2010/01/21 by Ji Xu, Xu, Ji, Ying Ren +9
Computer Science · #Computational Physics (physics.comp-ph) #Distributed and Parallel Computing Systems #FOS: Physical sciences #Graph Theory and Algorithms #Materials Science (cond-mat.mtrl-sci) #Parallel Computing and Optimization Techniques #Soft Condensed Matter (cond-mat.soft)
paper · pdf · doi:10.48550/arxiv.1001.3764
openalex publication_date 2010/01/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Molecular dynamics (MD) simulation is a powerful computational tool to study the behavior of macromolecular systems. But many simulations of this field are limited in spatial or temporal scale by the available computational resource. In recent years, graphics processing unit (GPU) provides unprecedented computational power for scientific applications. Many MD algorithms suit with the multithread nature of GPU. In this paper, MD algorithms for macromolecular systems that run entirely on GPU are presented. Compared to the MD simulation with free software GROMACS on a single CPU core, our codes achieve about 10 times speed-up on a single GPU. For validation, we have performed MD simulations of polymer crystallization on GPU, and the results observed perfectly agree with computations on CPU. Therefore, our single GPU codes have already provided an inexpensive alternative for macromolecular simulations on traditional CPU clusters and they can also be used as a basis to develop parallel GPU programs to further speedup the computations.