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GTC ON-DEMAND

Computational Fluid Dynamics
Presentation
Media
High-Order Unstructured Compressible Flow Solver on the GPU
Speakers:
Patrice Castonguay
- Stanford University
Abstract:
The objective of this project is to develop a scalable and efficient high-order unstructured compressible flow solver for GPUs. The solver allows the achievement of arbitrary order of accuracy for flows over complex geometries. High-order solvers require more operations per degree of freedom, thus making them highly suitable for massively parallel processors. Preliminary results indicate speed-ups up to 70x with the Tesla C1060 compared to the Intel i7 CPU. Memory access was optimized using shared and texture memory.
 
Topics:
Computational Fluid Dynamics
Type:
Poster
Event:
GTC Silicon Valley
Year:
2010
Session ID:
P10D01
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