ANDES: Evaluating Mapping Strategies with Synthetic Programs (1997)
| Venue: | Euromicro J. of Systems Architecture |
| Citations: | 1 - 1 self |
BibTeX
@ARTICLE{Kitajima97andes:evaluating,
author = {João Paulo Kitajima and Brigitte Plateau and Pascal Bouvry and Denis Trystram},
title = {ANDES: Evaluating Mapping Strategies with Synthetic Programs},
journal = {Euromicro J. of Systems Architecture},
year = {1997},
pages = {42--351}
}
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Abstract
This paper presents the ANDES performance evaluation tool. ANDES is based on the synthetic execution of parallel programs and it is used for the evaluation of mapping strategies. The Meganode, a distributed memory parallel computer, is considered as our target architecture. ANDES takes into account a benchmark of quantitative models of parallel algorithms and a set of mapping strategies (greedy and iterative algorithms are used). We show how this tool allows an extensive comparison of mapping strategies by using the benchmark, the mapping strategies and different cost functions. 1 Introduction Distributed memory multiprocessors (DMM) are the current trend of high-performance parallel computers. They represent a good balance between cost and performance, mainly because of the connection of several commercial, general and relatively cheap microprocessors. A distributed memory multiprocessor is a computer composed of autonomous processors connected by a high speed communication network....
