author_facet O'Neill, Alfred J.
Kaiser, Daniel J.
Stadtherr, Mark A.
O'Neill, Alfred J.
Kaiser, Daniel J.
Stadtherr, Mark A.
author O'Neill, Alfred J.
Kaiser, Daniel J.
Stadtherr, Mark A.
spellingShingle O'Neill, Alfred J.
Kaiser, Daniel J.
Stadtherr, Mark A.
AIChE Journal
Strategies for equilibrium‐stage separation calculations on parallel computers
General Chemical Engineering
Environmental Engineering
Biotechnology
author_sort o'neill, alfred j.
spelling O'Neill, Alfred J. Kaiser, Daniel J. Stadtherr, Mark A. 0001-1541 1547-5905 Wiley General Chemical Engineering Environmental Engineering Biotechnology http://dx.doi.org/10.1002/aic.690400109 <jats:title>Abstract</jats:title><jats:p>When multicomponent, multistage separation problems are solved on parallel computers by successive linearization methods, the solution of a large sparse linear equation system becomes a computational bottleneck, since other parts of the calculation are more easily parallelized. When the standard problem formulation is used, this system has a block‐tridiagonal form. It is shown how this structure can be used in parallelizing the sparse matrix computation. By reformulating the problem so that it has a bordered‐block‐bidiagonal superstructure, it can be made even more amenable to parallezation. These strategies permit the use of a two‐level hierarchy of parallelism that provides substantial improvements in computational performance on parallel machines.</jats:p> Strategies for equilibrium‐stage separation calculations on parallel computers AIChE Journal
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title Strategies for equilibrium‐stage separation calculations on parallel computers
title_unstemmed Strategies for equilibrium‐stage separation calculations on parallel computers
title_full Strategies for equilibrium‐stage separation calculations on parallel computers
title_fullStr Strategies for equilibrium‐stage separation calculations on parallel computers
title_full_unstemmed Strategies for equilibrium‐stage separation calculations on parallel computers
title_short Strategies for equilibrium‐stage separation calculations on parallel computers
title_sort strategies for equilibrium‐stage separation calculations on parallel computers
topic General Chemical Engineering
Environmental Engineering
Biotechnology
url http://dx.doi.org/10.1002/aic.690400109
publishDate 1994
physical 65-72
description <jats:title>Abstract</jats:title><jats:p>When multicomponent, multistage separation problems are solved on parallel computers by successive linearization methods, the solution of a large sparse linear equation system becomes a computational bottleneck, since other parts of the calculation are more easily parallelized. When the standard problem formulation is used, this system has a block‐tridiagonal form. It is shown how this structure can be used in parallelizing the sparse matrix computation. By reformulating the problem so that it has a bordered‐block‐bidiagonal superstructure, it can be made even more amenable to parallezation. These strategies permit the use of a two‐level hierarchy of parallelism that provides substantial improvements in computational performance on parallel machines.</jats:p>
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author O'Neill, Alfred J., Kaiser, Daniel J., Stadtherr, Mark A.
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description <jats:title>Abstract</jats:title><jats:p>When multicomponent, multistage separation problems are solved on parallel computers by successive linearization methods, the solution of a large sparse linear equation system becomes a computational bottleneck, since other parts of the calculation are more easily parallelized. When the standard problem formulation is used, this system has a block‐tridiagonal form. It is shown how this structure can be used in parallelizing the sparse matrix computation. By reformulating the problem so that it has a bordered‐block‐bidiagonal superstructure, it can be made even more amenable to parallezation. These strategies permit the use of a two‐level hierarchy of parallelism that provides substantial improvements in computational performance on parallel machines.</jats:p>
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imprint Wiley, 1994
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spelling O'Neill, Alfred J. Kaiser, Daniel J. Stadtherr, Mark A. 0001-1541 1547-5905 Wiley General Chemical Engineering Environmental Engineering Biotechnology http://dx.doi.org/10.1002/aic.690400109 <jats:title>Abstract</jats:title><jats:p>When multicomponent, multistage separation problems are solved on parallel computers by successive linearization methods, the solution of a large sparse linear equation system becomes a computational bottleneck, since other parts of the calculation are more easily parallelized. When the standard problem formulation is used, this system has a block‐tridiagonal form. It is shown how this structure can be used in parallelizing the sparse matrix computation. By reformulating the problem so that it has a bordered‐block‐bidiagonal superstructure, it can be made even more amenable to parallezation. These strategies permit the use of a two‐level hierarchy of parallelism that provides substantial improvements in computational performance on parallel machines.</jats:p> Strategies for equilibrium‐stage separation calculations on parallel computers AIChE Journal
spellingShingle O'Neill, Alfred J., Kaiser, Daniel J., Stadtherr, Mark A., AIChE Journal, Strategies for equilibrium‐stage separation calculations on parallel computers, General Chemical Engineering, Environmental Engineering, Biotechnology
title Strategies for equilibrium‐stage separation calculations on parallel computers
title_full Strategies for equilibrium‐stage separation calculations on parallel computers
title_fullStr Strategies for equilibrium‐stage separation calculations on parallel computers
title_full_unstemmed Strategies for equilibrium‐stage separation calculations on parallel computers
title_short Strategies for equilibrium‐stage separation calculations on parallel computers
title_sort strategies for equilibrium‐stage separation calculations on parallel computers
title_unstemmed Strategies for equilibrium‐stage separation calculations on parallel computers
topic General Chemical Engineering, Environmental Engineering, Biotechnology
url http://dx.doi.org/10.1002/aic.690400109