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Dealing with Traffic-Area Trade-Off in Direct Coherence Protocols for Many-Core CMPs

机译:在多核CMP的直接一致性协议中处理流量区域权衡

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摘要

In many-core CMP architectures, the cache coherence protocol is a key component since it can add requirements of area and power consumption to the final design and, therefore, it could restrict severely its scalability. Area constraints limit the use of precise sharing codes to small- or medium-scale CMPs. Power constraints make impractical to use broadcast-based protocols for large-scale CMPs.rnToken-CMP and DiCo-CMP are cache coherence protocols that have been recently proposed to avoid the indirection problem of traditional directory-based protocols. However, Token-CMP is based on broadcasting requests to all tiles, while DiCo-CMP adds a precise sharing code to each cache entry. In this work, we address the traffic-area trade-off for these indirection-aware protocols. In particular, we propose and evaluate several implementations of DiCo-CMP which differ in the amount of coherence information that they must store. Our evaluation results show that our proposals entail a good traffic-area trade-off by halving the traffic requirements compared to Token-CMP and considerably reducing the area storage required by DiCo-CMP.
机译:在多核CMP体系结构中,缓存一致性协议是关键组件,因为它可能会增加最终设计的面积和功耗要求,因此可能会严重限制其可伸缩性。区域限制将精确共享代码的使用限制为中小型CMP。功率限制使将基于广播的协议用于大规模CMP变得不切实际。rnToken-CMP和DiCo-CMP是最近被提出来避免传统的基于目录的协议的间接问题的高速缓存一致性协议。但是,令牌CMP基于对所有图块的广播请求,而DiCo-CMP将精确的共享代码添加到每个缓存条目。在这项工作中,我们针对这些间接感知协议解决了流量区域的权衡问题。特别是,我们提出并评估了DiCo-CMP的几种实现方式,这些实现方式必须存储的相干信息量不同。我们的评估结果表明,与Token-CMP相比,通过将流量需求减少一半,并大大减少DiCo-CMP所需的区域存储,我们的提案需要实现良好的流量区域权衡。

著录项

  • 来源
  • 会议地点 Rapperswil(CH);Rapperswil(CH)
  • 作者单位

    Departamento de Ingenieria y Tecnologfa de Computadores Universidad de Murcia, 30100 Murcia, Spain;

    Departamento de Ingenieria y Tecnologfa de Computadores Universidad de Murcia, 30100 Murcia, Spain;

    Departamento de Ingenieria y Tecnologfa de Computadores Universidad de Murcia, 30100 Murcia, Spain;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 理论、方法;
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