Grasshopper

algorithmic modeling for Rhino

I just posted the following on the main GH forum.

"I know this has been discussed in the past but I would like to ask if there are any new considerations relating to an optimal hardware setup with the upcoming Rhino and GH updates in mind."

Are there any additional considerations relating to Honeybee and Ladybug, and programs they link to? I will be conducting a lot of energy and daylighting analysis and also hope to get into CFD with butterfly.

I would appreciate any input!

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Hi Ernst,

I don't think there is a single answer to this question. It depends on the type of the analysis you are trying to run.

Generally speaking the more RAM you have the better. Specially when it comes to butterfly/CFD/OpenFOAM you want to make sure you have enough memory for snappyHexMesh.

Both Radiance and OpenFoam can take advantage of parallel runs in non-Windows environments. Currently OpenFoam is using dockers to run OpenFOAM from Windows which is what Butterfly is using so you can run the analysis in Parallel even from Windows. In both cases having more cpus will decrease the time of the analysis.

Here is two benchmarking tests for Radiance: 1 and 2, and here is benchmarking test for EnergyPlus. You can find it both for the computer speed and processor speed.

Mostapha

Thank you for your thoughts, Mostapha.

Try to get a NIVIDA CUDA-enabled graphics card and install the Radiance ad-on that allows calcs to be run with GPU.

http://web.mit.edu/SustainableDesignLab/projects/Accelerad/

Thank you. I was not aware of this program.

Any thoughts on Nvidia Quadro vs. Geforce. The high end Quadros come with ECC memory. Is that worth investing in since I may be running simulations with CUDA? At the same time, a guy from Puget said that for the same money you get much better CUDA performance with a Geforce card. This seems to boil down to: is 16Gb of ECC memory (as opposed to 8Gb non-ECC) worth $1,000. 

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