Lightweight Task Analysis for Cache-Aware Scheduling on Heterogeneous Clusters
Xavier Gréhant, Sverre Jarp · arXiv (Cornell University) · 2009
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.