> </span></span><span style="font-family: monospace,monospace;">Tovar</span><span style="font-family: monospace,monospace;">)</span></span></li><li><span><span style="font-family: monospace,monospace;">[Work Queue] New dynamic resource allocation strategies (Thanh Phung)</span></span></li></ul><span><br style="font-family: monospace,monospace;" /><span style="font-family: monospace,monospace;">Thanks goes to the contributors for many features, bug fixes, and tests:</span><br style="font-family: monospace,monospace;" /><br style="font-family: monospace,monospace;" /></span><ul style="text-align: left;"><li><span><span style="font-family: monospace,monospace;">Matthew Carbonaro</span></span></li><li><span><span style="font-family: monospace,monospace;">Jachob Dolak</span></span></li><li><span><span style="font-family: monospace,monospace;">Joseph Duggan</span></span></li><li><span><span style="font-family: monospace,monospace;">Kelci Mohrman</span></span></li><li><span><span style="font-family: monospace,monospace;">Thanh Son Phung</span></span></li><li><span><span style="font-family: monospace,monospace;">David Simonetti</span></span></li><li><span><span style="font-family: monospace,monospace;">Barry Sly-Delgado</span></span></li><li><span><span style="font-family: monospace,monospace;">Douglas Thain</span></span></li><li><span><span style="font-family: monospace,monospace;">Colin Thomas</span></span></li><li><span><span style="font-family: monospace,monospace;">Ben<span> </span></span><span style="font-family: monospace,monospace;">Tovar</span></span></li></ul></div></div></div></div>Benjamin Tovarhttp://www.blogger.com/profile/16932087378597993760noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-27658867195361090522023-02-22T14:05:00.003-08:002023-02-22T14:06:18.001-08:00TaskVine System Architecture<p><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">TaskVine is our newest framework for building large scale data intensive dynamic workflows. This is the second in a series of posts giving a brief introduction to the system.</span></p><span id="docs-internal-guid-d97a8f16-7fff-a1eb-8874-b889ec82074d"><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">A TaskVine application consists of a </span><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; font-weight: 700; vertical-align: baseline; white-space: pre-wrap;">manager</span><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;"> and multiple </span><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; font-weight: 700; vertical-align: baseline; white-space: pre-wrap;">workers</span><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;"> running in a cluster. The manager is a Python program (or C if you prefer) that defines the </span><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; font-weight: 700; vertical-align: baseline; white-space: pre-wrap;">files</span><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;"> and </span><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; font-weight: 700; vertical-align: baseline; white-space: pre-wrap;">tasks</span><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;"> making up a workflow, and gives them to the TaskVine library to run. Both the files and the tasks are distributed to the workers and put together in order to produce the results. As a general rule, data is left in place on the workers wherever possible, so that it can be consumed by later tasks, rather than bringing it back to the manager.</span></span><div><span><span style="font-family: Arial;"><span style="font-size: 14.666666984558105px; white-space: pre-wrap;"><br /></span></span><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiCvy6YMvAiP_izCxCkYHNz4PaHR3WSknvh6F27CdRrXZl_f19b-DYNiVAhOvdFJPm_dTjWT4bf7pjaqHUFYaFc0X7xCeyqvy8r_JfVilKnT7Ew2gmlee-Ruou8Zz0giN65PkaHMR0_vo1G2CpI8J2SWDGtpsNw5YHYO2V5hpupAR7z_eYG8hlRASfr/s924/Screen%20Shot%202023-02-22%20at%204.36.23%20PM.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="419" data-original-width="924" height="181" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiCvy6YMvAiP_izCxCkYHNz4PaHR3WSknvh6F27CdRrXZl_f19b-DYNiVAhOvdFJPm_dTjWT4bf7pjaqHUFYaFc0X7xCeyqvy8r_JfVilKnT7Ew2gmlee-Ruou8Zz0giN65PkaHMR0_vo1G2CpI8J2SWDGtpsNw5YHYO2V5hpupAR7z_eYG8hlRASfr/w400-h181/Screen%20Shot%202023-02-22%20at%204.36.23%20PM.png" width="400" /></a></div><br /><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">The workflow begins by declaring the input files needed by the workflow. Here, "file" is used generally and means any kind of data asset: a single file on the filesystem, a large directory tree, a tarball downloaded from an external url, or even just a single string passed from the manager. These files are pulled into the worker nodes on the cluster as needed. </span><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">Then, the manager defines tasks that consume those files. Each task consumes one or more files, and produces one or more files.</span></p></span><span><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;"><br /></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">A file declaration looks like one of these:</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;"><br /></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-size: 11pt; white-space: pre-wrap;"><span style="font-family: courier;">a = FileURL("http://server.edu/path/to/data.tar.gz")</span></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-size: 11pt; white-space: pre-wrap;"><span style="font-family: courier;">b = FileLocal("/path/to/simulate.exe")</span></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-size: 11pt; white-space: pre-wrap;"><span style="font-family: courier;">c = FileTemp() </span></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;"><br /></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">And then a task declaration looks like this:</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;"><br /></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: courier;"><span style="font-size: 11pt; white-space: pre-wrap;">t = Task("simulate.exe -i</span><span style="font-size: 11pt; white-space: pre-wrap;"> input.dat")</span></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-size: 11pt; white-space: pre-wrap;"><span style="font-family: courier;">t.add_input(a,"simulate.exe")</span></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-size: 11pt; white-space: pre-wrap;"><span style="font-family: courier;">t.add_input(b,"input.dat")</span></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-size: 11pt; white-space: pre-wrap;"><span style="font-family: courier;">t.add_output(c,"output.txt")</span></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;"><br /></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">Tasks produce files which get consumed by more tasks </span><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">until you have a large graph of the entire computation that might look like this:</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;"><br /></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiaG6J969UFoMN9o06OvWI-J8mAmy_XuaNLMMewE0TY82zgeBHalfRJF3FykQs7M58LX2TMvtNUwzAGgDWGN29pzpdmcWaF2roaHN6B_343tRX_NGB0J2sBM8uIcbqhzBVGs3qHr_8fCCl9K5Si5OMab1TElHun8G43zbPpAB6Dz_LLyvoQ0FKg3RhO/s817/Screen%20Shot%202023-02-22%20at%204.34.19%20PM.