SYCL-Bench 2020:在 AMD、Intel 和 NVIDIA GPU 上对 SYCL 2020 进行基准测试

Luigi Crisci, Lorenzo Carpentieri, Peter Thoman, Aksel Alpay, Vincent Heuveline, Biagio Cosenza
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引用次数: 0

摘要

如今,SYCL 标准代表了异构计算最先进的编程模型,在纯 C++17 中提供了生产率、可移植性和性能。由于新功能是由现有编译器实现的,因此通过准确而具体的基准测试来评估实现的成熟度变得至关重要。本文介绍了 SYCL-Bench 2020,这是一个扩展的基准测试套件,专门用于评估 SYCL 2020 的六个关键特性:统一共享内存、还原内核、特殊化常量、分组算法、无序队列和原子。我们在三大厂商(即 AMD、Intel 和 NVIDIA)的 GPU 以及两种不同的 SYCL 实现 AdaptiveCPP 和 oneAPI DPC++ 上对 SYCL-Bench 2020 进行了实验性评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SYCL-Bench 2020: Benchmarking SYCL 2020 on AMD, Intel, and NVIDIA GPUs
Today, the SYCL standard represents the most advanced programming model for heterogeneous computing, delivering both productivity, portability, and performance in pure C++17. SYCL 2020, in particular, represents a major enhancement that pushes the boundaries of heterogeneous programming by introducing a number of new features. As the new features are implemented by existing compilers, it becomes critical to assess the maturity of the implementation through accurate and specific benchmarking. This paper presents SYCL-Bench 2020, an extended benchmark suite specifically designed to evaluate six key features of SYCL 2020: unified shared memory, reduction kernel, specialization constants, group algorithms, in-order queue, and atomics. We experimentally evaluate SYCL-Bench 2020 on GPUs from the three major vendors, i.e., AMD, Intel, and NVIDIA, and on two different SYCL implementations AdaptiveCPP and oneAPI DPC++.
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