期刊
JOURNAL OF COMPUTATIONAL CHEMISTRY
卷 32, 期 3, 页码 375-385出版社
WILEY
DOI: 10.1002/jcc.21578
关键词
molecular dynamics; GPU; CUDA; liquid-vapor interface; water; sodium iodide
资金
- National Science Foundation [0941318, 0922657]
- U.S. Army [YIP54723-CS]
- Direct For Mathematical & Physical Scien
- Division Of Materials Research [0941318] Funding Source: National Science Foundation
- Division Of Chemistry
- Direct For Mathematical & Physical Scien [0922657] Funding Source: National Science Foundation
Molecular dynamics (MD) simulations are a vital tool in chemical research, as they are able to provide an atomistic view of chemical systems and processes that is not obtainable through experiment. However, large-scale MD simulations require access to multicore clusters or supercomputers that are not always available to all researchers. Recently, scientists have returned to exploring the power of graphics processing units (GPUs) for various applications, such as MD, enabled by the recent advances in hardware and integrated programming interfaces such as NVIDIA's CUDA platform. One area of particular interest within the context of chemical applications is that of aqueous interfaces, the salt solutions of which have found application as model systems for studying atmospheric process as well as physical behaviors such as the Hoffmeister effect. Here, we present results of GPU-accelerated simulations of the liquid-vapor interface of aqueous sodium iodide solutions. Analysis of various properties, such as density and surface tension, demonstrates that our model is consistent with previous studies of similar systems. In particular, we find that the current combination of water and ion force fields coupled with the ability to simulate surfaces of differing area enabled by GPU hardware is able to reproduce the experimental trend of increasing salt solution surface tension relative to pure water. In terms of performance, our GPU implementation performs equivalent to CHARMM running on 21 CPUs. Finally, we address possible issues with the accuracy of MD simulaions caused by nonstandard single-precision arithmetic implemented on current GPUs. (C) 2010 Wiley Periodicals, Inc. J Comput Chem 32: 375-385, 2011
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