多线程自动记忆处理器的一种设想技术

Y. Kamiya, Tomoaki Tsumura, H. Matsuo, Y. Nakashima
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引用次数: 3

摘要

我们提出了一个自动记忆处理器。该处理器自动动态地存储函数和循环迭代,并通过重用它们的结果跳过它们的执行。另一方面,多核/多核处理器得到了广泛的应用。核心数量预计将增加到100个或更多。然而,许多程序并没有这么多并行性。因此,如何有效地利用多核就显得尤为重要。本文介绍了一种基于推测多线程的自动记忆处理器加速技术。两个推测线程将在重用测试中分叉。其一假设重用测试将成功,并推测地执行重用目标块的以下代码。另一个假设重用测试将失败,并执行重用目标块。这两个线程隐藏了自动记忆处理器的开销。在SPEC CPU95套件基准测试上的实验结果表明,该方法将最大加速从13.9%提高到36.0%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Speculative Technique for Auto-Memoization Processor with Multithreading
We have proposed an auto-memoization processor. This processor automatically and dynamically memoizes both functions and loop iterations, and skips their execution by reusing their results. On the other hand, multi/many-core processors have come into wide use. The number of cores is expected to increase to a hundred or more. However, many programs do not have so much parallelism in them. Therefore it becomes very important to consider how to utilize many cores effectively. This paper describes a speedup technique for auto-memoization processor using speculative multi-threading. Two speculative threads will be forked on reuse test. The one assumes that the reuse test will succeed, and executes the following codes of the reuse target block speculatively. The other assumes that the reuse test will fail, and executes the reuse target block. These two threads conceal the overhead of auto-memoization processor. The result of the experiment with SPEC CPU95 suite benchmarks shows that proposing method improves the maximum speedup from 13.9% to 36.0%.
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