tile - mapreduce:通过平铺优化多核数据并行应用程序的资源使用

2010 19th International Conference on Parallel Architectures and Compilation Techniques (PACT) Pub Date : 2010-09-11 DOI:10.1145/1854273.1854337

Rong-Xin Chen, Haibo Chen, B. Zang

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引用次数: 130

摘要

芯片多处理器的流行为在具有多个核心的单个机器上的集群中运行数据并行应用程序提供了机会。MapReduce是一种用于大规模集群编程的简单而优雅的编程模型，最近被证明是利用多核平台的一种有前途的替代方案。

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Tiled-MapReduce: Optimizing resource usages of data-parallel applications on multicore with tiling

The prevalence of chip multiprocessor opens opportunities of running data-parallel applications originally in clusters on a single machine with many cores. MapReduce, a simple and elegant programming model to program large scale clusters, has recently been shown to be a promising alternative to harness the multicore platform.

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来源期刊

2010 19th International Conference on Parallel Architectures and Compilation Techniques (PACT)

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