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A factorial performance evaluation for hierarchical memory systems

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4 Author(s)
Xian-He Sun ; Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA ; Dongmei He ; Cameron, K.W. ; Yong Luo

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

Published in:

Parallel Processing, 1999. 13th International and 10th Symposium on Parallel and Distributed Processing, 1999. 1999 IPPS/SPDP. Proceedings

Date of Conference:

12-16 Apr 1999

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