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DTSTART;TZID=America/Denver:20231115T153000
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UID:submissions.supercomputing.org_SC23_sess253_exforum113@linklings.com
SUMMARY:Large Scale Accelerated Rendering on 10K Ray Tracing Enabled Nodes
DESCRIPTION:Roba Binyahib and David DeMarle (Intel Corporation)\n\nIn this
  talk, Intel will describe how oneAPI Rendering Toolkit (RenderKit) was en
 hanced for multi-architecture multi-platform large scale workloads. We wil
 l showcase some of our work that was deployed onto Argonne’s Aurora Superc
 omputer, one of the first exascale machines on the planet and the challeng
 es that we met along the way. The high-performance capabilities of the mac
 hine's 20000 Saphire Rapids HBM CPUs and 60000 Intel Data Center Max (aka 
 PonteVecchio) GPUs, including accelerated ray tracing hardware in the GPUs
 , are exercised through RenderKit’s use of Intel's OneAPI Data Parallel C+
 + Sycl Implementation. \n\nThis talk will also introduce the newly updated
  architecture of OSPRay, the Open, Scalable, and Portable Ray Tracing Engi
 ne. It will highlight OSPRAY’s multi-GPU capabilities on workloads includi
 ng Surface and Volume Rendering of LANL’s Deepwater Impact Asteroid data a
 nd Argonne’s Stellar Radiation data sets which were performance tuned in c
 ollaboration with Argonne. This will include OSPRay’s performance within r
 esources like Kitware’s ParaView and LLNL’s VisIt.  \n\nFurthermore, we wi
 ll share our approach to solving problems with large scale rendering and f
 uture performance opportunities we will continue to push for. We will also
  discuss our efforts with rendering at scale has enabled emerging industry
  segments like Digital Twins on HPC infrastructure.\n\nTag: Artificial Int
 elligence/Machine Learning, Fault Handling and Tolerance, Large Scale Syst
 ems, Programming Frameworks and System Software\n\nRegistration Category: 
 Tech Program Reg Pass, Exhibits Reg Pass\n\nSession Chair: Nathan Hanford 
 (Lawrence Livermore National Laboratory (LLNL))\n\n
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