NDLI: Parallel and distributed computing in circular accelerators

Content Provider	IEEE Xplore Digital Library
Author	Andrianov, S. Edamenko, N. Dvoeglazov, A.
Copyright Year	2001
Description	Author affiliation: St. Petersburg State Univ., Russia (Andrianov, S.)
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 report 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 one 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 symbolic computation and storage of the results in corresponding databases. On the other hand, the possibilities of visual 2D- and 3D-presentation allows one to analyze the studied effects more carefully and intuitively. The multivariate description of beam evolution, space charge forces, and optimization procedures permits one to compute various representative models simultaneously on different clusters.
Sponsorship	U.S. Dept. Energy
Starting Page	3102
Ending Page	3104
File Size	317828
Page Count	3
File Format	PDF
ISBN	0780371917
DOI	10.1109/PAC.2001.988018
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-06-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Distributed computing Acceleration Concurrent computing High performance computing Space charge Computational modeling Computer simulation Design optimization Physics computing Parallel processing
Content Type	Text
Resource Type	Article

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