探索面向大线程吞吐量处理器的内存一致性

Blake A. Hechtman, Daniel J. Sorin
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引用次数: 42

摘要

我们在大线程面向吞吐量的处理器(MTTOPs)的新环境中重新讨论硬件一致性模型的问题。MTTOP的一个突出例子是GPGPU,但其他例子包括英特尔的MIC架构和一些最近的学术设计。mtops在许多重要方面与cpu不同,包括它们容忍延迟的能力、它们的内存系统组织以及它们运行的软件的特征。我们从性能、能效、硬件复杂性和可编程性方面比较了mtops的各种硬件一致性模型的实现。我们的结果表明,硬件一致性模型的选择对性能的影响非常小,因此决策应该基于硬件复杂性、能源效率和可编程性。对于许多mtops来说,即使是简单的顺序一致性实现也可能具有吸引力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring memory consistency for massively-threaded throughput-oriented processors
We re-visit the issue of hardware consistency models in the new context of massively-threaded throughput-oriented processors (MTTOPs). A prominent example of an MTTOP is a GPGPU, but other examples include Intel's MIC architecture and some recent academic designs. MTTOPs differ from CPUs in many significant ways, including their ability to tolerate latency, their memory system organization, and the characteristics of the software they run. We compare implementations of various hardware consistency models for MTTOPs in terms of performance, energy-efficiency, hardware complexity, and programmability. Our results show that the choice of hardware consistency model has a surprisingly minimal impact on performance and thus the decision should be based on hardware complexity, energy-efficiency, and programmability. For many MTTOPs, it is likely that even a simple implementation of sequential consistency is attractive.
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