面向大规模缓存相干多处理器的分层目录方案

Y. Maa, D. Pradhan, D. Thiébaut
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引用次数: 6

摘要

缓存一致性问题是共享内存多处理器设计中的一个主要问题。随着系统规模的扩大,传统的基于总线的snoopy缓存一致性方案已不再适用。相反,基于目录的方案是处理大规模缓存一致性问题的一种很有前途的方法。但是,随着系统大小的增加,目录方案的存储开销常常变得过高。本文提出了分层全映射目录,以减少存储需求,同时仍能获得满意的性能。关键是利用并行程序中共享数据间固有的地理局部性。跟踪驱动的评估表明,该方案的性能与全映射目录方案相比具有竞争力,同时将存储开销减少了90%以上。所提出的分层全映射目录方案似乎是未来大规模多处理器存储系统设计中处理缓存一致性的一种有前途的硬件方法。
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A hierarchical directory scheme for large-scale cache-coherent multiprocessors
Cache coherence problem is a major design issue for shared-memory multiprocessors. As the system size scales, traditional bus-based snoopy cache coherence schemes are no longer adequate. Instead, the directory-based scheme is a promising approach to deal with the large-scale cache coherence problem. However, the storage overhead of directory schemes often becomes too prohibitive as the system size increases. The paper proposes the hierarchical full-map directory to reduce the storage requirement while still achieving satisfactory performance. The key point is to exploit the inherent geographical interprocessor locality among shared data in the parallel programs. Trace-driven evaluations show that the performance of the proposed scheme compares competitively to the full-map directory scheme, while reducing the storage overhead by over 90%. The proposed hierarchical full-map directory scheme seems to be a promising hardware approach for handling cache coherence in the design of future large-scale multiprocessor memory systems.<>
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