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2019 GTC San Jose

S9665 - Acceleration of an Adaptive Cartesian Mesh CFD Solver in the Current Generation Processor Architectures

Session Speakers
Session Description

We'll explore the challenges of accelerating an adaptive Cartesian mesh CFD Solver, PARAS-3D, in existing CPUs and GPUs. The memory-bound nature of CFD codes is an obstacle to higher performance, and the opt-tree structure of adaptive Cartesian meshes adds the challenge of data parallelism. Cartesian mesh solvers have higher memory bandwidth requirements due to their larger and varying stencil. We'll detail how redesigning and implementing a legacy Cartesian mesh CFD solver and improving algorithms and data structures helped us achieve higher performance in CPUs. We'll also explain how we used a structure of array-based data layout and GPU features like Unified Memory and Multi Process Service to improve GPU performance over a CPU-only version.


Additional Information
Computational Fluid Dynamics
Computational Fluid Dynamics
Aerospace
Beginner technical
Talk
50 minutes
Session Schedule