Evaluating ISO C plus plus Parallel Algorithms on Heterogeneous HPC Systems

2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS)(2022)

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摘要
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 indexbased traversal and accelerator device/memory management.
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关键词
Performance Portability,Programming Models,GPUs C++17,PSTL,stdpar
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