HPC FAQ: Difference between revisions

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* The CME%, which is an excellent indicator that the Classic 2D solver is numerically converging, is not generally of use for HPC, which is volume conserving and effectively 0% subject to numerical precision. Non-zero whole of model CME% for HPC 1D/2D linked models is usually an indication of either the 1D and 2D adaptive timesteps being significantly different, or a poorly configured 1D/2D link.
 
= How much faster is TUFLOW HPC comparingcompared to Classic? =
This is largely based on hardware that is used to run HPC models (CPU and GPU) and its performance. On average, HPC using GPU hardware runs about 10 to 20 times faster than Classic and about 30 to 40 times faster than HPC using CPUthe withdefault number twoof CPU threads (current default is 4). Even though HPC using CPU hardware is inwith default generalsettings slower than Classic, more CPU threads can be used to achieve faster run times. As TUFLOW Classic is not parallelised it can only run on one CPU thread and the runtime cannot be further improved even with availablemore CPU resources.<br>
For further information and discussion see: [[Hardware_Benchmarking_Topic_HPC_on_CPU_vs_GPU | Hardware Benchmarking Topic HPC on CPU vs GPU]]