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Lecture Notes in Computer Science
,  страницы 348-356

Performance Estimation of a BOINC-Based Desktop Grid for Large-Scale Molecular Docking

Тип публикации: Book Chapter
Дата публикации: 2021-09-06
Springer Nature
scimago Q2
SJR: 0.352
CiteScore: 2.4
Impact factor: —
ISSN: 03029743, 16113349, 18612075, 18612083
Краткое описание
This paper addresses the performance evaluation of a heterogeneous distributed computing environment (Desktop Grid) for large-scale medicinal chemistry experiments in silico. Dynamic change of the set of computational nodes, their heterogeneity and unreliability impose difficulties on task scheduling and algorithm scaling. We analyze the performance, provide efficiency metrics, statistics and analysis of the volunteer computing project SiDock@home.
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Nikitina N. et al. Performance Estimation of a BOINC-Based Desktop Grid for Large-Scale Molecular Docking // Lecture Notes in Computer Science. 2021. pp. 348-356.
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Nikitina N., Manzyuk M., Podlipnik Č., Jukic M. Performance Estimation of a BOINC-Based Desktop Grid for Large-Scale Molecular Docking // Lecture Notes in Computer Science. 2021. pp. 348-356.
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TY - GENERIC
DO - 10.1007/978-3-030-86359-3_26
UR - https://doi.org/10.1007/978-3-030-86359-3_26
TI - Performance Estimation of a BOINC-Based Desktop Grid for Large-Scale Molecular Docking
T2 - Lecture Notes in Computer Science
AU - Nikitina, Natalia
AU - Manzyuk, Maxim
AU - Podlipnik, Črtomir
AU - Jukic, Marko
PY - 2021
DA - 2021/09/06
PB - Springer Nature
SP - 348-356
SN - 0302-9743
SN - 1611-3349
SN - 1861-2075
SN - 1861-2083
ER -
BibTex
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@incollection{2021_Nikitina,
author = {Natalia Nikitina and Maxim Manzyuk and Črtomir Podlipnik and Marko Jukic},
title = {Performance Estimation of a BOINC-Based Desktop Grid for Large-Scale Molecular Docking},
publisher = {Springer Nature},
year = {2021},
pages = {348--356},
month = {sep}
}