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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, Pawel.
Afiliación
  • Ocetkiewicz KM; Centre of Informatics Tricity Academic Supercomputer and Network (CI TASK), Gdansk University of Technology, Fahrenheit Union of Universities in Gdansk, Gdansk 80-233, Poland.
  • Czaplewski C; Centre of Informatics Tricity Academic Supercomputer and Network (CI TASK), Gdansk University of Technology, Fahrenheit Union of Universities in Gdansk, Gdansk 80-233, Poland.
  • Krawczyk H; Faculty of Chemistry, University of Gdansk, Fahrenheit Union of Universities in Gdansk, Gdansk 80-309, Poland.
  • Lipska AG; Centre of Informatics Tricity Academic Supercomputer and Network (CI TASK), Gdansk University of Technology, Fahrenheit Union of Universities in Gdansk, Gdansk 80-233, Poland.
  • Liwo A; Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Fahrenheit Union of Universities in Gdansk, Gdansk 80-233, Poland.
  • Proficz J; Centre of Informatics Tricity Academic Supercomputer and Network (CI TASK), Gdansk University of Technology, Fahrenheit Union of Universities in Gdansk, Gdansk 80-233, Poland.
  • Sieradzan AK; Centre of Informatics Tricity Academic Supercomputer and Network (CI TASK), Gdansk University of Technology, Fahrenheit Union of Universities in Gdansk, Gdansk 80-233, Poland.
  • Czarnul P; Faculty of Chemistry, University of Gdansk, Fahrenheit Union of Universities in Gdansk, Gdansk 80-309, Poland.
Bioinformatics ; 39(6)2023 06 01.
Article en En | MEDLINE | ID: mdl-37338530
ABSTRACT

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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Polonia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Polonia
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