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2017 GTC San Jose

S7148 - Using Kokkos for Performant Cross-Platform Acceleration of Liquid Rocket Simulations

Session Speakers
Session Description

We'll demonstrate acceleration of a large, preexisting Fortran fluid dynamics solver using Kokkos, a C++ library that enables a single codebase to achieve high performance on multiple parallel architectures, including NVIDIA GPUs. We'll describe the complete process: identifying performance-critical physics subroutines, porting and optimizing these routines, integrating Kokkos C++ with the main Fortran code in a minimally invasive way, and tuning cluster-level performance. We'll compare the performance achieved when Kokkos uses NVIDIA Tesla K40 GPUs, Knight's Corner Xeon Phis, and Xeon CPUs. We'll also present some GPU-specific optimizations. For "trivially parallel" physics calculations, assigning one NVIDIA CUDA thread to each grid point may not be ideal. If a small team works cooperatively on each grid point, performance can improve due to the larger amount of effective cache available to each team.


Additional Session Information
Intermediate
Talk
Computational Fluid Dynamics Computer Aided Engineering Tools and Libraries
25 minutes
Session Schedule