Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Parallel Intelligent Computing in Algebraic Problems. / Il’in, Valery.
Parallel Computational Technologies - 15th International Conference, PCT 2021, Revised Selected Papers. ed. / Leonid Sokolinsky; Mikhail Zymbler. Springer Science and Business Media Deutschland GmbH, 2021. p. 108-117 (Communications in Computer and Information Science; Vol. 1437).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Parallel Intelligent Computing in Algebraic Problems
AU - Il’in, Valery
N1 - Funding Information: Acknowledgements. The work was supported by the Russian Foundation for Basic Research (grant No. 18-01-00295). Publisher Copyright: © 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - We consider the issues associated with the creation of an intelligent computing environment for the high-performance solution of a wide class of large algebraic problems, which makes up the most resource-intensive stage of mathematical modeling. The first area of research is devoted to automating the construction of parallel algorithms and their mapping onto supercomputer architecture by investigating the problem of classification and identification of matrix statements and selecting algorithms for specific situations relying on optimization methods. The second aspect is related to the creation of intelligent interfaces, both for internal inter-module interactions and for end-users from various professional backgrounds. The rich functionality of the high-tech software under discussion requires an advanced system content to manage machine experiments. The scale of this development puts on the agenda the creation of an integrated tool environment or ecosystem, as well as the concept of a mathematical knowledge base.
AB - We consider the issues associated with the creation of an intelligent computing environment for the high-performance solution of a wide class of large algebraic problems, which makes up the most resource-intensive stage of mathematical modeling. The first area of research is devoted to automating the construction of parallel algorithms and their mapping onto supercomputer architecture by investigating the problem of classification and identification of matrix statements and selecting algorithms for specific situations relying on optimization methods. The second aspect is related to the creation of intelligent interfaces, both for internal inter-module interactions and for end-users from various professional backgrounds. The rich functionality of the high-tech software under discussion requires an advanced system content to manage machine experiments. The scale of this development puts on the agenda the creation of an integrated tool environment or ecosystem, as well as the concept of a mathematical knowledge base.
KW - Algebraic problems
KW - Classification and identification of statements
KW - Intelligent computing environment
KW - Large sparse matrices
KW - Selection of optimal parallel algorithms
UR - http://www.scopus.com/inward/record.url?scp=85112333556&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-81691-9_8
DO - 10.1007/978-3-030-81691-9_8
M3 - Conference contribution
AN - SCOPUS:85112333556
SN - 9783030816902
T3 - Communications in Computer and Information Science
SP - 108
EP - 117
BT - Parallel Computational Technologies - 15th International Conference, PCT 2021, Revised Selected Papers
A2 - Sokolinsky, Leonid
A2 - Zymbler, Mikhail
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Conference on Parallel Computational Technologies, PCT 2021
Y2 - 30 March 2021 through 1 April 2021
ER -
ID: 34097932