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том 9251 страницы 469-473

HPC hardware efficiency for quantum and classical molecular dynamics

Тип публикацииBook Chapter
Дата публикации2015-07-24
SCImago Q2
SJR0.393
CiteScore3.1
Impact factor
ISSN03029743, 16113349, 18612075, 18612083
Краткое описание
Development of new HPC architectures proceeds faster than the corresponding adjustment of the algorithms for such fundamental mathematical models as quantum and classical molecular dynamics. There is the need for clear guiding criteria for the computational efficiency of a particular model on a particular hardware. LINPACK benchmark alone can no longer serve this role. In this work we consider a practical metric of the time-to-solution versus the computational peak performance of a given hardware system. In this metric we compare different hardware for the CP2K and LAMMPS software packages widely used for atomistic modeling. The metric considered can serve as a universal unambiguous scale that ranges different types of supercomputers.
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ГОСТ |
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Stegailov V. V. et al. HPC hardware efficiency for quantum and classical molecular dynamics // Lecture Notes in Computer Science. 2015. Vol. 9251. pp. 469-473.
ГОСТ со всеми авторами (до 50) Скопировать
Stegailov V. V., Orekhov N. D., Smirnov G. S. HPC hardware efficiency for quantum and classical molecular dynamics // Lecture Notes in Computer Science. 2015. Vol. 9251. pp. 469-473.
RIS |
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TY - GENERIC
DO - 10.1007/978-3-319-21909-7_45
UR - https://link.springer.com/10.1007/978-3-319-21909-7_45
TI - HPC hardware efficiency for quantum and classical molecular dynamics
T2 - Lecture Notes in Computer Science
AU - Stegailov, Vladimir V
AU - Orekhov, Nikita D
AU - Smirnov, Grigory S
PY - 2015
DA - 2015/07/24
PB - Springer Nature
SP - 469-473
VL - 9251
SN - 0302-9743
SN - 1611-3349
SN - 1861-2075
SN - 1861-2083
ER -
BibTex
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BibTex (до 50 авторов) Скопировать
@incollection{2015_Stegailov,
author = {Vladimir V Stegailov and Nikita D Orekhov and Grigory S Smirnov},
title = {HPC hardware efficiency for quantum and classical molecular dynamics},
publisher = {Springer Nature},
year = {2015},
volume = {9251},
pages = {469--473},
month = {jul}
}
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