还原(数学)
并行计算
编译程序
加速
计算机科学
整数(计算机科学)
实施
图形处理单元的通用计算
操作系统
数学
程序设计语言
绘图
几何学
作者
Zheming Jin,Jeffrey S. Vetter
标识
DOI:10.1109/ipdpsw55747.2022.00088
摘要
Sum reduction is a primitive operation in parallel computing. Device offload support allows a user to use OpenMP directives to take advantage of a highly capable GPU. In this paper, we present the integer sum reduction annotated with the OpenMP directives and evaluate the performance impacts of tunable parameters with the AOMP and GCC compilers on an AMD MI100 GPU. In addition, we explain the implementations of the OpenMP reduction by the compilers. Sweeping over the pruned parameter space, we find that the speedup is approximately 20 with AOMP, and the reduction performance using AOMP is approximately 11% higher than that using GCC. However, the OpenMP offload performance is approximately 30% lower compared to the performance of the reductions written with rocThrust or hipCUB.
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