Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2009-02-27
Computer Science
Distributed, Parallel, and Cluster Computing
The paper was originally published in: ISBN #: 1-60132-084-1 (a two-volume set) Proceedings of the 2008 International Conferen
Scientific paper
We present a novel characterization of how a program stresses cache. This characterization permits fast performance prediction in order to simulate and assist task scheduling on heterogeneous clusters. It is based on the estimation of stack distance probability distributions. The analysis requires the observation of a very small subset of memory accesses, and yields a reasonable to very accurate prediction in constant time.
Grehant Xavier
Jarp Sverre
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