A quantitative assessment of thread-level speculation techniques
A quantitative assessment of thread-level speculation techniques
复制标题
线程级推测技术的定量评估
DOI：
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
Antonio González
中科院分区：
文献类型：
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作者：
P. Marcuello;Antonio González
最近提出了推测线程级并行作为并行的替代源，可以提高难以找到独立线程的应用程序的性能。 Several schemes to exploit thread level parallelism have been proposed and significant performance gains have been reported.然而，人们对性能提升的来源以及某些设计选择的影响知之甚少。在这项工作中，分析了不同线程推测技术的优点，以及一些关键问题的影响，包括值预测器、分支预测器、线程初始化开销和线程单元之间的连接性。
Speculative thread-level parallelism has been recently proposed as an alternative source of parallelism that can boost the performance for applications where independent threads are hard to find. Several schemes to exploit thread level parallelism have been proposed and significant performance gains have been reported. However, the sources of the performance gains are poorly understood as well as the impact of some design choices. In this work, the advantages of different thread speculation techniques are analyzed as are the impact of some critical issues including the value predictor, the branch predictor, the thread initialization overhead and the connectivity among thread units.