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Large Scale Accelerated Rendering on 10K Ray Tracing Enabled Nodes
SessionExhibitor Forum: Software
DescriptionIn this talk, Intel will describe how oneAPI Rendering Toolkit (RenderKit) was enhanced for multi-architecture multi-platform large scale workloads. We will showcase some of our work that was deployed onto Argonne’s Aurora Supercomputer, one of the first exascale machines on the planet and the challenges that we met along the way. The high-performance capabilities of the machine'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.
This talk will also introduce the newly updated architecture of OSPRay, the Open, Scalable, and Portable Ray Tracing Engine. It will highlight OSPRAY’s multi-GPU capabilities on workloads including Surface and Volume Rendering of LANL’s Deepwater Impact Asteroid data and Argonne’s Stellar Radiation data sets which were performance tuned in collaboration with Argonne. This will include OSPRay’s performance within resources like Kitware’s ParaView and LLNL’s VisIt.
Furthermore, we will share our approach to solving problems with large scale rendering and future 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.
This talk will also introduce the newly updated architecture of OSPRay, the Open, Scalable, and Portable Ray Tracing Engine. It will highlight OSPRAY’s multi-GPU capabilities on workloads including Surface and Volume Rendering of LANL’s Deepwater Impact Asteroid data and Argonne’s Stellar Radiation data sets which were performance tuned in collaboration with Argonne. This will include OSPRay’s performance within resources like Kitware’s ParaView and LLNL’s VisIt.
Furthermore, we will share our approach to solving problems with large scale rendering and future 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.
Event Type
Exhibitor Forum
TimeWednesday, 15 November 20233:30pm - 4pm MST
Location503-504
Artificial Intelligence/Machine Learning
Fault Handling and Tolerance
Large Scale Systems
Programming Frameworks and System Software
TP
XO/EX