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Manager-client pairing: A framework for implementing coherence hierarchies

机译:经理-客户配对:实现一致性层次结构的框架

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As technology continues to scale, the need for more sophisticated coherence management is becoming a necessity. The likely solution to this problem is the use of coherence hierarchies, analogous to how cache hierarchies have helped address the memory-wall problem in the past. Previous work in the construction of large-scale coherence protocols, however, demonstrates the complexity inherent to this design space. The difficulty with hierarchical coherence protocol design is the complexity increases exponentially with the increase in coherence states, due in turn to interactions between hierarchy tiers. Additionally, because of the large development investment, choices regarding coherence hierarchy are often made statically with little knowledge of how changes to the organization would affect the system. In this work, we present Manager-Client Pairing (MCP) as a unifying methodology for designing multi-tier coherence protocols by formally defining and limiting the interactions between levels within a coherence hierarchy to enable composition. Using MCP, we then implement a variety of hierarchical coherence protocol configurations for a 256-core system comprised of 4 64-core manycores, and provide insights into what impact different hierarchy depth and width choices can have on system performance.
机译:随着技术的不断扩展,对更复杂的一致性管理的需求已成为必需。解决此问题的可能方法是使用一致性层次结构,类似于缓存层次结构过去如何帮助解决内存墙问题。但是,先前在构建大规模一致性协议时所做的工作证明了该设计空间固有的复杂性。分层一致性协议设计的困难在于,复杂性会随着一致性状态的增加而呈指数增长,这又是由于分层之间的交互作用所致。此外,由于投入了大量开发资金,因此通常在不了解组织更改将如何影响系统的情况下,静态地进行有关一致性层次结构的选择。在这项工作中,我们通过形式化定义和限制一致性层次结构中各个级别之间的交互以实现组合,将经理-客户端配对(MCP)作为设计多层一致性协议的统一方法。然后,使用MCP,我们可以为由4个64核多核组成的256核系统实现各种分层一致性协议配置,并深入了解不同的分层深度和宽度选择可能对系统性能产生什么影响。

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