Difference between revisions of "HPC Modelling Guidance"

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TUFLOW’s HPC solver was officially released in September 2017. It is a 1D and 2D fixed grid explicit solver with Graphics Processing Unit (GPU) compatibility. It's speed and exceptional stability are making it one of the most popular TUFLOW solvers. This is particularly the case in situations where the runtime benefits of the GPU Module mean models that were otherwise too computationally intensive to run on CPU can now be run within sensible timeframes. <br>
 
TUFLOW’s HPC solver was officially released in September 2017. It is a 1D and 2D fixed grid explicit solver with Graphics Processing Unit (GPU) compatibility. It's speed and exceptional stability are making it one of the most popular TUFLOW solvers. This is particularly the case in situations where the runtime benefits of the GPU Module mean models that were otherwise too computationally intensive to run on CPU can now be run within sensible timeframes. <br>
 
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[[File:HPC_Simulation_Speed_Up.PNG|frame|none| CPU /  GPU hardware speed comparison https://www.tuflow.com/Download/Presentations/2017/Huxley2017_IECA-SQ%20Conference_Brisbane_pdf.pdf]]
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[[File:HPC Simulation Speed Up.PNG|700px]]
  
 
The following links provide useful HPC guidance to users. Futher information is also available in the <u>[https://www.tuflow.com/Tuflow%20Documentation.aspx TUFLOW manual (2017 and onwards)]</u> and in the <u>[[Tutorial_Model |TUFLOW Tutorials]]</u>.
 
The following links provide useful HPC guidance to users. Futher information is also available in the <u>[https://www.tuflow.com/Tuflow%20Documentation.aspx TUFLOW manual (2017 and onwards)]</u> and in the <u>[[Tutorial_Model |TUFLOW Tutorials]]</u>.

Revision as of 12:03, 20 April 2018

TUFLOW’s HPC solver was officially released in September 2017. It is a 1D and 2D fixed grid explicit solver with Graphics Processing Unit (GPU) compatibility. It's speed and exceptional stability are making it one of the most popular TUFLOW solvers. This is particularly the case in situations where the runtime benefits of the GPU Module mean models that were otherwise too computationally intensive to run on CPU can now be run within sensible timeframes.

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The following links provide useful HPC guidance to users. Futher information is also available in the TUFLOW manual (2017 and onwards) and in the TUFLOW Tutorials.

Further Support
If you experience an issue that is not detailed in one of our HPC Modelling Guidance pages please send an email to support@tuflow.com