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2017 GTC San Jose

S7626 - A Simple Guideline for Code Optimizations on Modern Architectures with OpenACC and CUDA

Session Speakers
Session Description

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.


Additional Session Information
All
Talk
Algorithms Computational Fluid Dynamics Performance Optimization
Aerospace Architecture / Engineering / Construction Software
25 minutes
Session Schedule