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="237" data-original-width="817" height="161" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiaG6J969UFoMN9o06OvWI-J8mAmy_XuaNLMMewE0TY82zgeBHalfRJF3FykQs7M58LX2TMvtNUwzAGgDWGN29pzpdmcWaF2roaHN6B_343tRX_NGB0J2sBM8uIcbqhzBVGs3qHr_8fCCl9K5Si5OMab1TElHun8G43zbPpAB6Dz_LLyvoQ0FKg3RhO/w551-h161/Screen%20Shot%202023-02-22%20at%204.34.19%20PM.png" width="551" /></a></div><br /><p></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">To keep things clean, each task runs in a sandbox, where files are mapped in as names convenient to that task. As tasks produce outputs, they generally stay on the worker where they were created, until needed elsewhere. </span><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">Later tasks that consume those outputs simply pull them from other workers as needed. (Or, in the ideal case, run on the same node where the data already is.).</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;"><br /></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">A workflow might run step by step like this:</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;"><br /></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhk0SiRpv09TNtvu3ePJIOcvhElyDdvoigNEPQbwJ10AYz_1vMfMoj6s_S0pEEqt3O3s2ABGTQ4sxxfnZ8h7lyBbP39lEijNuszSiCEQKBm_zn-h1SGZGPL4Lf9HpoPBekXoco9b8U3wmDRmOCGIGRgV4koBu36ILI_hreopq5lp6Mfd5JctrOU6PxS/s1218/m1.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="302" data-original-width="1218" height="99" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhk0SiRpv09TNtvu3ePJIOcvhElyDdvoigNEPQbwJ10AYz_1vMfMoj6s_S0pEEqt3O3s2ABGTQ4sxxfnZ8h7lyBbP39lEijNuszSiCEQKBm_zn-h1SGZGPL4Lf9HpoPBekXoco9b8U3wmDRmOCGIGRgV4koBu36ILI_hreopq5lp6Mfd5JctrOU6PxS/w400-h99/m1.png" width="400" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhQgUnwzUnHg2iN4eNqO4vnIRe-7ALHf7mchg8XBkA1W4xF1QkgiMY1evYzJgW-oo22wBaIBsNR_8T_kP0_6lUnE36bd64h--wSB9dAAX-3l8Ydt1IXS52J-_GzQhLs7AxFrob0GaAtgZULMNHPWmKvamW7u3tf4GjuhYZVm75woU25o0Kfj6GgCPmj/s1218/m2.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="302" data-original-width="1218" height="99" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhQgUnwzUnHg2iN4eNqO4vnIRe-7ALHf7mchg8XBkA1W4xF1QkgiMY1evYzJgW-oo22wBaIBsNR_8T_kP0_6lUnE36bd64h--wSB9dAAX-3l8Ydt1IXS52J-_GzQhLs7AxFrob0GaAtgZULMNHPWmKvamW7u3tf4GjuhYZVm75woU25o0Kfj6GgCPmj/w400-h99/m2.png" width="400" /></a></div><br /><p></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"></p></span><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">You can see that popular files will be naturally replicated through the cluster, which is why we say the workflow "grows like a vine" as it runs. When final outputs from the workflow are needed, the manager pulls them back to the head node or sends them to another storage target, as directed.</span><span><br /></span><br /></div>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-14630841731810545232023-02-22T13:32:00.000-08:002023-02-22T13:32:04.861-08:00A Preview of TaskVine<div class="separator" style="clear: both; text-align: center;"><a href="http://ccl.cse.nd.edu/software/taskvine/taskvine-logo.png" imageanchor="1" style="font-family: Arial; font-size: 14.666666984558105px; margin-left: 1em; margin-right: 1em; text-align: center; white-space: pre-wrap;"><img border="0" data-original-height="200" data-original-width="800" height="50" src="http://ccl.cse.nd.edu/software/taskvine/taskvine-logo.png" width="200" /></a></div><p></p><p><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">We have seemed a bit quiet in the </span><a href="http://ccl.cse.nd.edu" style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">Cooperative Computing Lab</a><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;"> lately, as we have been focused on building </span><a href="http://ccl.cse.nd.edu/software/taskvine" style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">TaskVine</a><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">, our new system for executing dynamic data intensive workflows.</span></p><p><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">I am excited that TaskVine is up and running in the lab now! We are working on refining a few technical issues and completing documentation and examples before making a general release. I would like to share some of the details and philosophy of the system as a preview before general availability.</span></p><p><span style="font-family: Arial; font-size: 11pt; white-space: pre-wrap;">TaskVine builds upon our many years of experience building large scale workflow systems that manage millions of jobs running on thousands of nodes in clusters, clouds, and grids. Some of our prior systems include <a href="http://ccl.cse.nd.edu/software/makeflow">Makeflow</a>, which enabled the construction of large (static) task graphs to run on batch systems; <a href="http://ccl.cse.nd.edu/software/workqueue">Work Queue</a>, which enabled the creation of applications that define and consume tasks dynamically; and <a href="http://ccl.cse.nd.edu/software/prune">Prune</a>, which enabled the management of reproducible and shareable computations. (And you can still use those systems if you like.)</span></p><div><span><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">TaskVine has some familiar concepts: it too allows the creation of large dynamically parallel distributed applications. But where it really shines is in data management.</span></p><br /><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">In TaskVine, </span><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; font-weight: 700; vertical-align: baseline; white-space: pre-wrap;">data is first class citizen</span><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;"> alongside tasks. Large data sets, software packages, and software services are explicitly declared and put into a working cluster where they can be replicated and shared among nodes. As an application runs, source data and derived results stay in the cluster and gradually creep from node to node, accelerating future tasks. Even later workflows can take advantage of data prepared or produced by prior workflows. We say that the workflow "grows like a vine" through the cluster.</span></p><div><span><br /></span></div><div><span id="docs-internal-guid-8c45ffbd-7fff-e004-f4fd-ac993438c3ca"> <div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh1QCvqcAWb-DY6fT58LFmjoUVXsPaclugW1xsyXbo_mSEXY3MfpemP48cgIgI0gwXNSyxNg6gyISTU9CIQeiWxzmlsegrSb-RPzfi564NT46FWveMBSo9RoCrlfgRQBlDKGEXI-w_nyUKe_IHsxMmVwIzLS8r1QVjbfkHy96i2BPil80F5MN9ZpZJh/s960/TaskVine%20Overview.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh1QCvqcAWb-DY6fT58LFmjoUVXsPaclugW1xsyXbo_mSEXY3MfpemP48cgIgI0gwXNSyxNg6gyISTU9CIQeiWxzmlsegrSb-RPzfi564NT46FWveMBSo9RoCrlfgRQBlDKGEXI-w_nyUKe_IHsxMmVwIzLS8r1QVjbfkHy96i2BPil80F5MN9ZpZJh/s320/TaskVine%20Overview.png" width="320" /></a></div><br /></span></div><br /><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">The upshot is that TaskVine takes load off of the facility shared filesystem, which is often the bottleneck in scaling up large applications. Big software stacks, reference datasets, and intermediate steps are made accessible on the worker nodes in a disciplined way, rather than a thousand nodes pounding the same filesystem at once.</span></p><div><br /></div><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-ligatures: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Of course, to make all this happen, there are a lot of fine details. In the next few posts, I'll give you an overview of the system architecture, and the new capabilities that we are building out.