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DTSTAMP:20211207T055403Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20211116T083000
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UID:submissions.supercomputing.org_SC21_sess278_rpost167@linklings.com
SUMMARY:Towards an Efficient Parallel Skeleton for Generic Iterative Stenc
 il Computations in Distributed GPUs
DESCRIPTION:Posters, Research Posters\n\nTowards an Efficient Parallel Ske
 leton for Generic Iterative Stencil Computations in Distributed GPUs\n\nde
  Castro, Santamaria-Valenzuela, Miguel-López, Torres, Gonzalez-Escri
 bano\n\nIterative stencil applications present a high degree of parallelis
 m. The approach is appropriate for modern many-core systems, like GPUs. Th
 e huge arrays needed in many real problems, however, require multiple-GPUs
  memory. Manually programming multi-GPU solutions is complex, involving sy
 nchronization, communication and optimization problems. Previous specific 
 frameworks for multi-GPU stencils present limitations on stencil types and
  target devices. Another approach is to build efficient solutions using mo
 dern portable heterogeneous programming models. We present a high-producti
 vity parallel programming skeleton implemented as a C library function. It
  can derive the communication structure and kernel details from an abstrac
 t specification of the stencil pattern, splitting the computation to bette
 r overlap it with communications. Preliminary experimental results show a 
 good scalability in a cluster with up to 16 GPUs. It also outperforms a st
 ate-of-the-art solution based on Celerity/SYCL. The presentation will incl
 ude a short demo video using the artifact, and both on-site and on-line di
 scussion.\n\nRegistration Category: Tech Program Reg Pass, Exhibit Hall On
 ly
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