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 -