Highly accelerated simulations of glassy dynamics using GPUs: caveats on limited floating-point precision
| Autor: | Felix Höfling, Peter H. Colberg |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
FOS: Computer and information sciences
Emulation Floating point Speedup Interface (Java) Computer science FOS: Physical sciences General Physics and Astronomy Binary number Computational Physics (physics.comp-ph) Condensed Matter - Soft Condensed Matter Computational science Energy conservation Computer Science - Distributed Parallel and Cluster Computing Hardware and Architecture Soft Condensed Matter (cond-mat.soft) Distributed Parallel and Cluster Computing (cs.DC) Central processing unit General-purpose computing on graphics processing units Physics - Computational Physics |
| Popis: | Modern graphics processing units (GPUs) provide impressive computing resources, which can be accessed conveniently through the CUDA programming interface. We describe how GPUs can be used to considerably speed up molecular dynamics (MD) simulations for system sizes ranging up to about 1 million particles. Particular emphasis is put on the numerical long-time stability in terms of energy and momentum conservation, and caveats on limited floating-point precision are issued. Strict energy conservation over 10^8 MD steps is obtained by double-single emulation of the floating-point arithmetic in accuracy-critical parts of the algorithm. For the slow dynamics of a supercooled binary Lennard-Jones mixture, we demonstrate that the use of single-floating point precision may result in quantitatively and even physically wrong results. For simulations of a Lennard-Jones fluid, the described implementation shows speedup factors of up to 80 compared to a serial implementation for the CPU, and a single GPU was found to compare with a parallelised MD simulation using 64 distributed cores. 12 pages, 7 figures, to appear in Comp. Phys. Comm., HALMD package licensed under the GPL, see http://research.colberg.org/projects/halmd |
| Databáze: | OpenAIRE |
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