NDLI: Toward loosely coupled programming on petascale systems

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Toward loosely coupled programming on petascale systems

Content Provider	ACM Digital Library
Author	Foster, Ian Iskra, Kamil Raicu, Ioan Wilde, Mike Zhang, Zhao Clifford, Ben Beckman, Pete
Abstract	We have extended the Falkon lightweight task execution framework to make loosely coupled programming on petascale systems a practical and useful programming model. This work studies and measures the performance factors involved in applying this approach to enable the use of petascale systems by a broader user community, and with greater ease. Our work enables the execution of highly parallel computations composed of loosely coupled serial jobs with no modifications to the respective applications. This approach allows a new---and potentially far larger---class of applications to leverage petascale systems, such as the IBM Blue Gene/P supercomputer. We present the challenges of I/O performance encountered in making this model practical, and show results using both microbenchmarks and real applications from two domains: economic energy modeling and molecular dynamics. Our benchmarks show that we can scale up to 160K processor-cores with high efficiency, and can achieve sustained execution rates of thousands of tasks per second.
Starting Page	1
Ending Page	12
Page Count	12
File Format	PDF
ISBN	9781424428359
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-11-15
Access Restriction	Subscribed
Subject Keyword	Blue gene Falkon Swift Loosely coupled applications Many task computing High throughput computing Petascale
Content Type	Text
Resource Type	Article

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