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UID:submissions.supercomputing.org_SC25_sess533_post213@linklings.com
SUMMARY:A Kokkos-Based Proxy of the Exascale Metagenome Assembler MetaHipM
 er2: A First Use of Kokkos for Computational Biology
DESCRIPTION:Logan Williams, Gavin Conant, and Michela Becchi (North Caroli
 na State University) and Jan Ciesko and Amy Powell (Sandia National Labora
 tories)\n\nInexpensive DNA sequencing [1] has opened new windows into biol
 ogical complexity. These include metagenomics: the ability to catalog a mi
 crobial ecosystem by extracting and sequencing DNA directly from an enviro
 nment. Analyzing metagenomic-scale datasets often requires exascale comput
 ing. Such computing platforms are heterogeneous, encompassing CPUs, GPUs, 
 FPGAs or other co-processors. This heterogeneity presents complications fo
 r software design. The programming models can require code rewrites when h
 ardware changes. Moreover, achieving adequate performance requires underst
 anding the interaction between hardware and programming models. Computatio
 nal biology codes suffer particularly from these problems because they are
  poorly studied [2] [3]. Here we describe a proxy application based on a m
 etagenome assembler which allows both machine profiling and studying co-pr
 ocessor behavior for biology codes.\n\nTag: Research & ACM SRC Posters\n\n
 Registration Category: Technical Program Reg Pass\n\nSession Chairs: Kento
  Sato (RIKEN Center for Computational Science (R-CCS)); Chris Schlipalius 
 (Pawsey Supercomputing Research Centre; Commonwealth Scientific and Indust
 rial Research Organisation (CSIRO), Australia); and Anja Gerbes (Georg-Aug
 ust-Universität Göttingen)\n\n
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