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Main Title: Poster: implications of merging phases on scalability of multi-core architectures
Author(s): Manivannan, Madhavan
Juurlink, Ben
Stenstrom, Per
Type: Conference Object
Language Code: en
Abstract: Amdahl's Law estimates parallel applications with negligible serial sections to potentially scale to many cores. However, due to merging phases in data mining applications, the serial sections do not remain constant. We extend Amdahl's model to accommodate this and establish that Amdahl's Law can overestimate the scalability offered by symmetric and asymmetric architectures for such applications. Implications: 1) A better use of the chip area is for fewer and hence more capable cores rather than simply increasing the number of cores for symmetric and asymmetric architectures and 2) The performance potential of asymmetric over symmetric multi-core architectures is limited for such applications.
Issue Date: 2011
Date Available: 26-Oct-2017
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): amdahl's law
multi-core architecture
reduction operations
Proceedings Title: Proceedings of the International Conference on Supercomputing
Publisher: Association for Computing Machinery (ACM)
Publisher Place: New York, NY
Publisher DOI: 10.1145/1995896.1995963
Page Start: 380
Page End: 380
ISBN: 978-1-4503-0102-2
Appears in Collections:FG Architektur eingebetteter Systeme » Publications

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