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Supercomputing for Molecular Dynamics Simulations: Handling Multi-Trillion Particles in Nanofluidics (SpringerBriefs in Computer Science) - Softcover
Synopsis
This work presents modern implementations of relevant molecular dynamics algorithms using ls1 mardyn, a simulation program for engineering applications. The text focuses strictly on HPC-related aspects, covering implementation on HPC architectures, taking Intel Xeon and Intel Xeon Phi clusters as representatives of current platforms. The work describes distributed and shared-memory parallelization on these platforms, including load balancing, with a particular focus on the efficient implementation of the compute kernels. The text also discusses the software-architecture of the resulting code.
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This work presents modern implementations of relevant molecular dynamics algorithms using ls1 mardyn, a simulation program for engineering applications. The text focuses strictly on HPC-related aspects, covering implementation on HPC architectures, taking Intel Xeon and Intel Xeon Phi clusters as representatives of current platforms. The work describes distributed and shared-memory parallelization on these platforms, including load balancing, with a particular focus on the efficient implementation of the compute kernels. The text also discusses the software-architecture of the resulting code.
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Supercomputing for Molecular Dynamics Simulations: Handling Multi-Trillion Particles in Nanofluidics (SpringerBriefs in Computer Science) [Paperback] Heinecke, Alexander; Eckhardt, Wolfgang; Horsch, Martin and Bungartz, Hans-Joachim (eng)
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Supercomputing for Molecular Dynamics Simulations
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Springer International Publishing Apr 2015, 2015
ISBN 10: 331917147X
ISBN 13: 9783319171470
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work presents modern implementations of relevant molecular dynamics algorithms using ls1 mardyn, a simulation program for engineering applications. The text focuses strictly on HPC-related aspects, covering implementation on HPC architectures, taking Intel Xeon and Intel Xeon Phi clusters as representatives of current platforms. The work describes distributed and shared-memory parallelization on these platforms, including load balancing, with a particular focus on the efficient implementation of the compute kernels. The text also discusses the software-architecture of the resulting code. 88 pp. Englisch. Seller Inventory # 9783319171470
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