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.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 12784542 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: CONCURRENT PROCESSING: THE KEY TO RAPID PROBABILISTIC POTENTIAL METHODS. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fusco%2C+V%2E+F%2E%22">Fusco, V. F.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Numerical+Modelling%22">International Journal of Numerical Modelling</searchLink>. Mar90, Vol. 3 Issue 1, p1-9. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Transputers%22">Transputers</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Personal+computers%22">Personal computers</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+combinations%22">Mathematical combinations</searchLink><br /><searchLink fieldCode="DE" term="%22Dielectrics%22">Dielectrics</searchLink> – Name: Abstract Label: Abstract Group: Ab 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] – Name: AbstractSuppliedCopyright Label: Group: Ab 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: BibEntity: Identifiers: – Type: doi Value: 10.1002/jnm.1660030102 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1 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 Titles: – TitleFull: CONCURRENT PROCESSING: THE KEY TO RAPID PROBABILISTIC POTENTIAL METHODS. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fusco, V. F. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar90 Type: published Y: 1990 Identifiers: – Type: issn-print Value: 08943370 Numbering: – Type: volume Value: 3 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Numerical Modelling Type: main |
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