High-Performance Computing: Do’s and Dont’s
Cita com:
hdl:2117/114850
Document typePart of book or chapter of book
Defense date2018-02-14
PublisherInTech
Rights accessOpen Access
Except where otherwise noted, content on this work
is licensed under a Creative Commons license
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Attribution-NonCommercial-NoDerivs 3.0 Spain
ProjectHPC4E - HPC for Energy (EC-H2020-689772)
EoCoE - Energy oriented Centre of Excellence for computer applications (EC-H2020-676629)
EoCoE - Energy oriented Centre of Excellence for computer applications (EC-H2020-676629)
Abstract
Computational fluid dynamics (CFD) is the main field of computational mechanics that has historically benefited from advances in high-performance computing. High-performance computing involves several techniques to make a simulation efficient and fast, such as distributed memory parallelism, shared memory parallelism, vectorization, memory access optimizations, etc. As an introduction, we present the anatomy of supercomputers, with special emphasis on HPC aspects relevant to CFD. Then, we develop some of the HPC concepts and numerical techniques applied to the complete CFD simulation framework: from preprocess (meshing) to postprocess (visualization) through the simulation itself (assembly and iterative solvers).
CitationHouzeaux, G. [et al.]. High-Performance Computing: Do’s and Dont’s. A: "Computational Fluid Dynamics - Basic Instruments and Applications in Science". InTech, 2018, p. 3-41.
ISBN978-953-51-3791-7
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