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GPU Computing Solutions
Additional Info
- Software Development Tools
Programming CUDA-enabled GPUs
- NVIDIA CUDA
- Webinars
Learn more about GPU computing and CUDA-enabled applications through these webinars
- Request Resource CD
If you are new to GPU computing or would like to add to your knowledge of NVIDIA CUDA programming and Tesla hardware then this resource CD is for you.
Relevant Links
Computational Structural Mechanics
ANSYS, Abaqus, MSC Nastran, IMPETUS Afea and other structural mechanics applications benefit greatly by using CUDA-enabled GPUs.
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| ISV/Application | Supported Features | Expected Speed up* | Release Status |
| ANSYS Mechanical | Direct & iterative solver | 2x | Released |
| Abaqus | Direct solver | 2x | Released |
| Impetus | SPH, blast simulations | 2x | Released |
| MSC Nastran | Direct solver | 1.5-2x | Released |
* Expected Speed Up vs a quad-core x64 CPU based system. Speed-ups as per NVIDIA in house testing or application provider documentation.
Core solvers on CUDA GPUs
- Acceleware Matrix Solvers
- Dense Linear Algebra library (MAGMA)
- GPU accelerated linear algebra library (CULA)
- Sparse Matrix Linear Solvers : Iterative solvers
- Sparse Matrix Linear Solvers : Direct solvers
CUDA-Acceleration in Related Verticals
See Also
- Tesla/CUDA Success stories
- Other Tesla Vertical Solutions
- CUDA Software development tools & libraries
- Buy Tesla
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