Novel architectures: Solving computational problems with GPU computing

Computing in Science and Engineering

Volumn 11, Issue 5, 2009, Pages 58-63

  Cohen, Jonathan ^a   Garland, Michael ^b  

^a Nvidia ^*

^b University of Illinois ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL PROBLEM; GPU COMPUTING; NOVEL ARCHITECTURE; PARALLEL COMPUTATION; SCIENCE AND ENGINEERING;

PROGRAM PROCESSORS;

EID: 70349199324     PISSN: 15219615     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCSE.2009.144     Document Type: Article

References (7)

1. J.D. owens et al., "A Survey of General-Purpose Computation on Graphics hardware," Computer Graphics Forum, vol.26, no.1, 2007, pp. 80-113.
2. E. lindholm et al., "Nvidia tesla: A unified Graphics and Computing Architecture," IEEE Micro, vol.28, no.2, 2008, pp. 39-55.
3. J. Nickolls et al., "Scalable Parallel Programming with CuDA," Queue, vol.6, no.2, 2008, pp. 40-53.
4. J.M. Cohen and M.J. Molemaker, A Fast Double Precision CFD Code Using CUDA, tech. report Nvr-2009-3001, Nvidia, May 2009.
5. N. Bell and M. Garland, Efficient Sparse Matrix-Vector Multiplication on CUDA, tech. report Nvr-2008-3004, Nvidia, Dec. 2008.
6. M. Garland et al., "Parallel Computing Experiences with CuDA," IEEE Micro, vol.28, no.4, 2008, pp. 13-27.
7. J.D. owens et al., "GPu Computing," Proc. IEEE, vol.96, no.5, 2008, pp. 879-899.