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Ten teams successfully ported High Performance Computing (HPC) applications to a new Arm GPU testbed. The study confirms the Arm-based system

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Area of Science:

  • High Performance Computing (HPC)
  • GPU acceleration
  • Arm architecture

Background:

  • Novel GPU-accelerated Arm testbed systems are emerging for HPC.
  • Evaluating these systems requires porting, validation, and benchmarking of scientific applications.

Purpose of the Study:

  • Assess the readiness of Arm-based GPU systems for HPC.
  • Evaluate the developer effort for deploying scientific workloads on these platforms.

Main Methods:

  • Ten teams ported, validated, and benchmarked HPC applications.
  • Applications used various programming languages and GPU models (CUDA, OpenACC, OpenMP offloading).
  • Tested on an eight-system NVIDIA Arm HPC Developer Kit testbed with Ampere CPUs and NVIDIA GPUs, connected via InfiniBand.

Main Results:

  • The Arm-based GPU testbed demonstrated readiness for HPC workloads.
  • Software and tools are sufficiently mature for large-scale production deployments.
  • Case studies confirmed the viability of the Arm ecosystem for scientific computing.

Conclusions:

  • Arm-based GPU-accelerated HPC systems are viable for production.
  • The current software and toolchain maturity supports widespread adoption.
  • Future HPC systems based on Arm architecture are promising.