,
pages 218-229
Hybrid Codes for Atomistic Simulations on the Desmos Supercomputer: GPU-acceleration, Scalability and Parallel I/O
Publication type: Book Chapter
Publication date: 2018-12-31
scimago Q4
SJR: 0.182
CiteScore: 1.1
Impact factor: —
ISSN: 18650929, 18650937
Abstract
In this paper, we compare different GPU accelerators and algorithms for classical molecular dynamics using LAMMPS and GROMACS codes. BigDFT is considered as an example of the modern ab initio code that implements the density functional theory algorithms in the wavelet basis and uses effectively GPU acceleration. Efficiency of distributed storage managed by the BeeGFS parallel file system is analysed with respect to saving of large molecular-dynamics trajectories. Results have been obtained using the Desmos supercomputer in JIHT RAS.
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Kondratyuk N. et al. Hybrid Codes for Atomistic Simulations on the Desmos Supercomputer: GPU-acceleration, Scalability and Parallel I/O // Communications in Computer and Information Science. 2018. pp. 218-229.
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Kondratyuk N., Smirnov G., Stegailov V. Hybrid Codes for Atomistic Simulations on the Desmos Supercomputer: GPU-acceleration, Scalability and Parallel I/O // Communications in Computer and Information Science. 2018. pp. 218-229.
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TY - GENERIC
DO - 10.1007/978-3-030-05807-4_19
UR - http://link.springer.com/10.1007/978-3-030-05807-4_19
TI - Hybrid Codes for Atomistic Simulations on the Desmos Supercomputer: GPU-acceleration, Scalability and Parallel I/O
T2 - Communications in Computer and Information Science
AU - Kondratyuk, Nikolay
AU - Smirnov, Grigory
AU - Stegailov, Vladimir
PY - 2018
DA - 2018/12/31
PB - Springer Nature
SP - 218-229
SN - 1865-0929
SN - 1865-0937
ER -
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@incollection{2018_Kondratyuk,
author = {Nikolay Kondratyuk and Grigory Smirnov and Vladimir Stegailov},
title = {Hybrid Codes for Atomistic Simulations on the Desmos Supercomputer: GPU-acceleration, Scalability and Parallel I/O},
publisher = {Springer Nature},
year = {2018},
pages = {218--229},
month = {dec}
}