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Solving Computational Problems with GPU Computing
September/October 2009 (vol. 11 no. 5)
pp. 58-63
ASCII Text
x 
 
Jonathan Cohen, Michael Garland, "Solving Computational Problems with GPU Computing," Computing in Science and Engineering, vol. 11, no. 5, pp. 58-63, September/October, 2009.
 
 
BibTex
x
 
@article{ 10.1109/MCSE.2009.144,
author = {Jonathan Cohen and Michael Garland},
title = {Solving Computational Problems with GPU Computing},
journal ={Computing in Science and Engineering},
volume = {11},
number = {5},
issn = {0740-7475},
year = {2009},
pages = {58-63},
doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2009.144},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computing in Science and Engineering
TI - Solving Computational Problems with GPU Computing
IS - 5
SN - 0740-7475
SP58
EP63
EPD - 58-63
A1 - Jonathan Cohen,
A1 - Michael Garland,
PY - 2009
VL - 11
JA - Computing in Science and Engineering
ER -
 

Modern GPUs are massively parallel microprocessors that can deliver very high performance for the parallel computations common in science and engineering.

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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-2009-001, Nvidia, May 2009.
5. N. Bell and M. Garland, Efficient Sparse Matrix-Vector Multiplication on CUDA, tech. report NVR-2008-004, 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.

Citation:
Jonathan Cohen, Michael Garland, "Solving Computational Problems with GPU Computing," Computing in Science and Engineering, vol. 11, no. 5, pp. 58-63, Sep./Oct. 2009, doi:10.1109/MCSE.2009.144
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