Performance models for the processor farm paradigm

In this paper, we describe the design, implementation, and modeling of a runtime kernel to support the processor farm paradigm on multicomputers. We present a general topology-independent framework for obtaining performance models to predict the performance of the start-up, steady-state, and wind-do...

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Bibliographic Details
Published in:IEEE transactions on parallel and distributed systems Vol. 8; no. 5; pp. 475 - 489
Main Authors: Wagner, A.S., Sreekantaswamy, H.V., Chanson, S.T.
Format: Journal Article
Language:English
Published: IEEE 01.05.1997
Subjects:
Computer Society
Concurrent computing
Kernel
Multiprocessor interconnection networks
Network topology
Parallel programming
Predictive models
Runtime
Software performance
Steady-state
ISSN:1045-9219
Online Access:Get full text
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Summary:In this paper, we describe the design, implementation, and modeling of a runtime kernel to support the processor farm paradigm on multicomputers. We present a general topology-independent framework for obtaining performance models to predict the performance of the start-up, steady-state, and wind-down phases of a processor farm. An algorithm is described, which for any interconnection network determines a tree-structured subnetwork that optimizes farm performance. The analysis technique is applied to the important case of k-ary tree topologies. The models are compared with the measured performance on a variety of topologies using both constant and varied task sizes.
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ISSN:1045-9219
DOI:10.1109/71.598275