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COMMUNICATIONS ORIENTED PROGRAMMING OF PARALLEL ITERATIVE SOLUTIONS OF SPARSE LINEAR SYSTEMS.

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Title: COMMUNICATIONS ORIENTED PROGRAMMING OF PARALLEL ITERATIVE SOLUTIONS OF SPARSE LINEAR SYSTEMS.
Authors: Patrick, Merrell L.1, Pratt, Terrence W.2
Source: Communications in Applied Numerical Methods. May/Jun1986, Vol. 2 Issue 3, p255-261. 7p.
Subjects: Parallel algorithms, Parallel programming, Mathematical programming, Linear systems
Abstract: Computing systems of the future for large-scale scientific and engineering computations will consist of many processors and memories working in parallel to solve a single problem. Efficient use and ease of use of these future systems are two basic problems facing potential users. The development of new parallel algorithms and parallel programming environments is essential for progress toward the solution of these problems. In this paper we develop parallel algorithms for a class of scientific computational problems by partitioning the problems into smaller problems which may be solved concurrently. The effectiveness of the resulting parallel solutions are determined by the amount and frequency of communication and synchronization and the extent to which communication can be overlapped with computation. We present three different parallel algorithms for solving the same class of problems and analyze their effectiveness from this point of view. The algorithms are programmed using a flew programming environment. Run-time statistics and experience obtained from the execution of these programs assist in measuring the effectiveness of these algorithms. [ABSTRACT FROM AUTHOR]
Copyright of Communications in Applied Numerical Methods is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: COMMUNICATIONS ORIENTED PROGRAMMING OF PARALLEL ITERATIVE SOLUTIONS OF SPARSE LINEAR SYSTEMS.
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  Data: <searchLink fieldCode="JN" term="%22Communications+in+Applied+Numerical+Methods%22">Communications in Applied Numerical Methods</searchLink>. May/Jun1986, Vol. 2 Issue 3, p255-261. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Parallel+algorithms%22">Parallel algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+programming%22">Parallel programming</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+programming%22">Mathematical programming</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+systems%22">Linear systems</searchLink>
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  Data: Computing systems of the future for large-scale scientific and engineering computations will consist of many processors and memories working in parallel to solve a single problem. Efficient use and ease of use of these future systems are two basic problems facing potential users. The development of new parallel algorithms and parallel programming environments is essential for progress toward the solution of these problems. In this paper we develop parallel algorithms for a class of scientific computational problems by partitioning the problems into smaller problems which may be solved concurrently. The effectiveness of the resulting parallel solutions are determined by the amount and frequency of communication and synchronization and the extent to which communication can be overlapped with computation. We present three different parallel algorithms for solving the same class of problems and analyze their effectiveness from this point of view. The algorithms are programmed using a flew programming environment. Run-time statistics and experience obtained from the execution of these programs assist in measuring the effectiveness of these algorithms. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Communications in Applied Numerical Methods is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/cnm.1630020306
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 255
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      – SubjectFull: Parallel algorithms
        Type: general
      – SubjectFull: Parallel programming
        Type: general
      – SubjectFull: Mathematical programming
        Type: general
      – SubjectFull: Linear systems
        Type: general
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      – TitleFull: COMMUNICATIONS ORIENTED PROGRAMMING OF PARALLEL ITERATIVE SOLUTIONS OF SPARSE LINEAR SYSTEMS.
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              Text: May/Jun1986
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              Y: 1986
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            – TitleFull: Communications in Applied Numerical Methods
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