On the design and implementation of parallel finite element approximate inverses using POSIX threads on multicore systems.
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| Title: | On the design and implementation of parallel finite element approximate inverses using POSIX threads on multicore systems. |
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| Authors: | Gravvanis, G.A., Matskanidis, P.I., Giannoutakis, K.M., Lipitakis, E.A. |
| Source: | Engineering Computations. 2012, Vol. 29 Issue 3, p338-354. 17p. |
| Subjects: | Finite element method, POSIX (Computer software standard), Computer operating system standards, Multicore processors, Central processing units |
| Abstract: | Purpose |!|#8211; The purpose of this paper is to propose novel parallel computational techniques for the parallelization of explicit finite element generalized approximate inverse methods, based on Portable Operating System Interface for UniX (POSIX) threads, for multicore systems. Design/methodology/approach |!|#8211; The authors|!|#39; main motive for the derivation of the new Parallel Generalized Approximate Inverse Finite Element Matrix algorithmic techniques is that they can be efficiently used in conjunction with explicit preconditioned conjugate gradient-type schemes on multicore systems. The proposed parallelization technique of the Optimized Banded Generalized Approximate Inverse Finite Element Matrix (OBGAIFEM) algorithm is achieved based on the concept of the |!|#34;fish bone|!|#34; approach with the use of a thread pool pattern. Theoretical estimates on the computational complexity of the parallel generalized approximate inverse finite element matrix algorithmic techniques are also derived. Findings |!|#8211; Application of the proposed method on a two-dimensional boundary value problem is discussed and numerical results are given on a multicore system using POSIX threads. These results tend to become optimum and are favorably compared to corresponding results from multiprocessor systems, as presented in recent work by Gravvanis et al.Originality/value |!|#8211; The proposed parallel explicit finite element generalized approximate inverse preconditioning, using approximate factorization and approximate inverse algorithms, is an efficient computational method that is valuable for computer scientists and for scientists and engineers in engineering computations. [ABSTRACT FROM AUTHOR] |
| Copyright of Engineering Computations is the property of Emerald Publishing Limited 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 | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 79916301 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: On the design and implementation of parallel finite element approximate inverses using POSIX threads on multicore systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gravvanis%2C+G%2EA%2E%22">Gravvanis, G.A.</searchLink><br /><searchLink fieldCode="AR" term="%22Matskanidis%2C+P%2EI%2E%22">Matskanidis, P.I.</searchLink><br /><searchLink fieldCode="AR" term="%22Giannoutakis%2C+K%2EM%2E%22">Giannoutakis, K.M.</searchLink><br /><searchLink fieldCode="AR" term="%22Lipitakis%2C+E%2EA%2E%22">Lipitakis, E.A.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Engineering+Computations%22">Engineering Computations</searchLink>. 2012, Vol. 29 Issue 3, p338-354. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br /><searchLink fieldCode="DE" term="%22POSIX+%28Computer+software+standard%29%22">POSIX (Computer software standard)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+operating+system+standards%22">Computer operating system standards</searchLink><br /><searchLink fieldCode="DE" term="%22Multicore+processors%22">Multicore processors</searchLink><br /><searchLink fieldCode="DE" term="%22Central+processing+units%22">Central processing units</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose |!|#8211; The purpose of this paper is to propose novel parallel computational techniques for the parallelization of explicit finite element generalized approximate inverse methods, based on Portable Operating System Interface for UniX (POSIX) threads, for multicore systems. Design/methodology/approach |!|#8211; The authors|!|#39; main motive for the derivation of the new Parallel Generalized Approximate Inverse Finite Element Matrix algorithmic techniques is that they can be efficiently used in conjunction with explicit preconditioned conjugate gradient-type schemes on multicore systems. The proposed parallelization technique of the Optimized Banded Generalized Approximate Inverse Finite Element Matrix (OBGAIFEM) algorithm is achieved based on the concept of the |!|#34;fish bone|!|#34; approach with the use of a thread pool pattern. Theoretical estimates on the computational complexity of the parallel generalized approximate inverse finite element matrix algorithmic techniques are also derived. Findings |!|#8211; Application of the proposed method on a two-dimensional boundary value problem is discussed and numerical results are given on a multicore system using POSIX threads. These results tend to become optimum and are favorably compared to corresponding results from multiprocessor systems, as presented in recent work by Gravvanis et al.Originality/value |!|#8211; The proposed parallel explicit finite element generalized approximate inverse preconditioning, using approximate factorization and approximate inverse algorithms, is an efficient computational method that is valuable for computer scientists and for scientists and engineers in engineering computations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Engineering Computations is the property of Emerald Publishing Limited 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: 10.1108/02644401211212433 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 338 Subjects: – SubjectFull: Finite element method Type: general – SubjectFull: POSIX (Computer software standard) Type: general – SubjectFull: Computer operating system standards Type: general – SubjectFull: Multicore processors Type: general – SubjectFull: Central processing units Type: general Titles: – TitleFull: On the design and implementation of parallel finite element approximate inverses using POSIX threads on multicore systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gravvanis, G.A. – PersonEntity: Name: NameFull: Matskanidis, P.I. – PersonEntity: Name: NameFull: Giannoutakis, K.M. – PersonEntity: Name: NameFull: Lipitakis, E.A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2012 Type: published Y: 2012 Identifiers: – Type: issn-print Value: 02644401 Numbering: – Type: volume Value: 29 – Type: issue Value: 3 Titles: – TitleFull: Engineering Computations Type: main |
| ResultId | 1 |
