Evaluating ISO C++ Parallel Algorithms on Heterogeneous HPC Systems

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Abstract

Recent revisions to the ISO C++ standard have added specifications for parallel algorithms. These additions cover common use-cases, including sequence traversal, reduction, and even sorting, many of which are highly applicable in HPC, and thus represent a potential for increased performance and productivity.

This study evaluates the state of the art for implementing heterogeneous HPC applications using the latest built-in ISO C++17 parallel algorithms. We implement C++17 ports of representative HPC mini-apps that cover both compute-bound and memory bandwidth-bound applications. We then conduct benchmarks on CPUs and GPUs, comparing our ports to other widely-available parallel programming models, such as OpenMP, CUDA, and SYCL.

Finally, we show that C++17 parallel algorithms are able to achieve competitive performance across multiple mini-apps on many platforms, with some notable exceptions. We also discuss several key topics, including portability, and describe workarounds for a number of remaining issues, including index-based traversal and accelerator device/memory management.
Original languageEnglish
Title of host publication 2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages36-47
Number of pages12
ISBN (Electronic)978-1-6654-5185-7
ISBN (Print)978-1-6654-5186-4
DOIs
Publication statusPublished - 30 Jan 2023
Event2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS) - Dallas, United States
Duration: 14 Dec 2022 → …
https://www.dcs.warwick.ac.uk/pmbs/pmbs/PMBS/Welcome.html

Conference

Conference2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS)
Abbreviated titlePMBS22
Country/TerritoryUnited States
CityDallas
Period14/12/22 → …
Internet address

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work makes use of the following services: Isambard UK National Tier-2 HPC Service (https://gw4.ac.uk/isambard) operated by GW4 and the UK Met Office, funded by EPSRC (EP/P020224/1); HPC Zoo, a research cluster managed by the HPC Group at the University of Bristol (https://uob-hpc.github.io/zoo); Intel DevCloud, an online cluster for developers (https://devcloud.intel.com);EC2 Graviton instances, with access supported by AWS.

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Performance Portability
  • Programming Models
  • GPUs
  • C++17
  • PSTL
  • stdpar

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