Parallel computing experiences with CUDA

IEEE Micro

Volumn 28, Issue 4, 2008, Pages 13-27

  Garland, Michael ^a   Le Grand, Scott ^a   Nickolls, John ^a   Anderson, Joshua ^b   Hardwick, Jim ^c   Morton, Scott ^d   Phillips, Everett ^e   Zhang, Yao ^f   Volkov, Vasily ^g  

^a NVIDIA   (United States)

^b IOWA STATE UNIVERSITY   (United States)

^c TechniScan Inc   (United States)

^d HESS CORPORATION   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f University of California   (United States)

^g UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Computational modeling; Computer architecture; Kernel; Object oriented modeling; Parallel processing; Program processors; Programming

Indexed keywords

PARALLEL PROCESSING SYSTEMS;

COMPUTATIONAL MODELING; COMPUTER ARCHITECTURE; KERNEL; OBJECT ORIENTED MODELING; PARALLEL PROCESSING; PROGRAM PROCESSORS; PROGRAMMING;

PARALLEL PROGRAMMING;

EID: 53749092570     PISSN: 02721732     EISSN: None     Source Type: Journal    
DOI: 10.1109/MM.2008.57     Document Type: Article

References (22)

1. J. Nickolls et al., "Scalable Parallel Programming with CUDA," ACM Queue, vol. 6, no. 2, Mar./Apr. 2008, pp. 40-53.
2. E. Lindholm et al., "NVIDIA Tesla:A Unified Graphics and Computing Architecture," IEEE Micro, vol. 28, no. 2, Mar./Apr. 2008, pp. 39-55.
3. B. Catanzaro, N. Sundaram, and K. Keutzer, "Fast Support Vector Machine Training and Classification on Graphics Processors," Proc. 25th Ann. Int'l Conf. Machine Learning, Omnipress, 2008, pp. 104-111.
4. B. He et al., "Relational Joins on Graphics Processors," Proc. ACM SIGMOD 2008, ACM Press, 2008; www.cse.ust.hk/catalac/papers/gpujoin_sigmod08.pdf.
5. M. Schatz et al., "High-Throughput Sequence Alignment Using Graphics Processing Units," BMC Bioinformatics, vol. 8, no. 1, 2007, p. 474; http://dx.doi.org/l0.1186/1471-2105-8-474.
6. S. Manavski and G. Valle, "CUDA Compatible GPU Cards as Efficient Hardware Accelerators for Smith-Waterman Sequence Alignment," BMC Bioinformatics, vol. 9, suppl. 2, 2008, p. S10; http://dx.doi.org/ 10.1186/1471-2105-9-S2-S10.
7. S.S. Stone et al., "How GPUs Can Improve the Quality of Magnetic Resonance Imaging," Proc. 1st Workshop General Purpose Processing on Graphics Processing Units, 2007.
8. D. Frenkel and B. Smit, Understanding Molecular Simulations, Academic Press, 2002.
9. J.A. Anderson, C.D. Lorenz, and A. Travesset, "Micellar Crystals in Solution from Molecular Dynamics Simulations," J. Chemical Physics vol. 128, 2008, pp. 184906-184916.
10. J.A. Anderson, C.D. Lorenz, and A. Travesset, "General Purpose Molecular Dynamics Simulations Fully Implemented on Graphics Processing Units," J. Computational Physics, vol. 227, no. 10, May 2008, pp. 5342-5359.
11. J.E. Stone et al., "Accelerating Molecular Modeling Applications with Graphics Processors," J. Computational Chemistry, vol. 28, no. 16, 2007, pp. 2618-2640.
12. C.I. Rodrigues et al., "GPU Acceleration of Cutoff Pair Potentials for Molecular Modeling Applications," Proc. 2008 Conf. Computing Frontiers (CF 08), ACM Press, 2008, pp. 273-282.
13. S. Plimpton, "Fast Parallel Algorithms for Short-Range Molecular Dynamics," J. Computational Physics, vol. 117, no. 1, 1995, pp. 1-19.
14. M. Shirts and V.S. Pande, "Screen Savers of The World Unite," Science, vol. 290, no. 5498, 2000, pp. 1903-1904.
15. V. Volkov and J.W. Demmel, "LU, QR and Cholesky Factorizations Using Vector Capabilities of GPUs," tech. report UCB/EECS-2008-49, EECS Dept., Univ. of Calif., Berkeley, 2008.
16. S. Ryoo et al., "Optimization Principles and Application Performance Evaluation of a Multithreaded GPU using CUDA," Proc. 13th ACM SIGPLAN Symp. Principles and Practice of Parallel Programming, ACM Press, 2008, pp. 73-82.
17. S.A. Johnson et al., Apparatus and Method for Imaging Objects with Wavefields, US patent 6,636,584, Patent and Trademark Office, 2003.
18. R.H. Ni, "A Multiple Grid Scheme for Solving the Euler Equations," Proc. AIAA 5th Computational Fluid Dynamics Conf., AIAA Press, 1981, pp. 257-264.
19. E.H. Phillips et al., "A Multi-Grid Solver for the 2D Compressible Euler Equations on a GPU Cluster," tech. report ECE-CE-2008-2, Computer Eng. Research Lab., Univ. of California, Davis, 2008; www.ece.ucdavis.edu/cerl/techreports/2008-2.
20. T. Brandvik and G. Pullan, "Acceleration of a 3D Euler Solver Using Commodity Graphics Hardware," Proc. 48th AIAA Aerospace Sciences Meeting and Exhibit, AIAA Press, 2008, p. 607.
21. H.S. Stone, "Parallel Tridiagonal Equation Solvers," ACM Trans. Mathematical Software, vol. 1, no. 4, Dec. 1975, pp. 289-307, http://doi.acm.org/l0.1145/355656.355657.
22. M. Kass, A. Lefohn, and J. Owens, "Interactive Depth of Field Using Simulated Diffusion on a GPU," tech. report 06-01, Pixar Animation Studios, 2006; http://graphics.pixar.com/DepthOfField/.