Ludo_online

Ludo_online

Joined: 6/2/2022

  • Re: Hardware method to reduce the computation time

    Wed, 23 Dec 2015 11:25:13 GMT – Hardware method to reduce the computation time
    It may be an excellent idea to do a various time steps for the WQ and the HD.
    I will try and asses the performance on WQ result.

    My time step is low :
    time step : 0.5 s
    maximum dx : 100 m
    (a part of my river widens promptly, it seems to decrease stability)

    I write results every 5 minutes.
    And yes, I have only one branch. Confluences are integrated as point source inflows.

  • Hardware method to reduce the computation time

    Tue, 22 Dec 2015 14:48:15 GMT – Hardware method to reduce the computation time
    Hello mike community,

    I model a 23 km river. I use the Ecolab module. I did custom water quality equations myself.
    I model 3 month data by run. The computational time for a run is approximately 20 hours.

    I know I can reduce modeling time by:
    - Increasing the time step ( but it reduce stability )
    - Increasing the "space step" (but it reduce accuracy )
    - Simplifying the flow hypothesis and water quality equations. ( but, I will have to add even more equation quality )
    - ...

    But, what is the hardware element limiting the calculation speed?
    I run 4 (apparently the maximum) simultaneous version of the model at the same time.
    Each take 8% of a 12 core CPU.
    So I use only 33% of the total CPU powerness.
    How to found the bottleneck of the computational speed ? Any idea ?
    Thank you in advance if you have some ideas.

    A SSD harddrive could speed up calculation?


    Configuration :
    CPU: i7 3930k
    GPU: Geforce 210 ( not use in calculation, right ? )
    Motherboard: Asustek p9x79
    HD:  WD5000AAKX
    OS: win7 64bits
    RAM : 12 GB