Hardware Selection Advice: Difference between revisions

* TUFLOW HPC - Run on GPU Hardware: A single model run uses the GPU(s) for computation. In general terms: The maximum model size is dependent on the available GPU and CPU RAM and the runtime is driven by the CUDA core speed, the number of CUDA cores available and the GPU architecture. GPU performance is complex and is not easily inferred from GPU clock speed and number of cores, it is also very dependent on the ‘generation’ or architecture of GPU. As TUFLOW HPC requires some data exchange between GPU and CPU, the motherboard bus speeds and CPU speeds also play a role but typically a much lesser role compared to the GPU CUDA compute.

* TUFLOW FV - Run on CPU Hardware: A single model run uses CPU and is parallelised to run across multiple cores. In general terms: The maximum model size is dependent on the available CPU RAM and the runtime is determined by the CPU speed, the number of cores available to be run in parallel, chip architecture and cache size.

 

On our <u>[[Hardware_Benchmarking_-_Results#CPU_Results | Hardware Benchmarking]]</u> page you can compare recently run combinations of GPU, CPU and RAM with the system you are planning to purchase. We recommend that if building a computer that you seek advise from an appropriate computer hardware vendor who can advise on the compatibility and optimisation of your setup.