NDLI: Predicting and Evaluating Distributed Communication Performance

Content Provider	IEEE Xplore Digital Library
Author	Cameron, K.W. Ge, R.
Copyright Year	2004
Description	Author affiliation: University of South Carolina (Cameron, K.W.)
Abstract	Application of hardware-parameterized models to distributed systems can result in omission of key bottlenecks such as the full cost of inter- and intra-node communication in a cluster of SMPs. However, inclusion of message and middleware characteristics may result in impractical models. Nonetheless, the growing gap between memory and CPU performance combined with the trend toward large scale clustered shared memory platforms implies an increased need to consider the impact of middleware on distributed communication. We present a software-parameterized model of point-to-point communication for use in performance prediction and evaluation. We illustrate the utility of the model in two ways: 1) to derive a simple, useful, more accurate model of point-to-point communication in clusters of SMPs, 2) to predict and analyze point-to-point and broadcast communication costs in clusters of SMPs. We present our results on an IA-64-based cluster.
Starting Page	43
Ending Page	43
File Size	254230
Page Count	1
File Format	PDF
ISBN	0769521533
DOI	10.1109/SC.2004.40
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Middleware Predictive models Phase change random access memory Algorithm design and analysis Delay Large-scale systems Registers Hardware System software distributed systems performance modeling and prediction middleware
Content Type	Text
Resource Type	Article

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