减少集群微架构上内存通信的转向和转发技术

H. Irie, N. Hattori, M. Takada, N. Hatta, T. Toyoshima, S. Sakai
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引用次数: 0

摘要

在集群微架构设计中,具有大型ram、大型cam和所有连接的结果旁路环路的执行核被划分为更小的执行核,这些执行核被称为集群。集群微架构允许可扩展的核心设计,因为无论核心的整个执行宽度如何,集群内操作都保持快速。但是关键内存传输(存储-负载-消费者)的本地化仍然是一个问题。在这项工作中,我们提出了一种名为“分布式推测内存转发(DSMF)”的技术,该技术将关键内存传输定位到集群中。DSMF在退休阶段学习内存依赖,将存储和消费者的依赖对引导到同一集群,在集群中本地传输数据。我们表明,在基线集群微架构上,通过这种定位获得了15%的IPC改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Steering and forwarding techniques for reducing memory communication on a clustered microarchitecture
In a clustered micro architecture design, the execution core which has large RAMs, large CAMs and all connected result bypass loops is partitioned into smaller execution cores that are called clusters. Clustered microarchitecture can allow a scalable core design because intra-cluster operation remains fast regardless of entire execution width of the core. But localization of critical memory transfers (store-load-consumer) is still a problem. In this work, we propose a technique named "distributed speculative memory forwarding (DSMF)" that localizes critical memory transfers into a cluster. DSMF learns memory dependences at retire stage, steers dependent pair of the store and the consumer to the same cluster, transfers data locally in the cluster. We show that the IPC improvement of 15% was obtained by this localization on the baseline clustered microarchitecture.
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