NDLI: Matrix Multiplication Performance on Commodity Shared-Memory Multiprocessors

Content Provider	IEEE Xplore Digital Library
Author	Tsilikas, G. Fleury, M.
Copyright Year	2004
Description	Author affiliation: University of Essex, UK (Tsilikas, G.)
Abstract	Cache-oblivious algorithms for matrix multiplication are confirmed as an effective way of exploiting Intel architecture shared-memory multiprocessors. The performance also remains consistent across a wide range of matrix size. The Cilk programming environment remains an effective way of implementing this type of algorithm, but the need for portability and a compiler upgrade route mean that a portability library is a competitive alternative. The paper considers the interaction of matrix multiplication algorithms with the memory hierarchy, as well as multithreading across differing operating system variants and compilers.
Sponsorship	Dresden Univ. of Technol. IEEE Comput. Soc. Tech. Committee on Parallel Processing IEEE Comput. Soc. Tech. Committee on Supercomputing Application Fraunhofer IIS Siemens Business Services TUD, Sonderforschungsbereich 358
Starting Page	13
Ending Page	18
File Size	174847
Page Count	6
File Format	PDF
ISBN	0769520804
DOI	10.1109/PCEE.2004.43
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-07
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Libraries Yarn Operating systems Symmetric matrices Scheduling Testing Linux Systems engineering and theory Electronic mail Programming environments
Content Type	Text
Resource Type	Article

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