Solution Of Regular, Sparse Triangular Linear Systems On Vector And Distributed-Memory Multiprocessors - Info and Reading Options
By Barszcz, E., Fatoohi, R., Venkatakrishnan, V. and Weeratunga, S
"Solution Of Regular, Sparse Triangular Linear Systems On Vector And Distributed-Memory Multiprocessors" and the language of the book is English.
“Solution Of Regular, Sparse Triangular Linear Systems On Vector And Distributed-Memory Multiprocessors” Metadata:
- Title: ➤ Solution Of Regular, Sparse Triangular Linear Systems On Vector And Distributed-Memory Multiprocessors
- Authors: Barszcz, E.Fatoohi, R.Venkatakrishnan, V.Weeratunga, S
- Language: English
“Solution Of Regular, Sparse Triangular Linear Systems On Vector And Distributed-Memory Multiprocessors” Subjects and Themes:
- Subjects: ➤ PSYCHOLOGICAL FACTORS - GRATINGS - MATHEMATICAL MODELS - PERFORMANCE PREDICTION - PSYCHOLOGICAL TESTS - STIMULI - HUMAN PERFORMANCE - INFORMATION PROCESSING (BIOLOGY) - DECISION THEORY - SEARCH PROFILES - TASKS - SPEED CONTROL
Edition Identifiers:
- Internet Archive ID: nasa_techdoc_19970009925
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"Solution Of Regular, Sparse Triangular Linear Systems On Vector And Distributed-Memory Multiprocessors" Description:
The Internet Archive:
This paper presents the implementations and results of a model problem, the Symmetric Successive Over-Relaxation (SSOR) simulated application benchmark from the NAS Parallel Benchmark suite for three different parallel processors. SSOR is an iterative implicit method that partitions the left hand side matrix into a lower triangular matrix and an upper triangular matrix. The machines used are an eight processor Cray Y-MP, a 32k processor Thinking Machines Corp. CM-2 and a 128 processor Intel iPSC/860. The primary difficulty in implementing SSOR on a parallel machine lies in finding enough parallelism within the triangular solves to keep a large number of processors active. A data mapping useful for distributed memory architectures is presented. The results show that the eight processor Cray Y-MP has the best performance among the three machines.
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"Solution Of Regular, Sparse Triangular Linear Systems On Vector And Distributed-Memory Multiprocessors" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 10.71 Mbs, and the file-s went public at Mon May 23 2011.
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