定位面向对象数据结构中的并行化潜力

Korbinian Molitorisz, Thomas Karcher, Alexander Biele, W. Tichy
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引用次数: 2

摘要

不断提高单处理器性能的免费午餐已经结束了。软件工程师必须并行化软件以获得性能改进。但是并不是每个软件工程师都是并行专家,并且由于数百万行代码还没有考虑到多核,我们必须找到方法来帮助识别并行化的潜力。本文做出了三个贡献:1)对超过900,000行代码的实证研究揭示了在运行时配置文件中具有并行化潜力的面向对象数据结构的五个用例。2)该研究还指出了在现实软件中经常使用的数据结构,这些用例可以在其中找到。3)我们开发了DSspy,这是一个自动动态分析器,可以定位这些用例并就如何并行化它们提出建议。我们的评估表明,DSspy将并行化的搜索空间减少了77%,工程师只需要考虑23%的数据结构实例进行并行化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Locating Parallelization Potential in Object-Oriented Data Structures
The free lunch of ever increasing single-processor performance is over. Software engineers have to parallelize software to gain performance improvements. But not every software engineer is a parallel expert and with millions of lines of code that have not been developed with multicore in mind, we have to find ways to assist in identifying parallelization potential. This paper makes three contributions: 1) An empirical study of more than 900,000 lines of code reveals five use cases in the runtime profile of object-oriented data structures that carry parallelization potential. 2) The study also points out frequently used data structures in realistic software in which these use cases can be found. 3) We developed DSspy, an automatic dynamic profiler that locates these use cases and makes recommendations on how to parallelize them. Our evaluation shows that DSspy reduces the search space for parallelization by up to 77% and engineers only need to consider 23% of all data structure instances for parallelization.
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