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Author Johnson, Kirk L.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract As multiprocessor sizes scale and computer architects turn to interconnection networks with non-uniform communication latencies, the lure of exploiting communication locality to increase performance become inevitable. Models that accurately quantify locality effects provide invaluable insight into the importance of exploiting locality as machine sizes and features change. This paper presents a framework for modeling the impact of communication locality on system performance. The framework provides a means for combining simple models of application, processor, and network behavior to obtain a combined model that accurately reflects feedback effects between processors and networks. We introduce a model that characterizes application behavior with three parameters that capture computation grain, sensitivity to communication latency, and amount of locality present at execution time. The combined model, we show that exploiting communication locality provides gains which are at most linear in the factor by which average communication distance is reduced when the number of outstanding communication transactions per processor is bounded. The combined model is also used to obtain rough upper bounds on the performance improvement from exploiting locality to minimize communication distance.
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1981-04-01
Publisher Place New York
Journal ACM SIGARCH Computer Architecture News (CARN)
Volume Number 20
Issue Number 2
Page Count 11
Starting Page 392
Ending Page 402


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Source: ACM Digital Library