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Application porting optimization on heterogeneous systems. / Storublevtcev, Nikita; Korkhov, Vladimir; Beloshapko, Alexey; Bogdanov, Alexander.

в: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том 10963, 04.07.2018, стр. 25-40.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Storublevtcev, N, Korkhov, V, Beloshapko, A & Bogdanov, A 2018, 'Application porting optimization on heterogeneous systems', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 10963, стр. 25-40. https://doi.org/10.1007/978-3-319-95171-3_3

APA

Storublevtcev, N., Korkhov, V., Beloshapko, A., & Bogdanov, A. (2018). Application porting optimization on heterogeneous systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10963, 25-40. https://doi.org/10.1007/978-3-319-95171-3_3

Vancouver

Storublevtcev N, Korkhov V, Beloshapko A, Bogdanov A. Application porting optimization on heterogeneous systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018 Июль 4;10963:25-40. https://doi.org/10.1007/978-3-319-95171-3_3

Author

Storublevtcev, Nikita ; Korkhov, Vladimir ; Beloshapko, Alexey ; Bogdanov, Alexander. / Application porting optimization on heterogeneous systems. в: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018 ; Том 10963. стр. 25-40.

BibTeX

@article{5452eb4fcd5543bf9a6e3a91a94cffbd,
title = "Application porting optimization on heterogeneous systems",
abstract = "Modern heterogeneous computer systems offer an exceptional computational potential, but require specific knowledge and experience on the part of the programmer to fully realize it. In this paper we explore different approaches to the task of adapting an application to the heterogeneous computer system. We provide performance evaluation of the test application ported using those approaches. We also evaluate the difficulty and time investment required to implement those approaches in relation to performance improvements they offer.",
keywords = "Computing, CUDA, Heterogeneous, Performance",
author = "Nikita Storublevtcev and Vladimir Korkhov and Alexey Beloshapko and Alexander Bogdanov",
year = "2018",
month = jul,
day = "4",
doi = "10.1007/978-3-319-95171-3_3",
language = "English",
volume = "10963",
pages = "25--40",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Nature",
note = "18th International Conference on Computational Science and Its Applications, ICCSA 2018 ; Conference date: 02-07-2018 Through 05-07-2018",

}

RIS

TY - JOUR

T1 - Application porting optimization on heterogeneous systems

AU - Storublevtcev, Nikita

AU - Korkhov, Vladimir

AU - Beloshapko, Alexey

AU - Bogdanov, Alexander

PY - 2018/7/4

Y1 - 2018/7/4

N2 - Modern heterogeneous computer systems offer an exceptional computational potential, but require specific knowledge and experience on the part of the programmer to fully realize it. In this paper we explore different approaches to the task of adapting an application to the heterogeneous computer system. We provide performance evaluation of the test application ported using those approaches. We also evaluate the difficulty and time investment required to implement those approaches in relation to performance improvements they offer.

AB - Modern heterogeneous computer systems offer an exceptional computational potential, but require specific knowledge and experience on the part of the programmer to fully realize it. In this paper we explore different approaches to the task of adapting an application to the heterogeneous computer system. We provide performance evaluation of the test application ported using those approaches. We also evaluate the difficulty and time investment required to implement those approaches in relation to performance improvements they offer.

KW - Computing

KW - CUDA

KW - Heterogeneous

KW - Performance

UR - http://www.scopus.com/inward/record.url?scp=85049948473&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-95171-3_3

DO - 10.1007/978-3-319-95171-3_3

M3 - Article

AN - SCOPUS:85049948473

VL - 10963

SP - 25

EP - 40

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

T2 - 18th International Conference on Computational Science and Its Applications, ICCSA 2018

Y2 - 2 July 2018 through 5 July 2018

ER -

ID: 35284401