Parallel processing for scientific computing; Proceedings of the Third SIAM Conference, Los Angeles, CA, Dec. 1-4, 1987
Conference
·
OSTI ID:5145432
The present conference discusses topics in the fields of matrix computations, numerical methods, differential equations, parallel processing applications in science, computer languages and software systems for parallel processing, and parallel computer architectures. Attention is given to Gaussian techniques on shared memory multiprocessors, a novel parallel algorithm for linear triangular systems, parallel rapid elliptic solvers, parallel multivariate numerical integration, and the implementation of the acceptance-rejection method on parallel processors. Also discussed are a parallel multilevel FEM with hierarchical basis functions, the parallel processing of a domain decomposition method, the parallelization of adaptive grid domain mappings, the automated decomposition of FEM meshes for hypercube computers, parallel vision algorithms, the programming of parallel architectures, iteration space tiling for memory hierarchies, the Cerberus multiprocessor simulator, and a parallel architecture for optical computing.
- OSTI ID:
- 5145432
- Report Number(s):
- CONF-871251--
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS
990200* -- Mathematics & Computers
ABSTRACTS
ALGORITHMS
ARRAY PROCESSORS
COMPUTERS
CONTROL
COORDINATES
DIFFERENTIAL EQUATIONS
DOCUMENT TYPES
EQUATIONS
FACTORIZATION
FINITE ELEMENT METHOD
FLUID FLOW
HYPERCUBE COMPUTERS
LEADING ABSTRACT
MATHEMATICAL LOGIC
MATHEMATICS
MATRICES
MEETINGS
MULTIVARIATE ANALYSIS
NUMERICAL SOLUTION
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STATISTICS
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990200* -- Mathematics & Computers
ABSTRACTS
ALGORITHMS
ARRAY PROCESSORS
COMPUTERS
CONTROL
COORDINATES
DIFFERENTIAL EQUATIONS
DOCUMENT TYPES
EQUATIONS
FACTORIZATION
FINITE ELEMENT METHOD
FLUID FLOW
HYPERCUBE COMPUTERS
LEADING ABSTRACT
MATHEMATICAL LOGIC
MATHEMATICS
MATRICES
MEETINGS
MULTIVARIATE ANALYSIS
NUMERICAL SOLUTION
PARALLEL PROCESSING
PROGRAMMING
PROGRAMMING LANGUAGES
STATISTICS
TWO-PHASE FLOW
VECTOR PROCESSING
VISION