## Abstract It is increasingly easy to develop software that exploits Graphics Processing Units (GPUs). The molecular dynamics simulation community has embraced this recent opportunity. Herein, we outline the current approaches that exploit this technology. In the context of biomolecular simulation
Accelerating molecular dynamic simulation on graphics processing units
✍ Scribed by Mark S. Friedrichs; Peter Eastman; Vishal Vaidyanathan; Mike Houston; Scott Legrand; Adam L. Beberg; Daniel L. Ensign; Christopher M. Bruns; Vijay S. Pande
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 624 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0192-8651
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
We describe a complete implementation of all‐atom protein molecular dynamics running entirely on a graphics processing unit (GPU), including all standard force field terms, integration, constraints, and implicit solvent. We discuss the design of our algorithms and important optimizations needed to fully take advantage of a GPU. We evaluate its performance, and show that it can be more than 700 times faster than a conventional implementation running on a single CPU core. © 2009 Wiley Periodicals, Inc. J Comput Chem, 2009
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