Finite element electromagnetic field computation on the Sequent Symmetry 81 parallel computer

The fact that finite-element field analysis algorithms lend themselves ideally to parallelization is exploited to implement a finite-element analysis program for electromagnetic field computation on the Sequence Symmetry 81 parallel computer with three processors. Since in terms of waiting time, the...

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Vydáno v:IEEE transactions on magnetics Ročník 26; číslo 2; s. 837 - 840
Hlavní autor: Hoole, S.R.H.
Médium: Journal Article Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.03.1990
Institute of Electrical and Electronics Engineers
Témata:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY
700202 - Fusion Power Plant Technology- Magnet Coils & Fields
990200 - Mathematics & Computers
Algorithm design and analysis
ALGORITHMS
Application software
ARRAY PROCESSORS
Assembly
COMPUTER CALCULATIONS
COMPUTER CODES
COMPUTERS
Concurrent computing
DIGITAL COMPUTERS
Electromagnetic analysis
ELECTROMAGNETIC FIELDS
Electromagnetism; electron and ion optics
Exact sciences and technology
Finite element methods
Fundamental areas of phenomenology (including applications)
GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
MATHEMATICAL LOGIC
PARALLEL PROCESSING
Parallel programming
Physics
Program processors
PROGRAMMING
SUPERCOMPUTERS
ISSN:0018-9464, 1941-0069
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Shrnutí:The fact that finite-element field analysis algorithms lend themselves ideally to parallelization is exploited to implement a finite-element analysis program for electromagnetic field computation on the Sequence Symmetry 81 parallel computer with three processors. Since in terms of waiting time, the maximum gains are to be made in matrix solution, special attention was given to parallelizing the solution part of the finite-element analysis. An outline of how parallelization could be exploited in most finite element operations is given, although the actual implementation of parallelism on the Sequent Symmetry 81 computer was in sparsity computation, matrix assembly, and the matrix solution areas. In all cases, the algorithms were modified to suit the parallel programming application rather than allowing the compiler to parallelize an existing algorithm.< >
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ISSN:0018-9464
1941-0069
DOI:10.1109/20.106448