</span></p></span><br class="Apple-interchange-newline" /></div>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-34300850293422988352023-02-07T07:37:00.001-08:002023-02-07T07:37:28.570-08:00Landlord Container Paper in TPDS 2023<p>Our latest work on container management was recently accepted to IEEE TPDS:<span style="background-color: white; font-family: times; font-size: 16px;"> </span></p><p><b style="font-family: times; font-size: 16px;"><a href="http://dx.doi.org/10.1109/TPDS.2023.3241598" target="_blank">LANDLORD: Coordinating Dynamic Software Environments to Reduce Container Sprawl</a></b></p><p>his paper is the result of a continuing collaboration between the CCL at Notre Dame and the Parsl group at University of Chicago, led by Dr. Kyle Chard. Recent PhD grad Tim Shaffer led this work as part of a DOE Computational Science Graduate Fellowship, and current PhD student Thanh Phung joined the project and helped us to view the problem from a clustering perspective.</p><div><div><br /></div></div><div>The problem is this: a variety of online services (like Binder, FuncX, and others) generate container images from software environment specifications, like a list of Conda packages. These images are used to execute code on clusters: sometimes long-running code like simulations, but also sometimes short bits of code, maybe even a single Python function call. If every user of the system asks for a slightly different software environment, then the system will quickly run out of space from those large container environments. ("container sprawl") So, we need some entity to manage the space and decide what containers to generate from packages, and which ones to delete:</div><div><br /></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjLmKFYSvmddZZh2Jx_d-VztfbZKQvEpEDAXVHpLScgJjgUney8hPGnlEar4I-0l-RfniJ6_U6LAQDM3-J9dmrJ80ZVPwntjlb45YVFovJwMQaC9XnRqVPr4-TSlUUdmQvAlDiW7vgVkPrLJxIMEa4NDJb5jmU0zcvftoqzpeFbZnog4XRM6OuWo2EY/s732/Screen%20Shot%202023-02-07%20at%209.54.07%20AM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="544" data-original-width="732" height="238" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjLmKFYSvmddZZh2Jx_d-VztfbZKQvEpEDAXVHpLScgJjgUney8hPGnlEar4I-0l-RfniJ6_U6LAQDM3-J9dmrJ80ZVPwntjlb45YVFovJwMQaC9XnRqVPr4-TSlUUdmQvAlDiW7vgVkPrLJxIMEa4NDJb5jmU0zcvftoqzpeFbZnog4XRM6OuWo2EY/s320/Screen%20Shot%202023-02-07%20at%209.54.07%20AM.png" width="320" /></a></div></div><div><br /></div><div>We observe that multiple requests might be satisfied by the same container. For example, these three jobs all express some constraints on packages A and B. (And one of those jobs doesn't care about the version at all. If we figure out the overlap between those requests, we can just use a single image to satisfy all three:</div><div><br /></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh9ekMDmlBchwUDRHsfgk_0oQxbu-WMvWOzUirW2Z8YwsLRo-0Bi6BE5iZLRnFL8vaTkUyJvY8nTAhT4utC_Iwo6qkyomPar8PUgC1-k3rI0_QpmJGEprlW08V5NtOQZ7KKale3vtVvYyUfxT25L2QzxiCdd0poYPpiICInmCI4d4vpkY04MKdcx2Fx/s691/Screen%20Shot%202023-02-07%20at%209.54.28%20AM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="357" data-original-width="691" height="165" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh9ekMDmlBchwUDRHsfgk_0oQxbu-WMvWOzUirW2Z8YwsLRo-0Bi6BE5iZLRnFL8vaTkUyJvY8nTAhT4utC_Iwo6qkyomPar8PUgC1-k3rI0_QpmJGEprlW08V5NtOQZ7KKale3vtVvYyUfxT25L2QzxiCdd0poYPpiICInmCI4d4vpkY04MKdcx2Fx/s320/Screen%20Shot%202023-02-07%20at%209.54.28%20AM.png" width="320" /></a></div><div>Going further, we can view this as an incremental online clustering problem. At any given moment, there are a certain number of containers instantiated. If a request matches one already, that's a <b>hit </b>and we just use it. Otherwise that's a miss and we have two choices: either <b>insert</b> a brand new container image that matches the request exactly, or merge an existing container with some new packages in order to satisfy the <b>request. </b>We decide what to do based on a single parameter <b>alpha,</b> which is a measure of distance between the request and the existing container.</div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiOrBPr6UGuD2DNkdkjY997Rg3cBJFezkZwfN99dwb2YknNy_cGMa9LUtyouzzqYU3XtbRENTRLRkIS8dAtJRUi2Pjne6rqu1cQl4iazoZAm8S8ivkql_t-wVqj4wOWHirpyNTtdwCkiYLclWL5Mdu2sGUf0VH9vEyb-0hzyITwRhG0j7319J4ewN3o/s709/Screen%20Shot%202023-02-07%20at%209.54.14%20AM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="364" data-original-width="709" height="164" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiOrBPr6UGuD2DNkdkjY997Rg3cBJFezkZwfN99dwb2YknNy_cGMa9LUtyouzzqYU3XtbRENTRLRkIS8dAtJRUi2Pjne6rqu1cQl4iazoZAm8S8ivkql_t-wVqj4wOWHirpyNTtdwCkiYLclWL5Mdu2sGUf0VH9vEyb-0hzyITwRhG0j7319J4ewN3o/s320/Screen%20Shot%202023-02-07%20at%209.54.14%20AM.png" width="320" /></a></div></div><div class="separator" style="clear: both; text-align: justify;"><br /></div><div class="separator" style="clear: both; text-align: justify;">Ok, so now how do we pick alpha? We evaluated this by running the Landlord algorithm through traces of software requests from high energy physics workloads and a public trace of binder requests.</div><div class="separator" style="clear: both; text-align: justify;"><br /></div><div class="separator" style="clear: both; text-align: justify;">There are two extremes to avoid: if alpha is very small, then we end up with a small number of very large containers. This is good for managing the shared cache, but bad because we have to keep moving very large containers out to the compute nodes. (And they may not fit!). On the other hand, if alpha is very large, then we end up with a large number of small containers. This results in a lot of duplication of packages, so the shared cache fills up faster, but the images are small and easy to move around.</div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjLX4ECxvHIchU-Cpz94Q2NQ68WT8wQsjonbosfoMnMWd6z2LBEtjT3_wDVBxE7ktGJjmAkhML79j74xyfyYR-IOa4kHH4O3BO5kAycCFjsPhpWNS6v4ozTLh8iv81WZaVmdzL3B-_8cyuZeuyEnzqCP20eF3nsjIRWRRoY3JiGujlCFVqZOeJEZoSU/s702/Screen%20Shot%202023-02-07%20at%209.55.03%20AM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="390" data-original-width="702" height="178" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjLX4ECxvHIchU-Cpz94Q2NQ68WT8wQsjonbosfoMnMWd6z2LBEtjT3_wDVBxE7ktGJjmAkhML79j74xyfyYR-IOa4kHH4O3BO5kAycCFjsPhpWNS6v4ozTLh8iv81WZaVmdzL3B-_8cyuZeuyEnzqCP20eF3nsjIRWRRoY3JiGujlCFVqZOeJEZoSU/s320/Screen%20Shot%202023-02-07%20at%209.55.03%20AM.png" width="320" /></a></div><br />As in most computer systems, there isn't one single number that is the answer: rather, it is a tradeoff between desiderata. Here, we have a broad sweet spot around alpha=0.8. But the good news is that the system has a broad "operational zone" in which the tradeoff is productive. <br /><div><br /></div><div>Sound interesting? Check out the full paper:</div><div><ul><li><span style="background-color: white; font-family: times; font-size: 16px;">Tim Shaffer, Thanh Son Phung, Kyle Chard, and Douglas Thain, </span><a href="http://ccl.cse.nd.edu/research/papers/landlord-tpds-2023-preprint.pdf" style="color: navy; font-family: times; font-size: 16px;"><b>LANDLORD: Coordinating Dynamic Software Environments to Reduce Container Sprawl</b></a><span style="background-color: white; font-family: