Are Gaming-Enabled Graphic Processing Unit Cards Convenient for Molecular Dynamics Simulation?

Author:

Biagini Tommaso1,Petrizzelli Francesco1,Truglio Mauro1,Cespa Roberto2,Barbieri Alessandro34,Capocefalo Daniele1,Castellana Stefano1,Tevy Maria Florencia5,Carella Massimo6,Mazza Tommaso1ORCID

Affiliation:

1. Bioinformatics Unit, IRCCS Casa Sollievo della Sofferenza, Roma, Italy

2. ICT, Innovation and Research Unit, IRCCS Casa Sollievo della Sofferenza, Roma, Italy

3. School of Biology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK

4. Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore

5. Genomic Engineering, Design and Innovative Solutions in Biotechnology (GEDIS Biotech), Santiago, Chile

6. Division of Medical Genetics, IRCCS Casa Sollievo della Sofferenza, Roma, Italy

Abstract

In several fields of research, molecular dynamics simulation techniques are exploited to evaluate the temporal motion of particles constituting water, ions, small molecules, macromolecules, or more complex systems over time. These techniques are considered difficult to setup, computationally demanding and require high specialization and scientific skills. Moreover, they need specialized computing infrastructures to run faster and make the simulation of big systems feasible. Here, we have simulated 3 systems of increasing sizes on scientific- and gaming-enabled graphic processing unit (GPU) cards with Amber, GROMACS, and NAMD and measured their performance accounting also for the market prices of the GPU cards where they were run on.

Funder

Italian Ministry of Health

Publisher

SAGE Publications

Subject

Computer Science Applications,Genetics,Ecology, Evolution, Behavior and Systematics

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