CONCURRENT PROCESSING: THE KEY TO RAPID PROBABILISTIC POTENTIAL METHODS.

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Title: CONCURRENT PROCESSING: THE KEY TO RAPID PROBABILISTIC POTENTIAL METHODS.
Authors: Fusco, V. F.1
Source: International Journal of Numerical Modelling. Mar90, Vol. 3 Issue 1, p1-9. 9p.
Subjects: Transputers, Algorithms, Probability theory, Personal computers, Mathematical combinations, Dielectrics
Abstract: This paper shows how probabilistic potential methods based on the Monte Carlo approach can be efficiently mapped onto an array of concurrent processors and how the resulting algorithm can provide rapid solutions of harmonic function problems. The method described here exploits the natural concurrency of the Monte Carlo approach. Computation is achieved by use of a low-cost array of transputers linked to a PC-AT. The resulting methodology is powerful and the ideas suggested should have application to many other modelling techniques used for field modelling. A microstrip geometry is used as the discussion vehicle throughout this paper. This geometry was selected since it exhibits a number of the important topological features required in a general problem, e.g. Dirichlet boundary conditions and mixed dielectric. The design of the parallel algorithm used is discussed in detail, and typical results are given. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Numerical Modelling 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: This paper shows how probabilistic potential methods based on the Monte Carlo approach can be efficiently mapped onto an array of concurrent processors and how the resulting algorithm can provide rapid solutions of harmonic function problems. The method described here exploits the natural concurrency of the Monte Carlo approach. Computation is achieved by use of a low-cost array of transputers linked to a PC-AT. The resulting methodology is powerful and the ideas suggested should have application to many other modelling techniques used for field modelling. A microstrip geometry is used as the discussion vehicle throughout this paper. This geometry was selected since it exhibits a number of the important topological features required in a general problem, e.g. Dirichlet boundary conditions and mixed dielectric. The design of the parallel algorithm used is discussed in detail, and typical results are given. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Numerical Modelling 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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RecordInfo BibRecord:
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        Value: 10.1002/jnm.1660030102
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      – Code: eng
        Text: English
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        PageCount: 9
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    Subjects:
      – SubjectFull: Transputers
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Probability theory
        Type: general
      – SubjectFull: Personal computers
        Type: general
      – SubjectFull: Mathematical combinations
        Type: general
      – SubjectFull: Dielectrics
        Type: general
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      – TitleFull: CONCURRENT PROCESSING: THE KEY TO RAPID PROBABILISTIC POTENTIAL METHODS.
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              Text: Mar90
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