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Performance and Portability of State-of-Art Molecular Dynamics Software on Modern GPUs

Тип публикацииBook Chapter
Дата публикации2020-03-19
scimago Q2
SJR0.352
CiteScore2.4
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ISSN03029743, 16113349, 18612075, 18612083
Краткое описание
Classical molecular dynamics (MD) calculations represent a significant part of utilization time of high performance computing systems. As usual, efficiency of such calculations is based on an interplay of software and hardware that are nowadays moving to hybrid GPU-based technologies. Several well-developed MD packages focused on GPUs differ both in their data management capabilities and in performance. In this paper, we present our results for the porting of the CUDA backend of LAMMPS to ROCm HIP that shows considerable benefits for AMD GPUs comparatively to the existing OpenCL backend. We consider the efficiency of solving the same physical models using different software and hardware combinations. We analyze the performance of LAMMPS, HOOMD, GROMACS and OpenMM MD packages with different GPU back-ends on modern Nvidia Volta and AMD Vega20 GPUs.
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International Journal of High Performance Computing Applications
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Computer Physics Communications
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Kuznetsov E. et al. Performance and Portability of State-of-Art Molecular Dynamics Software on Modern GPUs // Lecture Notes in Computer Science. 2020. pp. 324-334.
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Kuznetsov E., Kondratyuk N. D., Logunov M. V., Nikolskiy V., Stegailov V. Performance and Portability of State-of-Art Molecular Dynamics Software on Modern GPUs // Lecture Notes in Computer Science. 2020. pp. 324-334.
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TY - GENERIC
DO - 10.1007/978-3-030-43229-4_28
UR - http://link.springer.com/10.1007/978-3-030-43229-4_28
TI - Performance and Portability of State-of-Art Molecular Dynamics Software on Modern GPUs
T2 - Lecture Notes in Computer Science
AU - Kuznetsov, Evgeny
AU - Kondratyuk, Nikolay D.
AU - Logunov, Mikhail V.
AU - Nikolskiy, Vsevolod
AU - Stegailov, Vladimir V.
PY - 2020
DA - 2020/03/19
PB - Springer Nature
SP - 324-334
SN - 0302-9743
SN - 1611-3349
SN - 1861-2075
SN - 1861-2083
ER -
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@incollection{2020_Kuznetsov,
author = {Evgeny Kuznetsov and Nikolay D. Kondratyuk and Mikhail V. Logunov and Vsevolod Nikolskiy and Vladimir V. Stegailov},
title = {Performance and Portability of State-of-Art Molecular Dynamics Software on Modern GPUs},
publisher = {Springer Nature},
year = {2020},
pages = {324--334},
month = {mar}
}