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I am seeking examples or guidance on how to leverage Numba and NVIDIA GPU acceleration directly within the PyMechanical and PyMAPDL libraries of the PyAnsys project.
While I understand that Ansys Mechanical and MAPDL have built-in support for GPU acceleration, my goal is to explore the potential of custom GPU-accelerated computations using Numba and CUDA in conjunction with PyAnsys tools.
Questions:
Is it possible to integrate Numba with PyMechanical and PyMAPDL for custom GPU-accelerated computations?
Can NVIDIA GPUs be utilized effectively within PyMechanical and PyMAPDL for enhanced performance?
Has Ansys extended tutorials about how to use GPUs for the Ansys Fluent / Ansys Mechanical to speed up simulations?
Environment
Operating System: Windows 11
Ansys Version: 2022R2
NVIDIA Driver Version: 546.01
CUDA Version: 12.3
GPU Model: NVIDIA GeForce RTX 4060
CUDA Toolkit Version: 12.3
How to check the version of NVIDIA and CUDA on Windows 11:
Description
I am seeking examples or guidance on how to leverage Numba and NVIDIA GPU acceleration directly within the PyMechanical and PyMAPDL libraries of the PyAnsys project.
While I understand that Ansys Mechanical and MAPDL have built-in support for GPU acceleration, my goal is to explore the potential of custom GPU-accelerated computations using Numba and CUDA in conjunction with PyAnsys tools.
Questions:
Environment
How to check the version of NVIDIA and CUDA on Windows 11:
NVIDIA and CUDA version:
Ouput:
CUDA Toolkit version
Output:
p.s.
if I missed something in the issue description, please let me know and I will try to add it.
🐍 Which Python version are you using?
3.11
📦 Installed packages
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