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Design and implementation of a service for performing HPC computations in cloud environment. / Kuchumov, R. I.; Korkhov, V. V.

Proceedings of the VIII International Conference "Distributed Computing and Grid-technologies in Science and Education" (GRID 2018). Vol. 2267 2018. p. 233-236 (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Kuchumov, RI & Korkhov, VV 2018, Design and implementation of a service for performing HPC computations in cloud environment. in Proceedings of the VIII International Conference "Distributed Computing and Grid-technologies in Science and Education" (GRID 2018). vol. 2267, CEUR Workshop Proceedings, pp. 233-236, 8th International Conference "Distributed Computing and Grid-Technologies in Science and Education", GRID 2018, Dubna, Russian Federation, 10/09/18.

APA

Kuchumov, R. I., & Korkhov, V. V. (2018). Design and implementation of a service for performing HPC computations in cloud environment. In Proceedings of the VIII International Conference "Distributed Computing and Grid-technologies in Science and Education" (GRID 2018) (Vol. 2267, pp. 233-236). (CEUR Workshop Proceedings).

Vancouver

Kuchumov RI, Korkhov VV. Design and implementation of a service for performing HPC computations in cloud environment. In Proceedings of the VIII International Conference "Distributed Computing and Grid-technologies in Science and Education" (GRID 2018). Vol. 2267. 2018. p. 233-236. (CEUR Workshop Proceedings).

Author

Kuchumov, R. I. ; Korkhov, V. V. / Design and implementation of a service for performing HPC computations in cloud environment. Proceedings of the VIII International Conference "Distributed Computing and Grid-technologies in Science and Education" (GRID 2018). Vol. 2267 2018. pp. 233-236 (CEUR Workshop Proceedings).

BibTeX

@inproceedings{cc920b136c7944a99bf6555e717b8733,
title = "Design and implementation of a service for performing HPC computations in cloud environment",
abstract = "Cloud computing became a routine tool for scientists in many domains. In order to speed up achievement of scientific results a cloud service for execution of distributed applications was developed. It obviates users from creating and configuring virtual cluster environment manually or using batch scheduler and allows them only to specify input parameters to perform their computations. One of the key parameters that this service aims to help users with is virtual cluster configuration. For most applications it is difficult to tell the optimal number of cluster nodes, amounts of their threads per node and memory so that application would have minimal execution time. In this work an approach to optimization of cluster configuration is proposed and software system for launching HPC application in a cloud is presented.",
keywords = "Cloud computing, High performance computing, Software as a service",
author = "Kuchumov, {R. I.} and Korkhov, {V. V.}",
year = "2018",
month = dec,
day = "1",
language = "English",
volume = "2267",
series = "CEUR Workshop Proceedings",
publisher = "RWTH Aahen University",
pages = "233--236",
booktitle = "Proceedings of the VIII International Conference {"}Distributed Computing and Grid-technologies in Science and Education{"} (GRID 2018)",
note = "8th International Conference {"}Distributed Computing and Grid-Technologies in Science and Education{"}, GRID 2018 ; Conference date: 10-09-2018 Through 14-09-2018",

}

RIS

TY - GEN

T1 - Design and implementation of a service for performing HPC computations in cloud environment

AU - Kuchumov, R. I.

AU - Korkhov, V. V.

PY - 2018/12/1

Y1 - 2018/12/1

N2 - Cloud computing became a routine tool for scientists in many domains. In order to speed up achievement of scientific results a cloud service for execution of distributed applications was developed. It obviates users from creating and configuring virtual cluster environment manually or using batch scheduler and allows them only to specify input parameters to perform their computations. One of the key parameters that this service aims to help users with is virtual cluster configuration. For most applications it is difficult to tell the optimal number of cluster nodes, amounts of their threads per node and memory so that application would have minimal execution time. In this work an approach to optimization of cluster configuration is proposed and software system for launching HPC application in a cloud is presented.

AB - Cloud computing became a routine tool for scientists in many domains. In order to speed up achievement of scientific results a cloud service for execution of distributed applications was developed. It obviates users from creating and configuring virtual cluster environment manually or using batch scheduler and allows them only to specify input parameters to perform their computations. One of the key parameters that this service aims to help users with is virtual cluster configuration. For most applications it is difficult to tell the optimal number of cluster nodes, amounts of their threads per node and memory so that application would have minimal execution time. In this work an approach to optimization of cluster configuration is proposed and software system for launching HPC application in a cloud is presented.

KW - Cloud computing

KW - High performance computing

KW - Software as a service

UR - http://www.scopus.com/inward/record.url?scp=85060115680&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85060115680

VL - 2267

T3 - CEUR Workshop Proceedings

SP - 233

EP - 236

BT - Proceedings of the VIII International Conference "Distributed Computing and Grid-technologies in Science and Education" (GRID 2018)

T2 - 8th International Conference "Distributed Computing and Grid-Technologies in Science and Education", GRID 2018

Y2 - 10 September 2018 through 14 September 2018

ER -

ID: 36505468