Abstract
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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Acknowledgements
The initial library (one billion of compounds) was prepared with the generous help of Microsoft that donated computational resources in the Azure cloud platform [6]. COVID.SI team is grateful and looking forward to future collaborations.
We wholeheartedly thank all BOINC participants for their contributions.
Funding
This work was partly supported by the Scholarship of the President of the Russian Federation for young scientists and graduate students (project SP-609.2021.5); the Slovenian Ministry of Science and Education infrastructure project grant HPC-RIVR; the Slovenian Research Agency (ARRS) programme P2-0046 and J1-2471, the Physical Chemistry programme grant P1-0201; Slovenian Ministry of Education, Science and Sports programme grant OP20.04342.
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Nikitina, N., Manzyuk, M., Podlipnik, Č., Jukić, M. (2021). Performance Estimation of a BOINC-Based Desktop Grid for Large-Scale Molecular Docking. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2021. Lecture Notes in Computer Science(), vol 12942. Springer, Cham. https://doi.org/10.1007/978-3-030-86359-3_26
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DOI: https://doi.org/10.1007/978-3-030-86359-3_26
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