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Re: 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
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
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