用于数值应用的自动循环嵌套并行化器

M. Pałkowski, T. Klimek, W. Bielecki
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引用次数: 9

摘要

我们提出了源到源的TRACO编译器,允许在数值应用中增加程序的局部性和并行化任意嵌套循环序列。提出了生成平铺代码和提取由平铺组成的无同步切片的算法。任意嵌套循环的并行性是通过创建一个在OpenMP标准中表示的计算内核来获得的,该内核可以在许多cpu上独立执行。我们考虑基准,典型的计算密集型代数运算序列或工业和工程中的数值计算。讨论了TRACO生成程序的加速问题。考虑了相关的编译器和技术。概述了今后的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TRACO: An automatic loop nest parallelizer for numerical applications
We present the source-to-source TRACO compiler allowing for increasing program locality and parallelizing arbitrarily nested loop sequences in numerical applications. Algorithms for generation of tiled code and extracting synchronization-free slices composed of tiles are presented. Parallelism of arbitrary nested loops is obtained by creating a kernel of computations represented in the OpenMP standard to be executed independently on many CPUs. We consider benchmarks, typical from compute-intensive sequences of algebra operations or numerical computation from industry and engineering. The speed-up of programs generated by TRACO are discussed. Related compilers and techniques are considered. Future work is outlined.
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