• Ready for Exascale - Bringing Science Into the Future

  • 2024/05/30
  • 再生時間： 24 分
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Ready for Exascale - Bringing Science Into the Future

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  • Scott Parker joins Tony to discuss the progress getting applications running on Aurora Supercomputer nodes. From 2022 where the project started to today, significant progress has been made using a variety of programming models. Kokkos, OpenMP and oneAPI have enabled migration of scientific and AI applications to run on the Intel CPUs and GPUs Aurora is built on.

    Guest:

    Scott Parker is the Lead for Performance Tools and Programming Models at the ALCF. He received his B.S. in Mechanical Engineering from Lehigh University, and a Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign. Prior to joining Argonne, he worked at the National Center for Supercomputing Applications, where he focused on high-performance computing and scientific applications. At Argonne since 2008, he works on performance tools, performance optimization, and spectral element computational fluid dynamics solvers.

    Scott Parker

    Resources:

    Aurora Super Computer - https://www.alcf.anl.gov/aurora

    Intel Data Center Max GPU - https://www.intel.com/content/www/us/en/products/details/discrete-gpus/data-center-gpu/max-series.html

    Intel Xeon Processors - https://www.intel.com/content/www/us/en/products/details/processors/xeon.html

    Intel oneAPI Base Toolkit - https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html
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あらすじ・解説

Scott Parker joins Tony to discuss the progress getting applications running on Aurora Supercomputer nodes. From 2022 where the project started to today, significant progress has been made using a variety of programming models. Kokkos, OpenMP and oneAPI have enabled migration of scientific and AI applications to run on the Intel CPUs and GPUs Aurora is built on.

Guest:

Scott Parker is the Lead for Performance Tools and Programming Models at the ALCF. He received his B.S. in Mechanical Engineering from Lehigh University, and a Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign. Prior to joining Argonne, he worked at the National Center for Supercomputing Applications, where he focused on high-performance computing and scientific applications. At Argonne since 2008, he works on performance tools, performance optimization, and spectral element computational fluid dynamics solvers.

Scott Parker

Resources:

Aurora Super Computer - https://www.alcf.anl.gov/aurora

Intel Data Center Max GPU - https://www.intel.com/content/www/us/en/products/details/discrete-gpus/data-center-gpu/max-series.html

Intel Xeon Processors - https://www.intel.com/content/www/us/en/products/details/processors/xeon.html

Intel oneAPI Base Toolkit - https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html
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