times; font-size: 16px;">, </span><i style="font-family: times; font-size: 16px;">IEEE Transactions on Parallel and Distributed Systems</i><span style="background-color: white; font-family: times; font-size: 16px;">, to appear in </span><span style="background-color: white; font-family: times; font-size: 16px;">2023. DOI: </span><a href="http://dx.doi.org/10.1109/TPDS.2023.3241598" style="color: navy; font-family: times; font-size: 16px;">10.1109/TPDS.2023.3241598</a></li></ul></div><div><br /></div><div><br /></div>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-21295058197167389662022-10-12T10:19:00.001-07:002022-10-12T10:19:19.538-07:00Mufasa: Robust Meta-Workflow Management at eScience 2022<div class="separator" style="clear: both; text-align: left;">This week, I'll be presenting Ben Lyon's M.S. project work on Mufasa at the eScience 2022 conference in Salt Lake City. Mufasa is a <b>meta-workflow manager</b> that schedules multiple workflows onto a cluster. When executing a large number of workflows, the WMS itself can have substantial resource consumption on the head node, network, and shared filesystem as it moves data to and from the cluster. Mufasa schedules these resources, ensuring that the system maintains throughput even under heavy load of arriving workflows.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="http://ccl.cse.nd.edu/research/papers/mufasa-poster-escience-2022.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="600" data-original-width="800" height="300" src="http://ccl.cse.nd.edu/research/papers/mufasa-poster-escience-2022.png" width="400" /></a></div><div><br /></div><ul style="font-family: times; font-size: 16px; list-style-position: outside; margin-left: 2em; padding-left: 0em;"><table style="font-size: 16px;"><tbody><tr><td valign="middle"><p></p><li><span style="color: navy;">Ben Lyons and Douglas Thain, </span><a href="http://ccl.cse.nd.edu/research/papers/mufasa-escience-2022.pdf" style="color: navy;"><b>Robust Meta-Workflow Management with Mufasa</b></a><span style="color: navy;">, </span><i style="color: navy;">I</i><span style="color: navy;">EEE International Conference on eScience</span><span style="color: navy;">, October, 2022.<a href="http://ccl.cse.nd.edu/research/papers/mufasa-escience-2022.pdf"> [Short Paper]</a> <a href="http://ccl.cse.nd.edu/research/papers/mufasa-poster-escience-2022.pdf">[Poster Image]</a></span></li><p></p></td></tr></tbody></table></ul><p><br /></p>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-6357661912001463432022-09-16T06:51:00.002-07:002022-09-16T06:51:44.436-07:00pyHEP 2022: Automatic resource management with Coffea and WorkQueue<p><a href="https://indico.cern.ch/event/1150631/">pyHEP</a> is a virtual workshop to discuss the use of python in the High Energy Physics community. In this year pyHEP (2022), we showcased the resource management features that Work Queue offers when executing HEP analysis workflows using the <a href="https://coffeateam.github.io/coffea/">Coffea</a> framework. We showed how Work Queue is able to automatically tailor the resources allocated (cores, memory, disk) to the tasks executed, and how it modify the size of the tasks so that they can fit the resources available.<br /></p><p>You can access the jupyter notebook we used for the talk here: <a href="https://github.com/cooperative-computing-lab/coffea-wq-notebook">https://github.com/cooperative-computing-lab/coffea-wq-notebook</a></p><p></p><p></p><p></p><p></p><p><a href="https://zenodo.org/badge/latestdoi/518830455"><img alt="DOI" src="https://zenodo.org/badge/518830455.svg" /></a><br /></p><p><br /></p><p><img height="265" 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" width="400" /></p>Benjamin Tovarhttp://www.blogger.com/profile/16932087378597993760noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-22622223040485148062022-08-17T08:34:00.002-07:002022-08-18T06:48:22.749-07:00US-CMS PURSUE internship project: Searching for Extreme Events in Multi-lepton Data from the LHC<p> As part of the <a href="https://sites.google.com/upr.edu/uscms-pursue/home?authuser=0">US-CMS PURSUE</a> summer internship project, we hosted Xinyue Wu, a rising junior from the University of Rochester. The purpose of the internship is to provide a real research experience to undergrad students in topics related to the CMS particle detector of the Large Hadron Collider. Xinyue implemented a process to search for collision events of interest from real data provided by the CMS detector, and compared the results obtained to predicted yields as computed from simulation data. The events found were then visualized using tools provided by the CMS software environment.</p><p>For this project, Xinyue quickly learned how to use different technologies related to CMS analysis workflows running at scale in a distributed system. These included <a href="https://htcondor.org/">HTCondor</a>, <a href="https://coffeateam.github.io/coffea/">Coffea</a>, <a href="https://github.com/TopEFT/topcoffea">TopCoffea</a>, and <a href="https://cctools.readthedocs.io/en/latest/work_queue/">Work Queue</a>. Xinyue was able to run this analysis workflow using hundreds of cores at the University of Notre Dame compute nodes.</p><p> We thank Ph.D. candidate Kelci Mohrman and Prof. Kevin Lannon for their support and input. We congratulate Xinyue on the very successful completion of this project!<br /></p><p><a href="https://ccl.cse.nd.edu/research/posters/Xinyue_Wu_Poster.pdf">Link to the final poster</a></p><p><br /></p><p><img height="288px;" id="docs-internal-guid-06aeac59-7fff-0940-ea37-8e86f2a19599" src="https://lh3.googleusercontent.com/QnvnLI3c1_UdYIpA7Z1JZTOy3JdTB9tigyrhTb9FB13bz-A-RUjEwXpCx3j3MRf5ufBiNON5Bnjf333s6wPnjopAtyuWue5Gp54_mhXO1navkpuvVqhuc1G_vQFbC1LUZaEC5xPUB-RBeCF8Q3WmKiE2iw" width="505px;" /></p>Benjamin Tovarhttp://www.blogger.com/profile/16932087378597993760noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-69460816617568964752022-08-17T08:04:00.000-07:002022-08-17T08:04:01.080-07:00Demo of the Work Queue executor at Coffea User's meeting<p>Last August 15, 2022 we gave a demonstration on how to use <a href="https://coffeateam.github.io/coffea/">Coffea</a> using the Work Queue executor. Coffea is a framework for pulling together all the typical needs
of a high-energy collider physics (HEP) experiment analysis using the scientific
