Multiphase flow through porous media is a common problem found in many engineering and environmental fields such as oil and gas, chemical processing, hydrology, and geophysics. Simulation challenges are magnified due to the complicated geometry of void spaces in porous media such as rocks or packed bed reactors. Advances in HPC (high performance computing) capabilities, such as high fidelity mesh generation and related flow solvers have made image-based pore-scale modeling a feasible technique for addressing porous media problems. Current community codes, however, do not exploit HPC capabilities to their fullest and lack fully coupled physics. In this book the performance scaling, profiling, and optimization for the enhancements to OpenFOAM on HPC developed in this book apply not only to parallel programming but also for HPC platform accelerators, such as Intel Xeon Phi co-processors (i.e. Knights Corner - KNC) and processors (i.e. Knights Landing - KNL) respectively.
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Dr. Zhi Shang's research interests include multiphase flow modeling, numerical heat transfer, CFD and large-scale parallel computing. He has worked in these research areas over 15 years. He has published more than 100 international journal/conference papers. He serves as a peer reviewer for more than 30 international journals.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multiphase flow through porous media is a common problem found in many engineering and environmental fields such as oil and gas, chemical processing, hydrology, and geophysics. Simulation challenges are magnified due to the complicated geometry of void spaces in porous media such as rocks or packed bed reactors. Advances in HPC (high performance computing) capabilities, such as high fidelity mesh generation and related flow solvers have made image-based pore-scale modeling a feasible technique for addressing porous media problems. Current community codes, however, do not exploit HPC capabilities to their fullest and lack fully coupled physics. In this book the performance scaling, profiling, and optimization for the enhancements to OpenFOAM on HPC developed in this book apply not only to parallel programming but also for HPC platform accelerators, such as Intel Xeon Phi co-processors (i.e. Knights Corner - KNC) and processors (i.e. Knights Landing - KNL) respectively. 72 pp. Englisch. Nº de ref. del artículo: 9783659808524
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multiphase flow through porous media is a common problem found in many engineering and environmental fields such as oil and gas, chemical processing, hydrology, and geophysics. Simulation challenges are magnified due to the complicated geometry of void spaces in porous media such as rocks or packed bed reactors. Advances in HPC (high performance computing) capabilities, such as high fidelity mesh generation and related flow solvers have made image-based pore-scale modeling a feasible technique for addressing porous media problems. Current community codes, however, do not exploit HPC capabilities to their fullest and lack fully coupled physics. In this book the performance scaling, profiling, and optimization for the enhancements to OpenFOAM on HPC developed in this book apply not only to parallel programming but also for HPC platform accelerators, such as Intel Xeon Phi co-processors (i.e. Knights Corner - KNC) and processors (i.e. Knights Landing - KNL) respectively. Nº de ref. del artículo: 9783659808524
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shang ZhiDr. Zhi Shang s research interests include multiphase flow modeling, numerical heat transfer, CFD and large-scale parallel computing. He has worked in these research areas over 15 years. He has published more than 100 intern. Nº de ref. del artículo: 151428752
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Taschenbuch. Condición: Neu. Neuware -Multiphase flow through porous media is a common problem found in many engineering and environmental fields such as oil and gas, chemical processing, hydrology, and geophysics. Simulation challenges are magnified due to the complicated geometry of void spaces in porous media such as rocks or packed bed reactors. Advances in HPC (high performance computing) capabilities, such as high fidelity mesh generation and related flow solvers have made image-based pore-scale modeling a feasible technique for addressing porous media problems. Current community codes, however, do not exploit HPC capabilities to their fullest and lack fully coupled physics. In this book the performance scaling, profiling, and optimization for the enhancements to OpenFOAM on HPC developed in this book apply not only to parallel programming but also for HPC platform accelerators, such as Intel Xeon Phi co-processors (i.e. Knights Corner - KNC) and processors (i.e. Knights Landing - KNL) respectively.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch. Nº de ref. del artículo: 9783659808524
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