Vectorization, threading, and cache‐blocking considerations for hydrocodes on emerging architectures
| Autor: | R. T. Aulwes, T. M. Kelley, Mark A. Kenamond, Bryan Richard Lally, Brian Altom Jean, E. M. Nelson, Charles Roger Ferenbaugh, Matthew Thomas Bement, Devon M. Powell, J. M. Campbell, Jimmy Fung, Elizabeth G. Lovegrove |
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| Rok vydání: | 2015 |
| Předmět: |
Computer science
Applied Mathematics Mechanical Engineering Computational Mechanics Parallel computing Public domain Computer Science Applications Computational science Mechanics of Materials Loop nest optimization Radiation hydrodynamics Vectorization (mathematics) Threading (manufacturing) Code (cryptography) Polygon mesh Architecture |
| Zdroj: | International Journal for Numerical Methods in Fluids. 79:596-613 |
| ISSN: | 1097-0363 0271-2091 |
| Popis: | This work reports on considerations for improving computational performance in preparation for current and expected changes to computer architecture. The algorithms studied will include increasingly complex prototypes for radiation hydrodynamics codes, such as gradient routines and diffusion matrix assembly (e.g., in [1-6]). The meshes considered for the algorithms are structured or unstructured meshes. The considerations applied for performance improvements are meant to be general in terms of architecture (not specifically graphical processing unit (GPUs) or multi-core machines, for example) and include techniques for vectorization, threading, tiling, and cache blocking. Out of a survey of optimization techniques on applications such as diffusion and hydrodynamics, we make general recommendations with a view toward making these techniques conceptually accessible to the applications code developer. Published 2015. This article is a U.S. Government work and is in the public domain in the USA. |
| Databáze: | OpenAIRE |
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