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1999
IEEE

A Factorial Performance Evaluation for Hierarchical Memory Systems

9 years 3 months ago
A Factorial Performance Evaluation for Hierarchical Memory Systems
In this study, we introduce an evaluation methodology for advanced memory systems. This methodology is based on statistical factorial analysis. It is two fold: it first determines the impact of memory systems and application programs toward overall performance; it also identifies the bottleneck in a memory hierarchy and provides cost/performance comparisons via scalability analysis. Different memory systems can be compared in terms of mean performance or scalability over a range of codes and problem sizes. Experimental testing has been performed on Department of Energy's Accelerated Strategic Computing Initiative (ASCI) machines and benchmarks available at the Los Alamos National Laboratory to validate this newly proposed methodology. Experimental and analytical results show this methodology is an effective tool for memory system evaluation and design.
Xian-He Sun, Dongmei He, Kirk W. Cameron, Yong Luo
Added 03 Aug 2010
Updated 03 Aug 2010
Type Conference
Year 1999
Where IPPS
Authors Xian-He Sun, Dongmei He, Kirk W. Cameron, Yong Luo
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