A Software-Hardware Co-designed Methodology for Efficient Thread Level Speculation

Qiong Wang, Jialong Wang, Li Shen, Zhiying Wang
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引用次数: 3

Abstract

Thread-Level Speculation (TLS) mechanism has been extensively studied due to its capability of simplifying parallel programming and achieving effective performance speedup. In this paper, we investigate the study of improving current TLS models for high efficiency on present multi-core architectures. Particularly, we propose a new TLS model called Cache Copy-on-Write (CCoW). The main features of our CCoW model include: 1) software/hardware co-designed implementation of TLS; 2) more efficient sharing management of speculative variables among speculative threads to resolve loop-carried dependence; 3) a novel speculative variable storage mechanism to enhance efficiency and effectiveness of the speculative execution. A prototype for our Cache-COW is built on SESC simulator and experimental results indicate that the proposed CCoW accelerates typical benchmarks by an average of 5.69x and 10.04x using 8 and 16 speculative threads respectively.
一种高效线程级推测的软硬件协同设计方法
线程级推测(TLS)机制由于能够简化并行编程并实现有效的性能加速而得到了广泛的研究。在本文中,我们研究了如何改进现有的TLS模型,使其在现有的多核架构下具有更高的效率。特别地,我们提出了一种新的TLS模型,称为缓存写时复制(CCoW)。cco模型的主要特点包括:1)软硬件协同设计的TLS实现;2)在投机线程之间更有效地共享投机变量管理,以解决循环依赖;3)新颖的投机变量存储机制,提高投机执行的效率和有效性。在SESC模拟器上构建了我们的Cache-COW原型,实验结果表明,使用8个和16个推测线程时,所提出的cco分别平均加速了5.69倍和10.04倍的典型基准测试。
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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