POEMS: End-to-End Performance Design of Large Parallel Adaptive Computational Systems
IEEE Transactions on Software Engineering
PDRS: A Performance Data Representation System
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
A Statistical-Empirical Hybrid Approach to Hierarchical Memory Analysis
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
| Hi-index | 0.00 |
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.