共 8 条
Gromacs: High performance molecular simulations through multi-level parallelism from laptops to supercomputers
被引:15579
|作者:
Abraham, Mark James
[1
]
Murtola, Teemu
[4
]
Schulz, Roland
[2
,3
]
Páll, Szilárd
[1
]
Smith, Jeremy C.
[2
,3
]
Hess, Berk
[1
]
Lindah, Erik
[1
,4
]
机构:
[1] Theoretical Biophysics, Science for Life Laboratory, KTH Royal Institute of Technology, Solna
[2] Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, 37831, TN
[3] Department of Biochemistry and Cellular and Molecular Biology, University of Tennessee, M407 Walters Life Sciences, 1414 Cumberland Avenue, Knoxville, 37996, TN
[4] Center for Biomembrane Research, Department of Biochemistry and Biophysics, Stockholm University, Stockholm
来源:
SoftwareX
|
2015年
/
1-2卷
基金:
欧洲研究理事会;
关键词:
Free energy;
Gpu;
Molecular dynamics;
Simd;
D O I:
10.1016/j.softx.2015.06.001
中图分类号:
学科分类号:
摘要:
GROMACS is one of the most widely used open-source and free software codes in chemistry, used primarily for dynamical simulations of biomolecules. It provides a rich set of calculation types, preparation and analysis tools. Several advanced techniques for free-energy calculations are supported. In version 5, it reaches new performance heights, through several new and enhanced parallelization algorithms. These work on every level; SIMD registers inside cores, multithreading, heterogeneous CPU-GPU acceleration, state-of-the-art 3D domain decomposition, and ensemble-level parallelization through built-in replica exchange and the separate Copernicus framework. The latest best-in-class compressed trajectory storage format is supported. © 2015 The Authors.
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页码:19 / 25
页数:6
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