Standard

Control flow usage to improve performance of fragmented programs execution. / Malyshkin, V. E.; Perepelkin, V. A.; Tkacheva, A. A.

Parallel Computing Technologies - 13th International Conference, PaCT 2015, Proceedings. Том 9251 Springer-Verlag GmbH and Co. KG, 2015. стр. 86-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 9251).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Malyshkin, VE, Perepelkin, VA & Tkacheva, AA 2015, Control flow usage to improve performance of fragmented programs execution. в Parallel Computing Technologies - 13th International Conference, PaCT 2015, Proceedings. Том. 9251, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 9251, Springer-Verlag GmbH and Co. KG, стр. 86-90, 13th International Conference on Parallel Computing Technologies, PaCT 2015, Petrozavodsk, Российская Федерация, 30.08.2015. https://doi.org/10.1007/978-3-319-21909-7_9

APA

Malyshkin, V. E., Perepelkin, V. A., & Tkacheva, A. A. (2015). Control flow usage to improve performance of fragmented programs execution. в Parallel Computing Technologies - 13th International Conference, PaCT 2015, Proceedings (Том 9251, стр. 86-90). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 9251). Springer-Verlag GmbH and Co. KG. https://doi.org/10.1007/978-3-319-21909-7_9

Vancouver

Malyshkin VE, Perepelkin VA, Tkacheva AA. Control flow usage to improve performance of fragmented programs execution. в Parallel Computing Technologies - 13th International Conference, PaCT 2015, Proceedings. Том 9251. Springer-Verlag GmbH and Co. KG. 2015. стр. 86-90. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-21909-7_9

Author

Malyshkin, V. E. ; Perepelkin, V. A. ; Tkacheva, A. A. / Control flow usage to improve performance of fragmented programs execution. Parallel Computing Technologies - 13th International Conference, PaCT 2015, Proceedings. Том 9251 Springer-Verlag GmbH and Co. KG, 2015. стр. 86-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{6b31c893ea8b4e439908b1fbe79a18ad,
title = "Control flow usage to improve performance of fragmented programs execution",
abstract = "Dataflow-based systems of parallel programming, such as LuNA fragmented programming system, often lack efficiency in high performance computations due to a high degree of non-determinism of a parallel program execution and execution overhead it causes. The authors concern defining control flow in LuNA programs in order to optimize their execution performance. The basic idea is to aggregate several fragments of a program and to execute them under control flow, thus reducing both surplus parallelism and system overhead. Tests presented show effectiveness of the proposed approach.",
keywords = "Control flow, Fragmented programming technology, High performance computing, Luna fragmented programming system",
author = "Malyshkin, {V. E.} and Perepelkin, {V. A.} and Tkacheva, {A. A.}",
year = "2015",
doi = "10.1007/978-3-319-21909-7_9",
language = "English",
isbn = "9783319219080",
volume = "9251",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag GmbH and Co. KG",
pages = "86--90",
booktitle = "Parallel Computing Technologies - 13th International Conference, PaCT 2015, Proceedings",
address = "Germany",
note = "13th International Conference on Parallel Computing Technologies, PaCT 2015 ; Conference date: 30-08-2015 Through 03-09-2015",

}

RIS

TY - GEN

T1 - Control flow usage to improve performance of fragmented programs execution

AU - Malyshkin, V. E.

AU - Perepelkin, V. A.

AU - Tkacheva, A. A.

PY - 2015

Y1 - 2015

N2 - Dataflow-based systems of parallel programming, such as LuNA fragmented programming system, often lack efficiency in high performance computations due to a high degree of non-determinism of a parallel program execution and execution overhead it causes. The authors concern defining control flow in LuNA programs in order to optimize their execution performance. The basic idea is to aggregate several fragments of a program and to execute them under control flow, thus reducing both surplus parallelism and system overhead. Tests presented show effectiveness of the proposed approach.

AB - Dataflow-based systems of parallel programming, such as LuNA fragmented programming system, often lack efficiency in high performance computations due to a high degree of non-determinism of a parallel program execution and execution overhead it causes. The authors concern defining control flow in LuNA programs in order to optimize their execution performance. The basic idea is to aggregate several fragments of a program and to execute them under control flow, thus reducing both surplus parallelism and system overhead. Tests presented show effectiveness of the proposed approach.

KW - Control flow

KW - Fragmented programming technology

KW - High performance computing

KW - Luna fragmented programming system

UR - http://www.scopus.com/inward/record.url?scp=84944265143&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-21909-7_9

DO - 10.1007/978-3-319-21909-7_9

M3 - Conference contribution

AN - SCOPUS:84944265143

SN - 9783319219080

VL - 9251

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 86

EP - 90

BT - Parallel Computing Technologies - 13th International Conference, PaCT 2015, Proceedings

PB - Springer-Verlag GmbH and Co. KG

T2 - 13th International Conference on Parallel Computing Technologies, PaCT 2015

Y2 - 30 August 2015 through 3 September 2015

ER -

ID: 9411160