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Comparing latency-tolerance techniques for software DSM systems

机译:比较软件DSM系统的延迟容忍技术

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We study the isolated and combined effects of several latency-tolerance techniques for software-based distributed shared-memory systems (software DSMs). More specifically, we focus on data prefetching, update-based coherence, and single-writer optimizations for page-based software DSMs. Our experimental results with six parallel applications show that, when these techniques are carefully combined, they can provide running time and speedup improvements of up to 54 percent and 110 percent, respectively, on a cluster of eight PCs.
机译:我们研究了基于软件的分布式共享内存系统(软件DSM)的几种延迟容忍技术的隔离和组合效果。更具体地说,我们专注于基于页面的软件DSM的数据预取,基于更新的一致性和单编写器优化。我们在六个并行应用程序上的实验结果表明,将这些技术仔细组合后,它们可以在八台PC的群集上分别提供高达54%和110%的运行时间和加速改进。

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