Hardware Benchmarking: Difference between revisions
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=Introduction=
We frequently get asked, "What is the minimum or recommended hardware to use for TUFLOW modelling".
The tables below showing computer specifications and model run-time should help you compare systems. <br>
In this page we outline a hardware benchmark model which
We have typically found that for TUFLOW Classic, the CPU speed is the largest influence on TUFLOW runtimes, with the RAM speed also having an influence for large models. When using GPU hardware (available for TUFLOW HPC), the Graphics Card has the largest influence, specifically the number and speed of the CUDA cores. In order to quantify this we are compiling the computational times required for a range of different machines.
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To participate in the benchmark, please follow the steps below:
<ol>
<li> Download the model from <u>[https://downloads.tuflow.com
<li> Extract the model on a local drive of the computer you would like to benchmark.
<li> Navigate to the '''TUFLOW\runs\''' folder and run the '''Run_Benchmark.bat''' file. This checks if you are running a 32 or 64 bit system and then runs the benchmark. This also generates some output files that contain more information on the processor, memory and GPU card that you are using.
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<li> Email the _ TUFLOW Simulations.log, cpu.txt, ram.txt and GPU.txt files to [mailto:support@tuflow.com support@tuflow.com] and we will includes these in the results tables below.<br>
</ol>
'''Note''': An NVIDIA graphics card that is CUDA compatible is required to run the GPU model. <br>▼
▲'''Note''' An NVIDIA graphics card that is CUDA compatible is required to run the GPU model. <br>
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*[[Hardware_Benchmarking_Topic_Single_Precision_VS_Double_Precision | Single Precision Vs Double Precision]]
*[[ Hardware Selection Advice]]
==Hardware Selection Advice==
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