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DTSTART;TZID=America/Denver:20231112T093000
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UID:submissions.supercomputing.org_SC23_sess426_ws_llvmf102@linklings.com
SUMMARY:DPU Offloading Programming with the OpenMP API
DESCRIPTION:Muhammad Usman, Sergio Iserte, Roger Ferrer, and Antonio J. Pe
 ña (Barcelona Supercomputing Center (BSC))\n\nDPUs as network co-processor
 s are an emerging trend in our community. These have been generally used a
 s domain-specific accelerators transparent to application developers; In t
 he HPC field, DPUs have been used as MPI accelerators, but also to offload
  some tasks from the general-purpose processor. However, the latter requir
 ed application developers to deploy MPI ranks in the DPUs, as if they were
  remote (weak) compute nodes, hence considerably hindering programmability
 . The wide adoption of OpenMP as the threading model in the HPC arena, alo
 ng with that of GPU accelerators, is making OpenMP offloading to GPUs a wi
 de trend for HPC applications. In this paper we introduce, for the first t
 ime in the literature, OpenMP offloading support for network co-processor 
 DPUs. We present our design in LLVM to support OpenMP standard offloading 
 semantics and discuss the programming productivity advantages with respect
  to the existing MPI-based programming model.\n\nTag: Compilers, Heterogen
 eous Computing, Performance Optimization\n\nRegistration Category: Worksho
 p Reg Pass\n\nSession Chairs: James Brodman (AMD); Ryan Kabrick (Tactical 
 Computing Laboratories LLC, University of Delaware); Patrick S. McCormick 
 (Los Alamos National Laboratory (LANL)); and Alexis Perry-Holby (Los Alamo
 s National Laboratory (LANL))\n\n
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