python ecosystem. Using Coffea on top of Work Queue, we can automatically manage the resources (such as cores, memory, and disk) to maximize the number of concurrent tasks that the application can run. Further, since Work Queue tasks can be created dynamically once the application is running, we can shape the size of tasks (in this case, the number of collision of particle events) so that they better fit the resources available. </p><p>For this demo, we also showcased a new status display for Work Queue when used inside a jupyter notebook:</p><p> </p><p><img height="400" src="data:image/png;base64,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" style="display: block; margin: auto;" width="400" /> <br /></p><p><br /></p><p><br /></p>Benjamin Tovarhttp://www.blogger.com/profile/16932087378597993760noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-41910065411197062682022-08-01T10:43:00.003-07:002022-08-01T10:43:51.330-07:00iSURE Project: Visualizing and Right Sizing Work Queue Applications<p><b>Samuel Huang</b>, an exchange student in the iSURE program, recently completed a summer project with the Cooperative Computing Lab at the University of Notre Dame. He developed tools for visualizing the performance and behavior of distributed Work Queue applications. These applications can run on thousands of nodes and may have surprisingly complex behavior over time. Visualization is key to understanding what's going on.</p><p>For example, this display shows an application consisting of about 30,000 tasks. Each line segment shows one task from beginning to end, sorted by submission time. (The color indicates the type of each task: preprocessing, processing, or accumulation.). As this display clearly shows, this application goes through several distinct phases, in which tasks of different types take increasing amounts of time. In fact, the last few thousands tasks take much longer, showing a classic "long tail" behavior common to distributed applications.</p><p><br /></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhhOPvZ06umkKQyENaQvofVYy9y78NJtG8zwpbiTo5sSOzDaZbsKDk26ArIUnPdcWWQngDPrjPTV4TVwEQmuK0FjBYzrGMQoqpIe9aO3zk-ZPmvs0XYQA7kWZt02NhHKWWCnSU9J2zYFACYM1YF887ZuWsxJ8RZPF2WpjITciCBn4YcLuliKA39Mgw3/s1879/tasks-lifetime.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="932" data-original-width="1879" height="199" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhhOPvZ06umkKQyENaQvofVYy9y78NJtG8zwpbiTo5sSOzDaZbsKDk26ArIUnPdcWWQngDPrjPTV4TVwEQmuK0FjBYzrGMQoqpIe9aO3zk-ZPmvs0XYQA7kWZt02NhHKWWCnSU9J2zYFACYM1YF887ZuWsxJ8RZPF2WpjITciCBn4YcLuliKA39Mgw3/w400-h199/tasks-lifetime.png" width="400" /></a></div><div><br /></div>This display is of the same application, but showing the utilization of the worker processes in the system. Here you can see delays in provisioning. The first 60-some workers arrive quite quickly, and the manager is able to dispatch (preprocessing) tasks to them quickly. The next 200-some workers arrive another minute in, and task some time to be fully utilized, due to the requirements of moving software dependencies for each task. Finally, at the end of execution, some additional workers become available, but go unutilized due to the change in task resource consumption.<div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiKtrtqf2hq8RFlREpuQgQOkRp3AVmE4oXMjKvS6TjJi6mNMczxFuXQzVhTbMPiYicOo3-xzpV_uwVv_2qw5vtG5dGeyJJKFLw5X1hsbP6FTqlr-pY3VNYUcobztJfyE7QZwhQ4W9xOxRN09AH8ijDzKhfQWTnHRxQxWSB_yjrouYmIFjhU8Xr3s673/s1875/worker-lifetime.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="933" data-original-width="1875" height="199" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiKtrtqf2hq8RFlREpuQgQOkRp3AVmE4oXMjKvS6TjJi6mNMczxFuXQzVhTbMPiYicOo3-xzpV_uwVv_2qw5vtG5dGeyJJKFLw5X1hsbP6FTqlr-pY3VNYUcobztJfyE7QZwhQ4W9xOxRN09AH8ijDzKhfQWTnHRxQxWSB_yjrouYmIFjhU8Xr3s673/w400-h199/worker-lifetime.png" width="400" /></a></div><br /><p>Both these display are now integrated into CCTools in the <span style="font-family: courier;">work_queue_graph_workers</span><span style="font-family: inherit;"> tool, which generates a dynamic webpage for digging into the detailed data.</span></p></div>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-9252484224121379442022-08-01T09:30:00.002-07:002022-08-01T09:31:04.739-07:00REU Project: TopEFT Performance Analysis: Solving Bottlenecks in Data Transfer and Task Resource Management<p>Andrew Hennessy, a junior at Notre Dame, recently completed a summer REU project in which he analyzed and improved the performance of TopEFT, a high energy physics analysis application built using the <a href="http://coffeateam.github.io">Coffea framework</a> and the <a href="http://ccl.cse.nd.edu/software/workqueue">Work Queue</a> distributed execution system.</p><p>This applications runs effectively in production, but takes about one hour to complete an analysis on O(1000) cores -- we would like to get it down to fifteen minutes or less in order to enable "near real time" analysis capability. Andrew built a visualization of the accumulation portion and observed one problem: the data flow is highly unbalanced, resulting in the same data moving around multiple times. He modified the scheduling of the accumulation step, resulting in a balanced tree with reduced I/O impact.</p><p>Next, he observed that processing tasks acting on different datasets have different resource needs: tasks consuming monte carlo (simulated) data take much more time and memory than tasks consuming Production (acquired) data. This results in a slowdown as the system gradually adjusts to the changing task size. The solution here is to ask the user to label the datasets appropriately, and place the Monte Carlo and Production tasks in different "categories" in Work Queue, so that resource prediction will be more accurate.</p><p>See the entire poster here:</p><div class="separator" style="clear: both; text-align: center;"><a href="https://drive.google.com/file/d/1KApi3Mc_-lTdOF4JE56oghbDWWJpVKan/view?usp=sharing" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1875" data-original-width="2500" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhpnMonSRAEvYzv94Rim7gw3mYsLC4HSXV_fnUDPa7eQDA7hYoZoUzIXT_7Qgwpm2q6xVf652i34WZfk5AKoDHcRwgcIGQFF55YdgSoMCCbtFcpEb24JcjlopYU3SNz-ryOUhG1xR93roHbpMEPPng4jk_W1DGnOhLW_McYfR97m5gN4FkxpAHfzPRz/w400-h300/TopEFT%20Performance%20Analysis%20Poster%202022.png" width="400" /></a></div><br /><p><br /></p>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-63127693090091260532022-08-01T08:08:00.003-07:002022-08-01T09:31:14.598-07:00REU Project: Integrating Serverless and Task Computation in Work QueueDavid Simonetti, a junior undergraduate at Notre Dame, recently completed a summer REU project in which he added "serverless" computing capabilities to the Work Queue distributed computing framework.<div><br /></div><div><a href="http://ccl.cse.nd.edu/software/workqueue">Work Queue</a> has historically used a "task" abstraction in which a complete program with its input files is submitted for remote execution. David added a capability in which a coprocessor is attached to each worker, providing a hot function execution environment. Then, lightweight tasks representing single function executions can be sent throughout the distributed system, making use of the existing scheduling, resource management, and data movement capabilities of Work Queue.<div><br /></div><div>This allows for the integrated execution of both conventional whole-process tasks and lightweight functions within the same framework. Check out the <a href="https://drive.google.com/file/d/1KApi3Mc_-lTdOF4JE56oghbDWWJpVKan/view?usp=sharing" target="_blank">full poster</a> here:</div></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiqIYsRJ3W810WOL43OZl6hys3KnmmloLvYMCRbw_AMMA5z8U9rovrdwP_YkwwCtuRdRRXS-KX1DsEwKkr5syzU__04Am1vEK8q6fziUlT2kWimu-lmVQjMyiXqGIlu7SBZ8WHOFq8MehHPLwsDEUYYqRQyFS7ko7wjtEnHSLXQrfceSZWZuUs8medM/s2500/Coprocess_Serverless%20Poster%202022.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1875" data-original-width="2500" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiqIYsRJ3W810WOL43OZl6hys3KnmmloLvYMCRbw_AMMA5z8U9rovrdwP_YkwwCtuRdRRXS-KX1DsEwKkr5syzU__04Am1vEK8q6fziUlT2kWimu-lmVQjMyiXqGIlu7SBZ8WHOFq8MehHPLwsDEUYYqRQyFS7ko7wjtEnHSLXQrfceSZWZuUs8medM/w400-h300/Coprocess_Serverless%20Poster%202022.png" width="400" /></a></div><br /><div><br /></div>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-84492188350163083602022-07-22T05:58:00.002-07:002022-07-22T05:59:13.555-07:00CCTools version 7.4.9 released<p> The Cooperative Computing Lab is pleased to announce the release of version 7.4.9 of the Cooperative Computing Tools including Parrot, Chirp, JX, Makeflow, WorkQueue, and other software.