Abstract
We have developed CUDA-enabled version of a general purpose molecular dynamics simulation code for GPU. Implementation details including parallelization scheme and performance optimization are described. Here we have focused on the non-bonded force calculation because it is most time consuming part in molecular dynamics simulation. Timing results using CUDA-enabled and CPU versions were obtained and compared for a biomolecular system containing 23558 atoms. CUDA-enabled versions were found to be faster than CPU version. This suggests that GPU could be a useful hardware for molecular dynamics simulation.
Original language | English |
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Pages (from-to) | 3639-3643 |
Number of pages | 5 |
Journal | Bulletin of the Korean Chemical Society |
Volume | 31 |
Issue number | 12 |
DOIs | |
Publication status | Published - 2010 Dec 20 |
Keywords
- Biomolecules
- GPU
- Molecular dynamics simulation
- Parallel computing
ASJC Scopus subject areas
- Chemistry(all)