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Conference papers
A Simple Guideline for Code Optimizations on Modern Architectures with OpenACC and CUDA
Abstract : Learn a simple strategy guideline to optimize applications runtime. The strategy is based on four steps and illustrated on a two-dimensional Discontinuous Galerkin solver for computational fluid dynamics on structured meshes. Starting from a CPU sequential code, we guide the audience through the different steps that allowed us to increase performances on a GPU around 149 times the original runtime of the code (performances evaluated on a K20Xm). The same optimization strategy is applied to the CPU code and increases performances around 35 times the original run time (performances evaluated on a E5-1650v3 processor). Finally, different hardware architectures (Xeon CPUs, GPUs, KNL) are benchmarked with the native CUDA implementation and one based on OpenACC.
https://hal-centralesupelec.archives-ouvertes.fr/hal-01527684
Contributor : Stéphane Vialle <>
Submitted on : Tuesday, May 30, 2017 - 11:52:14 AM
Last modification on : Tuesday, October 27, 2020 - 2:34:29 PM
Contributor : Stéphane Vialle <>
Submitted on : Tuesday, May 30, 2017 - 11:52:14 AM
Last modification on : Tuesday, October 27, 2020 - 2:34:29 PM