Automatic Computer System Characterization for a Parallelizing Compiler

A. Sussman, N. Lo, T. Anderson
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引用次数: 4

Abstract

Effectively utilizing the compute power of modern multi-core machines is a challenging task for a programmer. Automated extraction of shared memory parallelism via powerful compiler transformations and optimizations is one means to such a goal. However, the effectiveness of such transformations is tied to detailed characteristics of the target computer system. In this paper, we describe an automated system for capturing such computer system characteristics that is based on prior work on various parts of the overall problem. The system characteristics measured include the number of available compute elements available to run threads, multiple memory hierarchy parameters, and functional unit latencies and bandwidths. We show experimental results on a wide range of compute platforms that validate the effectiveness of the overall approach.
并行编译器的自动计算机系统特性
有效地利用现代多核机器的计算能力对程序员来说是一项具有挑战性的任务。通过强大的编译器转换和优化自动提取共享内存并行性是实现这一目标的一种手段。然而,这种转换的有效性与目标计算机系统的详细特性有关。在本文中,我们描述了一个自动化系统,用于捕获基于对整体问题的各个部分的先前工作的计算机系统特征。测量的系统特征包括可用于运行线程的可用计算元素的数量、多个内存层次结构参数以及功能单元延迟和带宽。我们展示了在各种计算平台上的实验结果,验证了整体方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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