<br /><br />The software may be downloaded here:<br /><a href="http://ccl.cse.nd.edu/software/download">http://ccl.cse.nd.edu/software/download</a><br /><br />This is a bug fix release:<br /><br /></p><ul style="text-align: left;"><li>[General] Update binary build to OSX-11. (Ben Tovar)</li><li>[General] Several updates to JX documentation. (Douglas Thain)</li><li>[Work Queue] Fix bug where some old files where not deleted from worker's cache. (Ben Tovar)</li><li>[Work Queue] Fix warning message for required size of workers. (Ben Tovar)</li><li>[Work Queue] Add transfers size information to transactions log. (Guanchao Huang)</li></ul><p style="text-align: left;"><br />Thanks goes to the contributors for many features, bug fixes, and tests:<br /><br /></p><ul style="text-align: left;"><li>Andrew Hennessee</li><li>Guanchao Huang</li><li>Kelci Mohrman</li><li>Thanh Son Phung</li><li>David Simonetti</li><li>Barry Sly-Delgado</li><li>Douglas Thain</li><li>Ben Tovar</li></ul><p style="text-align: left;"><br /><br />Please send any feedback to the CCTools discussion mailing list:<br /><br /><a href="http://ccl.cse.nd.edu/community/forum">http://ccl.cse.nd.edu/community/forum</a><br /><br />Enjoy!<br /><br /></p>Benjamin Tovarhttp://www.blogger.com/profile/16932087378597993760noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-78578155204547360282022-06-09T08:41:00.001-07:002022-06-09T08:45:58.184-07:00How Many Eggs Can You Fit In One Nest?<p style="text-align: center;">Prof. Thain gave a talk at HTCondor Week 2022, giving an overview of some of our recent work on resource management in high throughput scientific workflows. An HTCondor talk requires a "bird" metaphor, so I proposed the following question:</p><p style="text-align: center;"><b>How many eggs can you fit in one nest?</b></p><p style="text-align: center;"></p><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="243" src="https://www.youtube.com/embed/754FU_Oiqxg" width="292" youtube-src-id="754FU_Oiqxg"></iframe></div><br /><b><br /></b><p></p><p style="text-align: center;">A modern cluster is composed of large machines that may have hundreds of cores each, along with memory, disk, and perhaps other co-processors. While it is possible to write a single application to use the entire node, it is more common to pack multiple applications into a single node, so as to maximize the overall throughput of the system.</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj4t13v9Kq83KyvuKl440Rt-XNJNo8aENTui1fIIL46PqlHPD6CqIzQCRX5pfNJW-DpMJKKMdYqW4eWvboDg8r0Czj7mami1s3emI83xFVw2iw8KzjvwR93-3ETaLNBbxAfvDMMSY6x14cdAAQmfjksKmt6OPa-FuwI01_2rUpR-WgVIHYtUR5SEpiU/s960/How%20Many%20Eggs%3F%20HTCondor%20Week%202022.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj4t13v9Kq83KyvuKl440Rt-XNJNo8aENTui1fIIL46PqlHPD6CqIzQCRX5pfNJW-DpMJKKMdYqW4eWvboDg8r0Czj7mami1s3emI83xFVw2iw8KzjvwR93-3ETaLNBbxAfvDMMSY6x14cdAAQmfjksKmt6OPa-FuwI01_2rUpR-WgVIHYtUR5SEpiU/s320/How%20Many%20Eggs%3F%20HTCondor%20Week%202022.png" width="320" /></a></div><p style="text-align: center;">We design and build frameworks like Work Queue that allow end users to construct high throughput workflows consisting of large numbers of tasks:</p><p style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjIgNFu35r2BY1voIKDnikdTgq5GNriLqcpO_I4YTH4Y08MVaZunXG_SGe-MxQVV-fxQeklEGPIMDllGKGCmGwRHRDG9JBy1c11xsIhGGxYF5uAjP5X8usdQCVmCoy3_VENxGHVLfSxUz6RX-W6Rm3PSqAEEa7NQOJB7li_t-ZyLpvbab5FeN4gTFMp/s960/How%20Many%20Eggs%3F%20HTCondor%20Week%202022-2.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjIgNFu35r2BY1voIKDnikdTgq5GNriLqcpO_I4YTH4Y08MVaZunXG_SGe-MxQVV-fxQeklEGPIMDllGKGCmGwRHRDG9JBy1c11xsIhGGxYF5uAjP5X8usdQCVmCoy3_VENxGHVLfSxUz6RX-W6Rm3PSqAEEa7NQOJB7li_t-ZyLpvbab5FeN4gTFMp/s320/How%20Many%20Eggs%3F%20HTCondor%20Week%202022-2.png" width="320" /></a></p><p style="text-align: center;">But, how does the end user (or the system) figure out what resources are needed by each task? The end user might have some guess at the cores and memory needed by a single task, but these values can change dramatically when the parameters of the application are changed. Here is an example of a computational chemistry application that shows highly variable resource consumption:</p><p style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgbagA-mZQx_x4gxnQleyfy9H9ihHVKlTr1cATc0YQa24hxSg2JawisIsz7ZYIlSQynD_6L2QjS4sySPMZ5cFETX-rXc4Ug4RlZbI1BQk6Nc-_ISsWsq3uxdPc9s_tvsWXV7WhNAzkFKoJ1vTRgQysweovZpyNHafeonpWFCL2r5KKK_SESgouPvzsN/s960/How%20Many%20Eggs%3F%20HTCondor%20Week%202022-3.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgbagA-mZQx_x4gxnQleyfy9H9ihHVKlTr1cATc0YQa24hxSg2JawisIsz7ZYIlSQynD_6L2QjS4sySPMZ5cFETX-rXc4Ug4RlZbI1BQk6Nc-_ISsWsq3uxdPc9s_tvsWXV7WhNAzkFKoJ1vTRgQysweovZpyNHafeonpWFCL2r5KKK_SESgouPvzsN/s320/How%20Many%20Eggs%3F%20HTCondor%20Week%202022-3.png" width="320" /></a></p><p style="text-align: center;">CCL grad student Thanh Son Phung came up with a technique that dynamically divides the tasks into "small" and "large" allocation buckets, allowing us to automatically allocate memory and pack tasks without any input or assistance from the user:</p><p style="text-align: center;"><span id="docs-internal-guid-209a6d30-7fff-5fb6-9c75-e40079cc3925" style="text-align: start;"><img height="165" src="https://lh6.googleusercontent.com/-T4bXrfIyq5CHO2QklFFSRicvs4zN2QD_LzsMKiGkeXqscFUFecEmvMNPC-Z28VVpjcqlMVKsM0T6mg0Nk4hjPKWjL4vcX_VF24Y8DoN1LQAvB0vNs_KkuuUHT7BU79xxCnRf4-l4DzAX58mcGY6dQ=w410-h165" width="410" /></span></p><p style="text-align: center;">Here is a different approach that we use in a high energy physics data analysis application, in which a dataset can be split up into tasks of variable size. Instead of taking the tasks as they are, we can resize them dynamically in order to achieve a specific resource consumption:</p><p style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6B_NM3MdehdeaGpgHsdwNwRMTPkxc_r5IQlE3SOx4E9Jv0Afmw5W58tCKl1mgQ1hN5vHWocemxr5Fo9iYxXftVqKeMuytq6VuV9lQ7CxdYNQ86fsSWEWAjxt7VXA6o7sNeTyOl6tZXkCAWdRQOOL7C_6mSGmjgnsqlkrpgQGTN_ZBYL2omtWJj5Kj/s960/How%20Many%20Eggs%3F%20HTCondor%20Week%202022-4.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6B_NM3MdehdeaGpgHsdwNwRMTPkxc_r5IQlE3SOx4E9Jv0Afmw5W58tCKl1mgQ1hN5vHWocemxr5Fo9iYxXftVqKeMuytq6VuV9lQ7CxdYNQ86fsSWEWAjxt7VXA6o7sNeTyOl6tZXkCAWdRQOOL7C_6mSGmjgnsqlkrpgQGTN_ZBYL2omtWJj5Kj/s320/How%20Many%20Eggs%3F%20HTCondor%20Week%202022-4.png" width="320" /></a></p><p style="text-align: center;">Ben Tovar, a research software engineer in the CCL, devised a technique for modelling the expected resource consumption of each task, and then dynamically adjusting the task size in order to hit a resource target:</p><p style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhFViydE8UNJaYenLdM6AKF8jCK5E557NWOvEeluCwo56F1HRP71vwcftF22asVIu_ONRHKWM01d4Uu3NIE1vVf0Z_9Tm7MbvaLFjRO_tPjo3nOcmCndFWUM9qITomgpdN4WPzNGYni65UuLBcojTaeTqanoxpQRL16IdXo0GtG5KX58n0fzxYidaK1/s960/How%20Many%20Eggs%3F%20HTCondor%20Week%202022-5.