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Anurag Verma
University of Pennsylvania
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SCHOLARLY PAPERS
1
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26
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Scholarly Papers (1)
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1.
Accelerating Genome- and Phenome-Wide Association Studies Using GPUs – A Case Study Using Data from the Million Veteran Program
Number of pages: 27
Posted: 29 Aug 2024
Alexis Rodriguez
,
Youngdae Kim
,
Tarak Nath Nandi
,
Karl Keat
,
Rachit Kumar
,
Rohan Bhukar
,
Mitchell Conery
,
Molei Liu
,
John Hessington
,
Ketan Maheshwari
,
Drew Schmidt
,
VA Million Veteran Program
,
Edmon Begoli
,
Georgia Tourassi
,
Sumitra Muralidhar
,
Pradeep Natarajan
,
Benjamin F. Voight
,
Kelly Cho
,
J. Michael Gaziano
,
Scott M. Damrauer
,
Katherine P. Liao
,
Wei Zhou
,
Sneak Peek Administrator
,
Jennifer E. Huffman
, Anurag Verma and
Ravi K. Madduri
Government of the United States of America - Argonne National Laboratory, Government of the United States of America - Argonne National Laboratory, Government of the United States of America - Argonne National Laboratory, University of Pennsylvania, University of Pennsylvania, Harvard University - Massachusetts General Hospital, University of Pennsylvania, Columbia University, University of Pennsylvania, Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Oak Ridge National Laboratory,
affiliation not provided to SSRN
, Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Office of Research and Development, Massachusetts Institute of Technology and Harvard University - Broad Institute, University of Pennsylvania, Government of the United States of America - Population Health and Data Science, Government of the United States of America - Office of Research and Development, University of Pennsylvania, Government of the United States of America - VA Boston Healthcare System, Massachusetts Institute of Technology and Harvard University - Stanley Center for Psychiatric Research, Independent, Government of the United States of America - VA Boston Healthcare System, University of Pennsylvania and Government of the United States of America - Argonne National Laboratory
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Abstract:
GWAS, SAIGE, GPU optimizations, DOE, VA, MVP
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