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

Don Krieger; Paul Shepard; Ben Zusman; Anirban Jana; David O. Okonkwo

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

Neurons and Cognition 2018-05-21 v3

Authors: Don Krieger , Paul Shepard , Ben Zusman , Anirban Jana , David O. Okonkwo

Abstract

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.

Keywords

neuroimaging open science grid hpc resources xsede core hours data processing

Cite

@article{arxiv.1805.00786,
  title  = {Seemless Utilization of Heterogeneous XSede Resources to Accelerate Processing of a High Value Functional Neuroimaging Dataset},
  author = {Don Krieger and Paul Shepard and Ben Zusman and Anirban Jana and David O. Okonkwo},
  journal= {arXiv preprint arXiv:1805.00786},
  year   = {2018}
}

Comments

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

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

Abstract

Keywords

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