Harvesting graphics power for MD simulations
Jacobus A. van Meel, Axel Arnold, Daan Frenkel, Simon Portegies Zwart, Robert G. Belleman
Abstract
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Jacobus A. van Meel, Axel Arnold, Daan Frenkel, Simon Portegies Zwart, Robert G. Belleman
Abstract
Open-access reader
We discuss an implementation of molecular dynamics (MD) simulations on a graphic processing unit (GPU) in the NVIDIA CUDA language. We tested our code on a modern GPU, the NVIDIA GeForce 8800 GTX. Results for two MD algorithms suitable for short-ranged and long-ranged interactions, and a congruential shift random number generator are presented. The performance of the GPU's is compared to their main processor counterpart. We achieve speedups of up to 40, 80 and 150 fold, respectively. With the latest generation of GPU's one can run standard MD simulations at 107 flops/$.
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We discuss an implementation of molecular dynamics (MD) simulations on a graphic processing unit (GPU) in the NVIDIA CUDA language. We tested our code on a modern GPU, the NVIDIA GeForce 8800 GTX. Results for two MD algorithms suitable for short-ranged and long-ranged interactions, and a congruential shift random number generator are presented. The performance of the GPU's is compared to their main processor counterpart. We achieve speedups of up to 40, 80 and 150 fold, respectively. With the latest generation of GPU's one can run standard MD simulations at 107 flops/$.
Key concepts: CUDA, Computer science, Graphics processing unit, Parallel computing, General-purpose computing on graphics processing units, Graphics, FLOPS, Computational science