Dynamic Partitioning in Different Distributed-Memory Environments (1996)
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| Venue: | In Job Scheduling Strategies for Parallel Processing |
| Citations: | 8 - 5 self |
BibTeX
@INPROCEEDINGS{Islam96dynamicpartitioning,
author = {Nayeem Islam and Andreas Prodromidis and Mark S. Squillante},
title = {Dynamic Partitioning in Different Distributed-Memory Environments},
booktitle = {In Job Scheduling Strategies for Parallel Processing},
year = {1996},
pages = {244--270},
publisher = {Springer-Verlag}
}
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Abstract
In this paper we present a detailed analysis of dynamic partitioning in different distributed-memory parallel environments based on experimental and analytical methods. We develop an experimental testbed for the IBM SP2 and a network of workstations, and we apply a general analytic model of dynamic partitioning. This experimental and analytical framework is then used to explore a number of fundamental performance issues and tradeoffs concerning dynamic partitioning in different distributed-memory computing environments. Our results demonstrate and quantify how the performance benefits of dynamic partitioning are heavily dependent upon several system variables, including workload characteristics, system architecture, and system load.
