Open Access
,
pages 324-334
Performance and Portability of State-of-Art Molecular Dynamics Software on Modern GPUs
Evgeny Kuznetsov
1
,
Nikolay D. Kondratyuk
1, 2, 3
,
Mikhail V. Logunov
2, 3
,
Vsevolod Nikolskiy
1, 2
,
Vladimir V. Stegailov
1, 2, 3
Publication type: Book Chapter
Publication date: 2020-03-19
scimago Q2
SJR: 0.352
CiteScore: 2.4
Impact factor: —
ISSN: 03029743, 16113349, 18612075, 18612083
Abstract
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.
Found
Nothing found, try to update filter.
Found
Nothing found, try to update filter.
Top-30
Journals
|
1
|
|
|
International Journal of High Performance Computing Applications
1 publication, 50%
|
|
|
Computer Physics Communications
1 publication, 50%
|
|
|
1
|
Publishers
|
1
|
|
|
SAGE
1 publication, 50%
|
|
|
Elsevier
1 publication, 50%
|
|
|
1
|
- We do not take into account publications without a DOI.
- Statistics recalculated weekly.
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
2
Total citations:
2
Citations from 2025:
1
(50%)
The most citing journal
Citations in journal:
1
Cite this
GOST |
RIS |
BibTex
Cite this
GOST
Copy
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.
GOST all authors (up to 50)
Copy
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.
Cite this
RIS
Copy
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 -
Cite this
BibTex (up to 50 authors)
Copy
@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}
}