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On porting of applications to new heterogeneous systems. / Bogdanov, Alexander; Storublevtcev, Nikita; Mareev, Vladimir.

в: CEUR Workshop Proceedings, Том 2267, 2018, стр. 328-332.

Результаты исследований: Научные публикации в периодических изданияхстатья в журнале по материалам конференцииРецензирование

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Bogdanov, A, Storublevtcev, N & Mareev, V 2018, 'On porting of applications to new heterogeneous systems', CEUR Workshop Proceedings, Том. 2267, стр. 328-332.

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@article{7b91f835fe8142a3821cd3aac4bad947,
title = "On porting of applications to new heterogeneous systems",
abstract = "Porting applications to GPU-based heterogeneous systems is far from a trivial task. Those systems offer exceptional performance potential, but require specific knowledge to utilize correctly. The basic tools do not offer the level of abstraction to make GPU easy to use for a non-specialist. Many external tools aimed to correct that problem. In this paper we categorize them in broad terms, compare them to the use of the base GPGPU technologies, and discuss their future potential.",
keywords = "GPU, Heterogeneous, High performance computing, Optimization, Parallelization, Porting",
author = "Alexander Bogdanov and Nikita Storublevtcev and Vladimir Mareev",
note = "Publisher Copyright: {\textcopyright} 2018 Alexander Bogdanov, Nikita Storublevtcev, Vladimir Mareev.; 8th International Conference {"}Distributed Computing and Grid-Technologies in Science and Education{"}, GRID 2018 ; Conference date: 10-09-2018 Through 14-09-2018",
year = "2018",
language = "English",
volume = "2267",
pages = "328--332",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "RWTH Aahen University",

}

RIS

TY - JOUR

T1 - On porting of applications to new heterogeneous systems

AU - Bogdanov, Alexander

AU - Storublevtcev, Nikita

AU - Mareev, Vladimir

N1 - Publisher Copyright: © 2018 Alexander Bogdanov, Nikita Storublevtcev, Vladimir Mareev.

PY - 2018

Y1 - 2018

N2 - Porting applications to GPU-based heterogeneous systems is far from a trivial task. Those systems offer exceptional performance potential, but require specific knowledge to utilize correctly. The basic tools do not offer the level of abstraction to make GPU easy to use for a non-specialist. Many external tools aimed to correct that problem. In this paper we categorize them in broad terms, compare them to the use of the base GPGPU technologies, and discuss their future potential.

AB - Porting applications to GPU-based heterogeneous systems is far from a trivial task. Those systems offer exceptional performance potential, but require specific knowledge to utilize correctly. The basic tools do not offer the level of abstraction to make GPU easy to use for a non-specialist. Many external tools aimed to correct that problem. In this paper we categorize them in broad terms, compare them to the use of the base GPGPU technologies, and discuss their future potential.

KW - GPU

KW - Heterogeneous

KW - High performance computing

KW - Optimization

KW - Parallelization

KW - Porting

UR - http://www.scopus.com/inward/record.url?scp=85060101093&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85060101093

VL - 2267

SP - 328

EP - 332

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

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: 99411730