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="540" data-original-width="960" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhFViydE8UNJaYenLdM6AKF8jCK5E557NWOvEeluCwo56F1HRP71vwcftF22asVIu_ONRHKWM01d4Uu3NIE1vVf0Z_9Tm7MbvaLFjRO_tPjo3nOcmCndFWUM9qITomgpdN4WPzNGYni65UuLBcojTaeTqanoxpQRL16IdXo0GtG5KX58n0fzxYidaK1/s320/How%20Many%20Eggs%3F%20HTCondor%20Week%202022-5.png" width="320" /></a></p><p style="text-align: left;">To learn more, read some of our research research papers:</p><p style="text-align: center;"></p><ul><li><span style="background-color: white; font-family: times; font-size: 16px; text-align: start;">Ben Tovar, Ben Lyons, Kelci Mohrman, Barry Sly-Delgado, Kevin Lannon, and Douglas Thain, </span><a href="http://ccl.cse.nd.edu/research/papers/topEFT-IPDPS-2022.pdf" style="color: navy; font-family: times; font-size: 16px; text-align: start;"><b>Dynamic Task Shaping for High Throughput Data Analysis Applications in High Energy Physics</b></a><span style="background-color: white; font-family: times; font-size: 16px; text-align: start;">, </span><i style="font-family: times; font-size: 16px; text-align: start;">IEEE International Parallel and Distributed Processing Symposium</i><span style="background-color: white; font-family: times; font-size: 16px; text-align: start;">, June, 2022.</span></li><li><span style="background-color: white; font-family: times; font-size: 16px; text-align: start;">Thanh Son Phung, Logan Ward, Kyle Chard, and Douglas Thain, </span><a href="http://ccl.cse.nd.edu/research/papers/tasks-works-2021.pdf" style="color: navy; font-family: times; font-size: 16px; text-align: start;"><b>Not All Tasks Are Created Equal: Adaptive Resource Allocation for Heterogeneous Tasks in Dynamic Workflows</b></a><span style="background-color: white; font-family: times; font-size: 16px; text-align: start;">, </span><i style="font-family: times; font-size: 16px; text-align: start;">WORKS Workshop on Workflows at Supercomputing</i><span style="background-color: white; font-family: times; font-size: 16px; text-align: start;">, November, 2021.</span></li></ul><p></p>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-10452745497727985882022-02-07T11:45:00.004-08:002022-02-07T11:46:20.549-08:00IPDPS Paper: Dynamic Task Shaping ... in High Energy Physics<p>In an upcoming paper to be presented at IPDPS 2022, we discuss our experience with designing and executing high throughput data intensive applications for high energy physics. The application itself is pretty cool: <b>TopEFT</b> is a physics application that uses the <b>Coffea</b> framework for parallelization, the <b>Work Queue</b> framework for distributed execution, and XRootD for remote data access:</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEiBMIVIdUAouEiGXuzl0AUt6o2qnfXXJkpAuOrxEA0LiFWwDbescY3mVrAhUwHjar3JlSM5mc3OtOIfWsy7Qbwy0wlW--sK6v-ujsOvg8brSMTxDLt7jgyyIGiQgnokkRnG5AuNWlkec8L8j_AqH1b80CstLaQiHsYagkGE6po1jndULTO29_Zr60TX=s1230" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="353" data-original-width="1230" height="116" src="https://blogger.googleusercontent.com/img/a/AVvXsEiBMIVIdUAouEiGXuzl0AUt6o2qnfXXJkpAuOrxEA0LiFWwDbescY3mVrAhUwHjar3JlSM5mc3OtOIfWsy7Qbwy0wlW--sK6v-ujsOvg8brSMTxDLt7jgyyIGiQgnokkRnG5AuNWlkec8L8j_AqH1b80CstLaQiHsYagkGE6po1jndULTO29_Zr60TX=w400-h116" width="400" /></a></div><br />Configuring such applications to run on large clusters is a substantial end-user problem. It's not enough to write a <b><i>correct</i></b> application: one must also select a wide variety of performance parameters, like the data chunk size, the task length, the amount of memory per task, and so on. When these are chosen well, everything runs smoothly. But even one parameter out of tune can result in the application taking orders of magnitude longer than necessary, wasting thousands of resources resources, or simply not running at all. Here is the end-to-end runtime for a few configurations with slight variations:<p></p><p style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEiJ5STi3McNe8sei5CcXLJbbpZSCoDFiK9Y8GGyzjL1pH5GFvrf5UVW2Wap6ofL1uyTirKc3WBqOTXuLAuJwQWwN4KS36PP-UELeyO9UNPNFP1-3qIaNQZJ_qODGamZEQLkI9sJgRqbEYdW6Q1ajAmUbTLPYuUf4fnlk2M3liFhaRc6P3N7nS47-why=s1242" style="margin-left: 1em; margin-right: 1em; text-align: center;"><img border="0" data-original-height="234" data-original-width="1242" height="76" src="https://blogger.googleusercontent.com/img/a/AVvXsEiJ5STi3McNe8sei5CcXLJbbpZSCoDFiK9Y8GGyzjL1pH5GFvrf5UVW2Wap6ofL1uyTirKc3WBqOTXuLAuJwQWwN4KS36PP-UELeyO9UNPNFP1-3qIaNQZJ_qODGamZEQLkI9sJgRqbEYdW6Q1ajAmUbTLPYuUf4fnlk2M3liFhaRc6P3N7nS47-why=w400-h76" width="400" /></a></p><div>This paper describes the techniques that we have developed to make TopEFT a self-configuration application: dynamic task sizing, resource monitoring, modeling of resource consumption, and more. A particular challenge is that the tasks are not identical, but they do exhibit some rough linearity:</div><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjyE713bTUi8scVD8udDmt4ff4Y3sqWEDNI-j4SVPjzpzsENMwp6eOnylmqVEEUKdMgLNivZ1Mfe4rJufVYstwrghGn2aWr68fn6KneW-gRahyeU08EWBQ4sgwgyARm4Gxc8w86zyQFpaYme6xkAnVSx2N6TJeBZZlN_hx53LwlUd07UBEr6ek0X1cA=s590" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="249" data-original-width="590" height="135" src="https://blogger.googleusercontent.com/img/a/AVvXsEjyE713bTUi8scVD8udDmt4ff4Y3sqWEDNI-j4SVPjzpzsENMwp6eOnylmqVEEUKdMgLNivZ1Mfe4rJufVYstwrghGn2aWr68fn6KneW-gRahyeU08EWBQ4sgwgyARm4Gxc8w86zyQFpaYme6xkAnVSx2N6TJeBZZlN_hx53LwlUd07UBEr6ek0X1cA=w320-h135" width="320" /></a></div><p>With these techniques, we are able to relieve the user of the burden of setting a variety of controls, and allow the system to find its own stable configuration. Check it out:</p><p></p><p></p><ul style="text-align: left;"><li>Ben Tovar, Ben Lyons, Kelci Mohrman, Barry Sly-Delgado, Kevin Lannon, and Douglas Thain, <a href="http://ccl.cse.nd.edu/research/papers/topEFT-IPDPS-2022.pdf">Dynamic Task Shaping for High Throughput Data Analysis Applications in High Energy Physics</a>, IEEE International Parallel and Distributed Processing Symposium, June, 2022. </li></ul><p></p><p><br /></p>Douglas Thainhttp://www.blogger.com/profile/12930374395317667662noreply@blogger.com0tag:blogger.com,1999:blog-5169926515402298799.post-54234716476399456352022-02-07T10:47:00.002-08:002022-02-07T10:47:42.467-08:00Scaling Up Julia: Hidden Filesystem Stress<p style="text-align: justify;"><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: right; margin-left: 1em; text-align: right;"><tbody><tr><td style="text-align: center;"><img height="150" src="https://lh6.googleusercontent.com/3bP5sBA1GjmlCUrXoPzmpxhrj6rbo1Wz7kTziQ8LEbGxYMIb8hM9qfCz3ZhXz-K6O0Mebqo7ApJeqsFLrFa7LXQNQfW56_Noe-4CQT1ATcKapxdv49bBiMiCSSrbKdNa7aXluGVcBk0=w265-h150" style="margin-left: auto; margin-right: auto;" width="265" /></td></tr><tr><td class="tr-caption" style="text-align: center;">HTCondor Cluster View<br /></td></tr></tbody></table><span id="docs-internal-guid-c467c051-7fff-b328-c8f5-4daf6048d830" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em; text-align: start;"></span>In the <a href="http://ccl.cse.nd.edu">CCL</a>, we study the design and implementation of scalable systems and applications that run on very large computing systems. It is not unusual for us to encounter an application that runs well on a few nodes, but causes trouble when running on thousands of nodes. This happened recently with a simulation written in Julia that was using <a href="http://research.cs.wisc.edu/htcondor">HTCondor</a> to run millions of tasks running on several thousands nodes on our <a href="http://condor.cse.nd.edu/condor_matrix.cgi">campus cluster.