Modeling data migration on CC-NUMA and CC-COMA hierarchical ring architectures

Xiaodong Zhang, Yong Yan
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Abstract

Parallel computing performance on scalable shared-memory architectures depends primarily on the structure of the interconnection networks linking processors to memory modules and on the efficiency of the memory/cache management systems. While Cache Coherence Non-Uniform Memory Access (CC-NUMA) and Cache Only Memory Access (CC-COMA) are two effective memory systems, and the hierarchical ring structure is an efficient interconnection network in hardware. This paper focuses on comparative performance modeling and the evaluation of CC-NUMA and CC-COMA on a hierarchical ring shared-memory architecture.<>
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基于CC-NUMA和CC-COMA分层环结构的数据迁移建模
可扩展共享内存架构上的并行计算性能主要取决于连接处理器和内存模块的互连网络的结构以及内存/缓存管理系统的效率。而Cache Coherence Non-Uniform Memory Access (CC-NUMA)和Cache Only Memory Access (CC-COMA)是两种有效的存储系统,分层环结构是一种高效的硬件互连网络。本文重点研究了CC-NUMA和CC-COMA在分层环形共享内存架构上的性能比较建模和评价。
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