• Check out the gpucomputing.net documentation file.
• Join the GPU Computing Research Forum which meets via WebEx the 1st and 3rd Wednesdays of each month from 10 -11 AM Central Time beginning September 15.
• GPU Technology Conference (GTC 2010) - Sumit Schedule Available Online

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Featured Stories and Papers

Initial List of GPU Molecular Modeling Papers

• Probing Biomolecular Machines with Graphics Processors. James C. Phillips, John E. Stone. Communications of the ACM 52(10):34-41, 2009.
• GPU Clusters for High Performance Computing. Volodymyr Kindratenko, Jeremy Enos, Guochun Shi, Michael Showerman, Galen Arnold, John E. Stone, James Phillips, Wen-mei Hwu. In Workshop on Parallel Programming on Accelerator Clusters (PPAC), IEEE Cluster 2009. In press.
• Friedrichs, M.S., Eastman, P., Vaidyanathan, V., Houston, M., Legrand, S., Beberg, A.L., Ensign, D.L., Bruns, C.M., and Pande, V.S. Accelerating molecular dynamic simulation on graphics processing units. Journal of Computational Chemistry 30, 6 (2009), 864–872.
• Long time-scale simulations of in vivo diffusion using GPU hardware. Elijah Roberts, John E. Stone, Leonardo Sepulveda, Wen-mei W. Hwu, and Zaida Luthey-Schulten. In IPDPS '09: Proceedings of the 2009 IEEE International Symposium on Parallel & Distributed Processing, pp. 1-8, 2009.
• High performance computation and interactive display of molecular orbitals on GPUs and multi-core CPUs. John E. Stone, Jan Saam, David J. Hardy, Kirby L. Vandivort, Wen-mei W. Hwu, and Klaus Schulten. In Proceedings of the 2nd Workshop on General-Purpose Processing on Graphics Processing Units, ACM International Conference Proceeding Series, volume 383, pp. 9-18, 2009.
• Multilevel summation of electrostatic potentials using graphics processing units. David J. Hardy, John E. Stone, and Klaus Schulten. Journal of Parallel Computing, 35:164-177, 2009.
• Dynerman, D., Butzlaff, E., and Mitchell, J.C. CUSA and CUDE: GPU-accelerated methods for estimating solvent accessible surface area and desolvation. Journal of Computational Biology 16, 4 (2009), 523–537.
• Ufimtsev, I.S. and Martinez, T.J. Quantum chemistry on graphical processing units. Strategies for two-electron integral evaluation. Journal of Chemical Theory and Computation 4, 2 (2008), 222–231.
• Adapting a message-driven parallel application to GPU-accelerated clusters. James C. Phillips, John E. Stone, and Klaus Schulten. In SC '08: Proceedings of the 2008 ACM/IEEE Conference on Supercomputing, Piscataway, NJ, USA, 2008. IEEE Press.
• GPU acceleration of cutoff pair potentials for molecular modeling applications. Christopher I. Rodrigues, David J. Hardy, John E. Stone, Klaus Schulten, and Wen-mei W. Hwu. In CF'08: Proceedings of the 2008 conference on Computing Frontiers, pp. 273-282, New York, NY, USA, 2008. ACM.
• GPU computing. John D. Owens, Mike Houston, David Luebke, Simon Green, John E. Stone, and James C. Phillips. Proceedings of the IEEE, 96:879-899, 2008.
• Anderson, J.A., Lorenz, C.D., and Travesset, A. General-purpose molecular dynamics simulations fully implemented on graphics processing units. Journal of Chemical Physics 227, 10 (2008), 5342–5359.
• Elsen, E., Vishal, V., Houston, M., Pande, V., Hanrahan, P., and Darve, E. N-body simulations on GPUs. Technical Report, Stanford University (June 2007); http://arxiv.org/abs/0706.3060.
• Continuous fluorescence microphotolysis and correlation spectroscopy using 4Pi microscopy. Anton Arkhipov, Jana Hüve, Martin Kahms, Reiner Peters, and Klaus Schulten. Biophysical Journal, 93:4006-4017, 2007.
• Accelerating molecular modeling applications with graphics processors. John E. Stone, James C. Phillips, Peter L. Freddolino, David J. Hardy, Leonardo G. Trabuco, and Klaus Schulten. Journal of Computational Chemistry, 28:2618-2640, 2007.

The GPU Test Drive: Run Molecular Dynamics Faster

 Attention AMBER, GROMACS, and NAMD users: NVIDIA is running a program for you to simulate your molecule on a workstation accelerated using Tesla GPUs.  This free, limited-time offer allows you to see how much faster your model will run on GPUs.

Find out full details at:www.nvidia.com/MD_Test_Drive

Get CUDA Certified

NVIDIA has launched its first CUDA Certification program.

Be one of the first Certified CUDA Programmers - find out the full details at www.nvidia.com/certification

This exam tests candidates CUDA C programming and optimization skills. This 3 hour test can be taken at over 6500 test centers in over 165 countries.

Discounts are available for companies planning to certify 6 engineers or more. General questions or applications for bulk discounts can be addressed to certification@nvidia.com