使用数据重分配的超立方体多处理器的优雅降级

C. Li, W. Fuchs
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引用次数: 14

摘要

本文描述了一种用于超立方体多处理器的数据再分配方法。使用所描述的二阶参数化数据分布技术的cpu绑定超多维数据集程序可以在任何大小的多维数据集上运行,从而实现优雅的降级,而无需重新编译。设计了一种传输机制,当二阶参数化数据分布超立方体程序的性能优于一阶程序时,将其转换为相应的一阶程序。已经在Intel iPSC/2超立方体上实现了一个程序包来支持这种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graceful Degradation on Hypercube Multiprocessors Using Data Redistribution
A data redistribution approach to graceful degradation is described in this paper for hypercube multiprocessors. CPU-bound hypercube programs using the described second-order parametrized data distribution technique can run on a group of cubes of any size to achieve graceful degradation without recompila tion. A transmission mechanism has been designed to switch the performance of a second-order parametrized data distribution hypercube program to that of a corresponding first-order program when the latter is superior. A package of procedures has been implemented on the Intel iPSC/2 hypercube to support the approach.
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