- #HEC RAS CPU OR GPU HOW TO#
- #HEC RAS CPU OR GPU UPDATE#
- #HEC RAS CPU OR GPU PC#
- #HEC RAS CPU OR GPU ZIP#
![hec ras cpu or gpu hec ras cpu or gpu](https://www.hec.usace.army.mil/software/hec-ras/images/Graphics-Reporting.jpg)
![hec ras cpu or gpu hec ras cpu or gpu](https://www.hec.usace.army.mil/confluence/rasdocs/rassed1d/files/42174454/42174455/1/1607035275251/worddav78bea1c480d1f465e01472dc5c047890.png)
When using GPU hardware (available for TUFLOW HPC), the Graphics Card has the largest influence, specifically the number and speed of the CUDA cores. 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. This makes it easy to benchmark on a range of computers and the results are compiled below. In this page we outline a hardware benchmark model which is available to download from the TUFLOW website the model can be simulated without a TUFLOW dongle (license). The tables below showing computer specifications and model run-time should help you compare systems. However, for large models there may be requirements for a hefty computer.
#HEC RAS CPU OR GPU PC#
For a small model, TUFLOW should run on any modern PC or laptop that is capable of running Windows XP or later. This is always a tricky question, as the answer depends on the type and size of the models you are going to run. We frequently get asked, "What is the minimum or recommended hardware to use for TUFLOW modelling".
#HEC RAS CPU OR GPU ZIP#
If there is interest, I can easily make a zip of a project with all open-source data that will take 30-50 min to run so it can just be opened with the program and ran as is.
#HEC RAS CPU OR GPU UPDATE#
It is small and free to download (<400Mb) and currently has support for Windows and Linux* (*one update behind for Linux support) and it can run multiple instances at once to hammer any number of cores to full load (gets to ~60% use with one instance on 16 cores). My lab group purchased a computer with this information in mind a couple years ago and had great results, but after seeing the video I realized that this CPU only PDE solver would be a great gauge of the total performance on CPU intensive tasks that can come up in real workplace applications (including non-GPU computing coding executions). It goes on to explain that core count does not really affect the run times, and that RAM write speeds are also extremely important.
#HEC RAS CPU OR GPU HOW TO#
There is the free to use hydrodynamic solver called HEC-RAS (Hydrologic Engineering Center - River Analysis System) () that I use as a base for my research and the US Army Corps of Engineers who developed it put out this pdf on how to speed up run times (small models are 10-30min and large ones can take tens of hours) () with "Processor speed is paramount." in bold and underlined.
![hec ras cpu or gpu hec ras cpu or gpu](https://lh3.googleusercontent.com/-sLqzo1u2SYw/VYxMalsRLFI/AAAAAAAADXA/QlYx4Iog6Ak/017_thumb%255B1%255D.png)
Hello, I'm a grad student in the US and I just saw the clock speed video () and I remember a video in the past using SolidWorks.