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.

• Type: Conference
• Year: 1999
• Where: IPPS
• Authors: Xian-He Sun, Dongmei He, Kirk W. Cameron, Yong Luo
• Keywords: Advanced Memory Systems, Distributed And Parallel Computing, IPPS 1999, Memory Systems, Methodology