数据移动和高性能计算

S. Johnsson
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引用次数: 3

摘要

自第一台电子计算机问世以来,高效的数据移动在高性能计算中一直至关重要。提供足够的内存带宽来平衡处理器的容量导致了内存层次结构,银行和交错存储器。随着MOS技术、微处理器和存储器设计的快速发展,构建具有数千个处理器和每秒1万亿次或更多操作的持续性能的系统是现实的。这样的系统需要数以万计的内存库,即使利用了引用的局部性。使用传统技术,连接数千个处理器和数万个存储库只能通过某种形式的稀疏互连网络来实现。有效地利用局部性参考和网络带宽至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data motion and high performance computing
Efficient data motion has been of critical importance in high performance computing almost since the first electronic computers were built. Providing sufficient memory bandwidth to balance the capacity of processors led to memory hierarchies, banked and interleaved memories. With the rapid evolution of MOS technologies, microprocessor and memory designs, it is realistic to build systems with thousands of processors and a sustained performance of a trillion operations per second or more. Such systems require tens of thousands of memory banks, even when locality of reference is exploited. Using conventional technologies, interconnecting several thousand processors with tens of thousands of memory banks can feasibly only be made by some form of sparse interconnection network. Efficient use of locality of reference and network bandwidth is critical.<>
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