Seemless Utilization of Heterogeneous XSede Resources to Accelerate Processing of a High Value Functional Neuroimaging Dataset

We describe the technical effort used to process a voluminous high value human neuroimaging dataset on the Open Science Grid with opportunistic use of idle HPC resources to boost computing capacity more than 5-fold. With minimal software development effort and no discernable competitive interference with other HPC users, this effort delivered 15,000,000 core hours over 7 months.
Comment: 8 pages, 10 figures, supplementary materials. Proceedings of the 2018 PEARC Conference, Practice & Experience in Advanced Research Computing, Pittsburgh, PA, July, 2018. arXiv admin note: substantial text overlap with arXiv:1710.05246. author note: The overlap with arXiv:1710.05246 is primarily in "background" material which includes a description of the solver and sample scientific findings