A programming model performance study using the NAS parallel benchmarks

Scientific Programming

Volumn 18, Issue 3-4, 2010, Pages 153-167

  Shan, Hongzhang ^a   Blagojević, Filip ^a   Min, Seung Jai ^a   Hargrove, Paul ^a   Jin, Haoqiang ^b   Fuerlinger, Karl ^c   Koniges, Alice ^a   Wright, Nicholas J ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b NASA AMES RESEARCH CENTER   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

memory usage; MPI; OpenMP; performance study; Programming model; UPC

Indexed keywords

APPLICATION PROGRAMMING INTERFACES (API); BENCHMARKING; MULTICORE PROGRAMMING;

MEMORY USAGE; MODELING PERFORMANCE; MPI; NAS PARALLEL BENCHMARKS; OPENMP; PERFORMANCE; PERFORMANCE STUDY; POWER; PROGRAMMING MODELS; UPC;

SOFTWARE ARCHITECTURE;

EID: 79551704213     PISSN: 10589244     EISSN: None     Source Type: Journal    
DOI: 10.1155/2010/715637     Document Type: Article

References (8)

1. Berkeley UPC - Unified Parallel C, available at: http://upc.lbl. gov.
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3. H. Jin, R. Hood and P. Mehrota, A practical study of UPC with the NAS parallel benchmarks, in: Partitioned Global Address Space Languages, October 2009.
4. D.A. Mallon, G.L. Taboada, C. Teijeiro, J. Tourino, B.B. Fraguela, A. Gomez, R. Doallo and J.C. Mourino, Performance evaluation of MPI, UPC, and OpenMP on multicore architectures, in: Euro PVM/MPI 2009, September 7-10, 2009.
5. NAS Parallel Benchmarks, available at: http://www.nas.nasa. gov/Resources/Software/npb.html.
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8. N.J. Wright, W. Pfeiffer and A. Snavely, Characterizing parallel scaling of scientific applications using IPM, in: The 10th LCI International Conference on High-Performance Clustered Computing, March 10-12, 2009.