Students at the University of Arizona made use of Makeflow and Work Queue to build an image processing pipeline on the Chameleon cloud testbed at TACC.
The course project was to build an image processing pipeline to accelerate the research of astronomer Jared Males, who designs instruments to search for exo-planets by observing the changes in appearance of a star. This results in hundreds of thousands of images of a single star, which must then be processed in batch to eliminate noise and align the images.
The students built a solution (Find-R) which consumed over 100K CPU-hours on Chameleon, distributed using Makeflow and Work Queue.
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