| Parallel computing on any desktop |
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Communications of the ACM
archive
Volume 50 , Issue 9 (September 2007)
table of contents
ACM's plan to go online first
Pages: 74 - 78
Year of Publication: 2007
ISSN:0001-0782
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Author
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Ami Marowka
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Shenkar College of Engineering and Design, Ramat-Gan, Israel
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| Bibliometrics |
Downloads (6 Weeks): 28, Downloads (12 Months): 316, Citation Count: 2
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ABSTRACT
Parallelization lets applications exploit the high throughput of new multicore processors, and the OpenMP parallel programming model helps developers create multithreaded applications.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Asanovic, K. et al. The Landscape of Parallel Computing Research: A View from Berkeley. Electrical Engineering and Computer Sciences, University of California, Berkeley. Technical Report No. UCB/EECS-2006-183, Dec. 18, 2006; www.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-183.html.
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Bell, G. Massively parallel computers: Why not parallel computers for the masses? In Proceedings of the Fourth Symposium on the Frontiers of Massively Parallel Computers (McLean, VA, Oct. Oct. 19--21). IEEE Press, Los Alamitos, CA, 1992, 292--297.
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Marowka, A. Extending OpenMP for task parallelism. Parallel Processing Letters 13, 3 (Sept. 2003), 341--352.
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OpenMP Architecture Review Board. OpenMP Application Program Interface, Version 2.5 (May 2005); www.openmp.org/.
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Sutter, H. The free lunch is over: A fundamental turn toward concurrency in software. Dr. Dobb's Journal 30, 3 (Mar. 2005), 292--210.
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