Standard

Parallel and distributed computing in circular accelerators. / Andrianov, Serge; Edamenko, Nick; Dvoeglazov, Andrew.

2001. 3102-3104 Работа представлена на 2001 Particle Accelerator Conference, Chicago, IL, Соединенные Штаты Америки.

Результаты исследований: Материалы конференцийматериалыРецензирование

Harvard

Andrianov, S, Edamenko, N & Dvoeglazov, A 2001, 'Parallel and distributed computing in circular accelerators', Работа представлена на 2001 Particle Accelerator Conference, Chicago, IL, Соединенные Штаты Америки, 18/06/01 - 22/06/01 стр. 3102-3104.

APA

Andrianov, S., Edamenko, N., & Dvoeglazov, A. (2001). Parallel and distributed computing in circular accelerators. 3102-3104. Работа представлена на 2001 Particle Accelerator Conference, Chicago, IL, Соединенные Штаты Америки.

Vancouver

Andrianov S, Edamenko N, Dvoeglazov A. Parallel and distributed computing in circular accelerators. 2001. Работа представлена на 2001 Particle Accelerator Conference, Chicago, IL, Соединенные Штаты Америки.

Author

Andrianov, Serge ; Edamenko, Nick ; Dvoeglazov, Andrew. / Parallel and distributed computing in circular accelerators. Работа представлена на 2001 Particle Accelerator Conference, Chicago, IL, Соединенные Штаты Америки.3 стр.

BibTeX

@conference{57d83f31db9346fbbfb7b7daa7465cd9,
title = "Parallel and distributed computing in circular accelerators",
abstract = "There are some problems of accelerator simulation (for example, computer design of new accelerator projects, optimization of working machines and quasi-real time accelerator control) which demand high performance computing using parallel and distributed computer systems. In particular, usage of computer clusters set is perspective for this purpose. In this reports we develop the approach suggested in our previous works. This approach is based on several levels of process of parallel and distributed computing. The structured physical and mathematical description of a beam evolution behavior (including space charge forces) allows to distribute calculations on several computing clusters with parallel computing inside each structural block. Computer algebra tools play the great role in such approach. Indeed, on the one hand, the used matrix formalism for Lie algebraic methods admits the symbolic computations and storage of the results in corresponding databases. On the other hand, the possibilities of visual 2D- and 3D-presentation allows to analyze the studied effects more carefully and intuitive. Multivariate description of beam evolution, space charge forces, and optimization procedures permits to compute various representative models simultaneously on different clusters.",
author = "Serge Andrianov and Nick Edamenko and Andrew Dvoeglazov",
year = "2001",
month = dec,
day = "1",
language = "English",
pages = "3102--3104",
note = "2001 Particle Accelerator Conference ; Conference date: 18-06-2001 Through 22-06-2001",

}

RIS

TY - CONF

T1 - Parallel and distributed computing in circular accelerators

AU - Andrianov, Serge

AU - Edamenko, Nick

AU - Dvoeglazov, Andrew

PY - 2001/12/1

Y1 - 2001/12/1

N2 - There are some problems of accelerator simulation (for example, computer design of new accelerator projects, optimization of working machines and quasi-real time accelerator control) which demand high performance computing using parallel and distributed computer systems. In particular, usage of computer clusters set is perspective for this purpose. In this reports we develop the approach suggested in our previous works. This approach is based on several levels of process of parallel and distributed computing. The structured physical and mathematical description of a beam evolution behavior (including space charge forces) allows to distribute calculations on several computing clusters with parallel computing inside each structural block. Computer algebra tools play the great role in such approach. Indeed, on the one hand, the used matrix formalism for Lie algebraic methods admits the symbolic computations and storage of the results in corresponding databases. On the other hand, the possibilities of visual 2D- and 3D-presentation allows to analyze the studied effects more carefully and intuitive. Multivariate description of beam evolution, space charge forces, and optimization procedures permits to compute various representative models simultaneously on different clusters.

AB - There are some problems of accelerator simulation (for example, computer design of new accelerator projects, optimization of working machines and quasi-real time accelerator control) which demand high performance computing using parallel and distributed computer systems. In particular, usage of computer clusters set is perspective for this purpose. In this reports we develop the approach suggested in our previous works. This approach is based on several levels of process of parallel and distributed computing. The structured physical and mathematical description of a beam evolution behavior (including space charge forces) allows to distribute calculations on several computing clusters with parallel computing inside each structural block. Computer algebra tools play the great role in such approach. Indeed, on the one hand, the used matrix formalism for Lie algebraic methods admits the symbolic computations and storage of the results in corresponding databases. On the other hand, the possibilities of visual 2D- and 3D-presentation allows to analyze the studied effects more carefully and intuitive. Multivariate description of beam evolution, space charge forces, and optimization procedures permits to compute various representative models simultaneously on different clusters.

UR - http://www.scopus.com/inward/record.url?scp=0035570547&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0035570547

SP - 3102

EP - 3104

T2 - 2001 Particle Accelerator Conference

Y2 - 18 June 2001 through 22 June 2001

ER -

ID: 36657518