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Author Country (or Countries)

China

Abstract

This paper studies self-similarity of memory accesses in high-performance computer systems. We analyze the autocorrelation functions of memory access intervals in SPEC CPU workloads with different time scales and present the statistical evidence that memory accesses have self-similar behavior. For memory traces studied in our experiments, all estimated Hurst parameters are larger than 0.5, which indicate that self-similarity seems to be a general property of memory access behaviors. In addition, a selfsimilar model is proposed to generate memory access series and experimental results show that this model can faithfully emulate the complex access behaviors of real memory systems.

Suggested Reviewers

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Digital Object Identifier (DOI)

http://dx.doi.org/10.12785/amis/080441

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