Nvidia Tesla
Enter the era of accelerated computing with NVIDIA® Tesla® K20 GPU Accelerators and speed up your application performance by up to 10x. They're powered by NVIDIA CUDA®—the world's most pervasive parallel-computing model. Plus, they take advantage of the NVIDIA Kepler™ architecture and innovative technologies like Dynamic Parallelism and Hyper-Q to boost both performance and power efficiency.
GPUs and Visual Molecular Dynamics (VMD)
UCLA Uses GPUs for Research Computing
Amber and GPUs
Silicon Valley HPC and GPU Meetup
Gromacs and GPUs
Teaching Parallel Programing, CUDA
Using GPUs in Physics and Astronomy
GPU Computing and Machine Learning
Luciad Uses NVIDIA GPUs to Run Analysis 75x Faster (video)
Kayla Platform Demo (video)
Protein Folding Simulation with AMBER Accelerated with GPUs
Simulation of Oil Flow in a Hybrid Engine Gearbox with GPU Acceleration
GPGPU Development for Financial Services using NVIDIA Parallel Nsight™ and Microsoft Visual Studio
GPU Supercomputers on Green500
NVIDIA Tesla GPUs Power IBM Servers to Accelerate Seismic Exploration
NVIDIA Tesla GPUs Power New IBM Servers
John Stone on using GPUs for VMD
The Computational Science Behind Shampoo
Paul Crozier on using GPUs for LAMMPS
Jeff Vetter @ SC09
Ross Walker on using GPUs for AMBER
Klaus Schulten SC09
Dr. Jack Dongarra SC09
Andy Keane Wrap-up SC09
NVIDIA Discusses GPU Computing Developer Ecosystem @ SC09
Prof. Wu Feng of Virginia Tech talks about their use of GPU Computing @ SC09
Los Alamos National Lab talks about their use of GPU Computing @ SC09
Introducing the Next Generate CUDA GPU Architecture, Code Named "Fermi"
GPUs Deliver 25X Speed Up for Physics and Energy Research at University of Maryland
Oxford University Observes 50X Faster Computational Finance Calculations with GPUs