The GMRES algorithm and ILU preconditioners are among the most commonly used methods for solving large-scale sparse linear systems. Based on excellent parallel computing performance, GPUs have been a promising hardware architecture. We devote our efforts into the development of a GMRES solver with ILU(k) preconditioners on GPUs and achieve favorable speedup effects. Our GPU computation includes high performance algorithms such as GMRES, SPMV, RAS, nested RAS, ILU(0), ILUT, BILU(k), decoupled ILU(k) and parallel triangular solver.
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The GMRES algorithm and ILU preconditioners are among the most commonly used methods for solving large-scale sparse linear systems. Based on excellent parallel computing performance, GPUs have been a promising hardware architecture. We devote our efforts into the development of a GMRES solver with ILU(k) preconditioners on GPUs and achieve favorable speedup effects. Our GPU computation includes high performance algorithms such as GMRES, SPMV, RAS, nested RAS, ILU(0), ILUT, BILU(k), decoupled ILU(k) and parallel triangular solver.
Bo Yang,PhD Student;Hui Liu,Research Associate;Zhangxin Chen,Professor;Reservoir Simulation Research Group,Chemical and Petroleum Engineering Department,Schulich School of Engineering,University of Calgary.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The GMRES algorithm and ILU preconditioners are among the most commonly used methods for solving large-scale sparse linear systems. Based on excellent parallel computing performance, GPUs have been a promising hardware architecture. We devote our efforts into the development of a GMRES solver with ILU(k) preconditioners on GPUs and achieve favorable speedup effects. Our GPU computation includes high performance algorithms such as GMRES, SPMV, RAS, nested RAS, ILU(0), ILUT, BILU(k), decoupled ILU(k) and parallel triangular solver. 208 pp. Englisch. N° de réf. du vendeur 9783659791932
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yang BoBo Yang,PhD StudentHui Liu,Research AssociateZhangxin Chen,ProfessorReservoir Simulation Research Group,Chemical and Petroleum Engineering Department,Schulich School of Engineering,University of Calgary.The GMRES algori. N° de réf. du vendeur 158876664
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The GMRES algorithm and ILU preconditioners are among the most commonly used methods for solving large-scale sparse linear systems. Based on excellent parallel computing performance, GPUs have been a promising hardware architecture. We devote our efforts into the development of a GMRES solver with ILU(k) preconditioners on GPUs and achieve favorable speedup effects. Our GPU computation includes high performance algorithms such as GMRES, SPMV, RAS, nested RAS, ILU(0), ILUT, BILU(k), decoupled ILU(k) and parallel triangular solver.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 208 pp. Englisch. N° de réf. du vendeur 9783659791932
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The GMRES algorithm and ILU preconditioners are among the most commonly used methods for solving large-scale sparse linear systems. Based on excellent parallel computing performance, GPUs have been a promising hardware architecture. We devote our efforts into the development of a GMRES solver with ILU(k) preconditioners on GPUs and achieve favorable speedup effects. Our GPU computation includes high performance algorithms such as GMRES, SPMV, RAS, nested RAS, ILU(0), ILUT, BILU(k), decoupled ILU(k) and parallel triangular solver. N° de réf. du vendeur 9783659791932
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. GMRES Solver with ILU(k) for Large-Scale Sparse Linear Systems on GPUs | Bo Yang (u. a.) | Taschenbuch | 208 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659791932 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 104082385
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