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An Experimental Investigation of Scalable Locality for Cluster Computing By Ian Burnette et al.
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Loop nest transformation has been used successfully to tune dense numerical codes for high performance on single- and multi-core shared-memory systems, but has not been widely applied to cluster... More > computing. We have explored the use of these tools to produce the extremely high degree of memory locality needed to achieve high performance on a cluster with Intel’s Cluster OpenMP software. Our experiments show high performance across our dedicated homogeneous 56-core/14-node research cluster with gigabit Ethernet. With proper tuning, performance drops by less than a factor of two, and sometimes only a few percent, when the network speed is reduced to 100Mb/sec. These results indicate that properly chosen compile-time optimizations can be used for cluster computing, and illustrate the importance of scalable locality, which may be of interest to programmers developing cluster codes manually.< Less

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