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Title:A New Locality Metric and Case Studies for HPCS Benchmarks
Author(s):Yu, Jing; Baghsorkhi, Sara; Snir, Marc
Subject(s):High-performance computing
Abstract:We propose in this paper a new approach to study the temporal and spatial locality of codes using a plot of cache miss bandwidth as a function of cache size and line size for a fully associative LRU cache. We apply this new approach to the study of locality for several High-Performance benchmarks. We show that this plot capture fine behavior of these benchmarks and explain some of the difficulties that recent attempts to characterize locality using a few parameters are facing: Codes can exhibit different levels of temporal or spatial locality for different cache sizes; averaging these different behavior requires to weight properly the cost of misses at different levels of the memory hierarchy. We propose such a scheme, for an average measure of temporal locality.
Issue Date:2005-04
Genre:Technical Report
Other Identifier(s):UIUCDCS-R-2005-2564
Rights Information:You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
Date Available in IDEALS:2009-04-17

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