Standard

The algorithm of control program generation for optimization of LuNA program execution. / Tkacheva, Anastasia A.

Parallel Computing Technologies - 14th International Conference, PaCT 2017, Proceedings. ed. / Malyshkin. Vol. 10421 LNCS Springer-Verlag GmbH and Co. KG, 2017. p. 365-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10421 LNCS).

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

Harvard

Tkacheva, AA 2017, The algorithm of control program generation for optimization of LuNA program execution. in Malyshkin (ed.), Parallel Computing Technologies - 14th International Conference, PaCT 2017, Proceedings. vol. 10421 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10421 LNCS, Springer-Verlag GmbH and Co. KG, pp. 365-371, 14th International Conference on Parallel Computing Technologies, PaCT 2017, Nizhny Novgorod, Russian Federation, 04.09.2017. https://doi.org/10.1007/978-3-319-62932-2_35

APA

Tkacheva, A. A. (2017). The algorithm of control program generation for optimization of LuNA program execution. In Malyshkin (Ed.), Parallel Computing Technologies - 14th International Conference, PaCT 2017, Proceedings (Vol. 10421 LNCS, pp. 365-371). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10421 LNCS). Springer-Verlag GmbH and Co. KG. https://doi.org/10.1007/978-3-319-62932-2_35

Vancouver

Tkacheva AA. The algorithm of control program generation for optimization of LuNA program execution. In Malyshkin, editor, Parallel Computing Technologies - 14th International Conference, PaCT 2017, Proceedings. Vol. 10421 LNCS. Springer-Verlag GmbH and Co. KG. 2017. p. 365-371. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-62932-2_35

Author

Tkacheva, Anastasia A. / The algorithm of control program generation for optimization of LuNA program execution. Parallel Computing Technologies - 14th International Conference, PaCT 2017, Proceedings. editor / Malyshkin. Vol. 10421 LNCS Springer-Verlag GmbH and Co. KG, 2017. pp. 365-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{5f81fa4f1f7244dda70a6687ee4b2764,
title = "The algorithm of control program generation for optimization of LuNA program execution",
abstract = "LuNA fragmented programming system is a high-level declarative system of parallel programming. Such systems have the problem of achieving on appropriate program execution performance in comparison with MPI. The reasons are a high degree of parallel program execution non-determinism and execution overhead. The paper presents an algorithm of control program generation for LuNA programs. That is a step towards automatic improvement of LuNA program execution performance. Performance tests presented show effectiveness of the proposed approach.",
keywords = "Fragmented programming system LuNA, Fragmented programming technology, High performance computing, Parallel program generation, SYSTEM",
author = "Tkacheva, {Anastasia A.}",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-62932-2_35",
language = "English",
isbn = "9783319629315",
volume = "10421 LNCS",
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 = "365--371",
editor = "Malyshkin",
booktitle = "Parallel Computing Technologies - 14th International Conference, PaCT 2017, Proceedings",
address = "Germany",
note = "14th International Conference on Parallel Computing Technologies, PaCT 2017 ; Conference date: 04-09-2017 Through 08-09-2017",

}

RIS

TY - GEN

T1 - The algorithm of control program generation for optimization of LuNA program execution

AU - Tkacheva, Anastasia A.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - LuNA fragmented programming system is a high-level declarative system of parallel programming. Such systems have the problem of achieving on appropriate program execution performance in comparison with MPI. The reasons are a high degree of parallel program execution non-determinism and execution overhead. The paper presents an algorithm of control program generation for LuNA programs. That is a step towards automatic improvement of LuNA program execution performance. Performance tests presented show effectiveness of the proposed approach.

AB - LuNA fragmented programming system is a high-level declarative system of parallel programming. Such systems have the problem of achieving on appropriate program execution performance in comparison with MPI. The reasons are a high degree of parallel program execution non-determinism and execution overhead. The paper presents an algorithm of control program generation for LuNA programs. That is a step towards automatic improvement of LuNA program execution performance. Performance tests presented show effectiveness of the proposed approach.

KW - Fragmented programming system LuNA

KW - Fragmented programming technology

KW - High performance computing

KW - Parallel program generation

KW - SYSTEM

UR - http://www.scopus.com/inward/record.url?scp=85028706067&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-62932-2_35

DO - 10.1007/978-3-319-62932-2_35

M3 - Conference contribution

AN - SCOPUS:85028706067

SN - 9783319629315

VL - 10421 LNCS

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

SP - 365

EP - 371

BT - Parallel Computing Technologies - 14th International Conference, PaCT 2017, Proceedings

A2 - Malyshkin, null

PB - Springer-Verlag GmbH and Co. KG

T2 - 14th International Conference on Parallel Computing Technologies, PaCT 2017

Y2 - 4 September 2017 through 8 September 2017

ER -

ID: 9916074