Accelerating linpack with cuda on heterogenous clusters

Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units, GPGPU-2

Volumn , Issue , 2009, Pages 46-

  Fatica, Massimiliano ^a  

^a NVIDIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CPU CORES; HETEROGENOUS CLUSTERS; LINPACK; SOURCE CODES;

PROGRAM PROCESSORS;

EID: 67650686517     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1513895.1513901     Document Type: Conference Paper

References (6)

1. http://www.top500.org
2. A. Petitet, R. C. Whaley, J. Dongarra, and A. Cleary. HPL-a portable implementation of the high performance Linpack benchmark for distributed memory computers, version 2.0. http://www.netlib.org/benchmark/hpl/
3. NVIDIA CUDA Compute Unified Device Architecture Programming Guide.
4. J. J. Dongarra, L. S. Duff, D. C. Sorensen, and H. A. V. Vorst. Numerical Linear Algebra for High Performance Computers. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 1998.
5. J. Dongarra, P. Luszczek, A. Petitet, "The Linpack Benchmark: Past, Present and Future", Concurrency and Computation: Practice and Experience, Vol.15, No. 9, 2003.
6. J. J. Dongarra. Performance of various computers using standard linear equations software. Technical report, 2008. http://www.netlib.org/benchmark/ performance.pdf