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Anurag Verma

University of Pennsylvania

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Scholarly Papers (1)

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
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:

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GWAS, SAIGE, GPU optimizations, DOE, VA, MVP