</a> It ran fine on one node, but when deployed to thousand nodes, this simulation would cause a total meltdown of the shared filesystem, even though its I/O needs were relatively small. What was going on?<br /></p><p style="text-align: right;"></p><p style="text-align: justify;"></p><p style="text-align: justify;">Here is what we found: <br /></p><p style="text-align: justify;">The Julia programming language uses a just-in-time compiler to generate efficient machine code before execution. Julia organizes code in modules, and user applications in projects, where a project is a list of modules. By default, the compilation step is performed <b>every single time</b> an application is executed and considers all the modules listed in the given project. If an end user sets up an application in the normal way, the result is that the code will be compiled simultaneously on all nodes of the system!<br /></p><p></p><div style="text-align: justify;">Internally, Julia checks the project's list of modules, checks for files with a modification time more recent than the machine code already available, and if needed, generates new machine code. As usual, the modifications times are done using the stat() system call. To give some perspective, the simulation used a dozen standard Julia modules, resulting in <b>12,000 stat() calls</b> even when <b>no recompilation was needed</b>. But the number of open() calls to needed files was less than <b>10</b>. In particular, the file that listed the modules in the project (Project.toml) had close to <b>2,000 stat()</b> calls, but only <b>one open()</b> call. For comparison, the number of calls to open() and stat() for data files particular to the application was less than 5.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">When executed in a single machine on a local file system, even a few thousand system calls may unnoticed by the user. However, they become a big problem when trying to run at scale in a cluster where all nodes share a common networked filesystem. If one thousand nodes start at once, the shared filesystem must field <b>twelve million stat()</b> operations just to determine that nothing has changed. Thus, the scale at which the simulation can run will be limited by factors hidden to the end user, that is, not by the cores, memory, or disk available, but by these file system operations that become expensive when moving from a local to a shared setting.</div><p></p><p></p><div style="text-align: justify;">Once the problem is understood, the workaround is to pre-compile a binary image with the needed modules that then is shipped together with each task. This reduced the number of stat() calls from the original <b>12,000</b> to about <b>200</b> per invocation. This is image is shipped compressed with each job, to reduce its size from 250MB to 50MB, and decompressed just before the task start execution. Generating the binary image takes about 5 minutes, prior to job submission.</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">The user application made the generation of the binary image much easier because all the dependencies were listed in a single file. As an example, consider this file that simply lists some modules:</div><div style="text-align: justify;"><br /></div><span style="font-family: courier;"></span><p></p><blockquote><div style="text-align: justify;"># my_modules.jl</div><div style="text-align: justify;">using Pkg</div><div style="text-align: justify;">using Random</div><div style="text-align: justify;">using Distributions</div><div style="text-align: justify;">using DataFrames</div><div style="text-align: justify;">using DataStructures</div><div style="text-align: justify;">using StatsBase</div><div style="text-align: justify;">using LinearAlgebra</div></blockquote><div style="text-align: justify;">If we count the number system calls that involve filenames, we get:</div><div style="text-align: justify;"><br /></div><p></p><p style="text-align: left;"></p><div style="text-align: justify;"><span style="font-family: courier;">$ strace -f -e trace=%%file julia my_modules.jl |& grep -E '(stat|open)'| wc -l</span></div><span style="font-family: courier;"><div style="text-align: justify;">5106</div></span><p></p><p></p><div style="text-align: justify;"><br /></div><div style="text-align: justify;">These calls will be repeated everytime the program runs. Using the module PackageCompiler we can generate a Julia system image as follows:</div><div style="text-align: justify;"><br /></div><p></p><p style="text-align: justify;"><span style="font-family: courier;"># comp.jl</span></p><p style="text-align: left;"></p><div style="text-align: justify;"><span style="font-family: courier;"># run as: julia comp.jl</span></div><span style="font-family: courier;"><div style="text-align: justify;">loaded_by_julia = filter((x) -> typeof(eval(x)) <: Module && x ≠ :Main, names(Main,imported=true));</div></span><p></p><p style="text-align: left;"></p><div style="text-align: justify;"><span style="font-family: courier;">include("my_modules.jl")</span></div><span style="font-family: courier;"><div style="text-align: justify;"><br /></div><div style="text-align: justify;">loaded_all = filter((x) -> typeof(eval(x)) <: Module && x ≠ :Main, names(Main,imported=true));</div><div style="text-align: justify;">loaded_by_ch = setdiff(loaded_all, loaded_by_julia);</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">println("Creating system image with:");</div><div style="text-align: justify;">println(loaded_by_ch);</div><div style="text-align: justify;"><br /></div><div style="text-align: justify;">using PackageCompiler;</div><div style="text-align: justify;">create_sysimage(loaded_by_ch; sysimage_path="sysimage.so", cpu_target="generic")</div></span><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Using the image, the number of file releated calls, and there the stress on the</div><div style="text-align: justify;">share file system, are greatly reduced:</div><div style="text-align: justify;"><br /></div><p></p><blockquote style="text-align: left;"><div style="text-align: justify;"><span style="font-family: courier;">$ strace -f -e trace=%file julia -Jsysimage my_modules.jl |& grep -E '(stat|open)' | wc -l</span></div><span style="font-family: courier;"><div style="text-align: justify;">353</div></span></blockquote><p></p><div style="text-align: justify;"><br /></div><div style="text-align: justify;">Also, as expected, the overhead per run also decreases, as the runtime decreases from about 10s to about 0.5s, which is significant for short running tasks.</div><p></p><p style="text-align: justify;">So what's the moral of the story?</p><p style="text-align: justify;">1 - When moving from a single node to a distributed system, operations that were previously cheap may become more expensive. You can't fix what you can't measure, so use tools like strace to understand the system-call impact of your application.<br /></p><p style="text-align: justify;">2 - Avoid exponential behavior, even when individual costs are cheap. Every Julia import results in checking the freshness of that module, and then all of its dependencies recursively, and so leaf modules get visited over and over again. The Julia compiler needs to memoize those visits!</p><p style="text-align: justify;"><br /></p><p></p>Benjamin Tovarhttp://www.blogger.com/profile/16932087378597993760noreply@blogger.com0