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UNRES-GPU for physics-based coarse-grained simulations of protein systems at biological time- and size-scales
SUMMARY: The UNited RESisdue (UNRES) package for coarse-grained simulations, which has recently been optimized to treat large protein systems, has been implemented on Graphical Processor Units (GPUs). An over 100-time speed-up of the GPU code (run on an NVIDIA A100) with respect to the sequential co...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10307937/ https://www.ncbi.nlm.nih.gov/pubmed/37338530 http://dx.doi.org/10.1093/bioinformatics/btad391 |
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author | Ocetkiewicz, Krzysztof M Czaplewski, Cezary Krawczyk, Henryk Lipska, Agnieszka G Liwo, Adam Proficz, Jerzy Sieradzan, Adam K Czarnul, Paweł |
author_facet | Ocetkiewicz, Krzysztof M Czaplewski, Cezary Krawczyk, Henryk Lipska, Agnieszka G Liwo, Adam Proficz, Jerzy Sieradzan, Adam K Czarnul, Paweł |
author_sort | Ocetkiewicz, Krzysztof M |
collection | PubMed |
description | SUMMARY: The UNited RESisdue (UNRES) package for coarse-grained simulations, which has recently been optimized to treat large protein systems, has been implemented on Graphical Processor Units (GPUs). An over 100-time speed-up of the GPU code (run on an NVIDIA A100) with respect to the sequential code and an 8.5 speed-up with respect to the parallel Open Multi-Processing (OpenMP) code (run on 32 cores of 2 AMD EPYC 7313 Central Processor Units (CPUs)) has been achieved for large proteins (with size over 10 000 residues). Due to the averaging over the fine-grain degrees of freedom, 1 time unit of UNRES simulations is equivalent to about 1000 time units of laboratory time; therefore, millisecond time scale of large protein systems can be reached with the UNRES-GPU code. AVAILABILITY AND IMPLEMENTATION: The source code of UNRES-GPU along with the benchmarks used for tests is available at https://projects.task.gda.pl/eurohpcpl-public/unres. |
format | Online Article Text |
id | pubmed-10307937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103079372023-06-30 UNRES-GPU for physics-based coarse-grained simulations of protein systems at biological time- and size-scales Ocetkiewicz, Krzysztof M Czaplewski, Cezary Krawczyk, Henryk Lipska, Agnieszka G Liwo, Adam Proficz, Jerzy Sieradzan, Adam K Czarnul, Paweł Bioinformatics Applications Note SUMMARY: The UNited RESisdue (UNRES) package for coarse-grained simulations, which has recently been optimized to treat large protein systems, has been implemented on Graphical Processor Units (GPUs). An over 100-time speed-up of the GPU code (run on an NVIDIA A100) with respect to the sequential code and an 8.5 speed-up with respect to the parallel Open Multi-Processing (OpenMP) code (run on 32 cores of 2 AMD EPYC 7313 Central Processor Units (CPUs)) has been achieved for large proteins (with size over 10 000 residues). Due to the averaging over the fine-grain degrees of freedom, 1 time unit of UNRES simulations is equivalent to about 1000 time units of laboratory time; therefore, millisecond time scale of large protein systems can be reached with the UNRES-GPU code. AVAILABILITY AND IMPLEMENTATION: The source code of UNRES-GPU along with the benchmarks used for tests is available at https://projects.task.gda.pl/eurohpcpl-public/unres. Oxford University Press 2023-06-20 /pmc/articles/PMC10307937/ /pubmed/37338530 http://dx.doi.org/10.1093/bioinformatics/btad391 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Ocetkiewicz, Krzysztof M Czaplewski, Cezary Krawczyk, Henryk Lipska, Agnieszka G Liwo, Adam Proficz, Jerzy Sieradzan, Adam K Czarnul, Paweł UNRES-GPU for physics-based coarse-grained simulations of protein systems at biological time- and size-scales |
title | UNRES-GPU for physics-based coarse-grained simulations of protein systems at biological time- and size-scales |
title_full | UNRES-GPU for physics-based coarse-grained simulations of protein systems at biological time- and size-scales |
title_fullStr | UNRES-GPU for physics-based coarse-grained simulations of protein systems at biological time- and size-scales |
title_full_unstemmed | UNRES-GPU for physics-based coarse-grained simulations of protein systems at biological time- and size-scales |
title_short | UNRES-GPU for physics-based coarse-grained simulations of protein systems at biological time- and size-scales |
title_sort | unres-gpu for physics-based coarse-grained simulations of protein systems at biological time- and size-scales |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10307937/ https://www.ncbi.nlm.nih.gov/pubmed/37338530 http://dx.doi.org/10.1093/bioinformatics/btad391 |
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