HPC Introduction: Difference between revisions
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HPC cell discretisation is the same as in TUFLOW Classic, where the v velocities are defined on the horizontal mid-points between cell centres and the u-velocities on the vertical mid-points. <br>
===Compatible Graphic Cards===
TUFLOW HPC’s GPU hardware module requires an NVIDIA architecture CUDA enabled GPU. A list of CUDA enabled GPUs can be found on the following website: http://developer.nvidia.com/cuda-gpus.
To check if your computer has an NVIDA GPU and if it is CUDA enabled:
* Right click on the Windows desktop;
* If you see “NVIDIA Control Panel” or “NVIDIA Display” in the pop up dialogue, the computer has an NVIDIA GPU;
* Click on “NVIDIA Control Panel” or “NVIDIA Display” in the pop up dialogue;
* The GPU model should be displayed in the graphics card information;
* Check to see if the graphics card is listed on the following website: http://developer.nvidia.com/cuda-gpus
On the NVIDA website each CUDA enabled graphics card has a “Compute Capability” listed. For cards with a compute capability of 1.2 or less, only the single precision version of the GPU Module can be utilised. However, benchmarking has indicated that the double precision version is NOT required and that the TUFLOW_iSP exe should be used for all GPU simulations. Extensive GPU hardware benchmarking has been undertaken to assist users who are upgrading hardware for TUFLOW modelling. Over 50 different hardware options have been tested for their speed performance. The results are provided on the [[Hardware_Benchmarking | Hardware Benchmarking]] page.
===Benefits of HPC===
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