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dc.contributor.authorHenrik Göbbert, Jens
dc.contributor.authorHouzeaux, Guillaume
dc.contributor.authorBorrell, R.
dc.contributor.authorMehta, Vishal
dc.contributor.authorFournier, Yvan
dc.contributor.authorHachem, Elie
dc.contributor.authorVázquez, Mariano
dc.contributor.authorGarcia-Gasulla, Marta
dc.contributor.authorOwen, Herbert
dc.date.accessioned2021-06-02T10:10:51Z
dc.date.available2021-06-02T10:10:51Z
dc.date.issued2018
dc.identifierONIX_20210602_10.5772/intechopen.72042_377
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/49263
dc.description.abstractComputational 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).
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYM Computer modelling & simulation
dc.subject.otherparallelization, high-performance computing, assembly, supercomputing, meshing, adaptivity, algebraic solvers, parallel I/O, visualization
dc.titleChapter High-Performance Computing: Dos and Don’ts
dc.typechapter
oapen.identifier.doi10.5772/intechopen.72042
oapen.relation.isPublishedBy09f6769d-48ed-467d-b150-4cf2680656a1
oapen.relation.isFundedByH2020-EUB-2015
oapen.grant.number689772
oapen.grant.acronymHPC4E


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