Exudyn version= 1.6.0; Python3.9.11; Windows AVX2 FLOAT64[FAST] 
Run general parameter variation 
threadingType=NGsolve 
exudynFast=True 
run parameter variation: Python= 3.9.11 
compute case: MassSpringDampers 
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* run with 1 threads * 
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--- 470.2916142940521 seconds --- 
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* run with 4 threads * 
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--- 185.0533745288849 seconds --- 
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* run with 8 threads * 
******************************* 
--- 129.23392963409424 seconds --- 
******************************* 
* run with 12 threads * 
******************************* 
--- 119.99933052062988 seconds --- 
******************************* 
* run with 14 threads * 
******************************* 
--- 122.02856779098511 seconds --- 
**********
case MassSpringDampers took 1028.2478132247925 seconds
**********
 
compute case: Robots 
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* run with 1 threads * 
******************************* 
**********************
use KinematicTree 
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use KinematicTree 
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use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
--- 26.969887495040894 seconds --- 
******************************* 
* run with 4 threads * 
******************************* 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
--- 11.258951663970947 seconds --- 
******************************* 
* run with 8 threads * 
******************************* 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
--- 8.335962295532227 seconds --- 
******************************* 
* run with 12 threads * 
******************************* 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
--- 7.9579668045043945 seconds --- 
******************************* 
* run with 14 threads * 
******************************* 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
--- 9.163960695266724 seconds --- 
**********
case Robots took 64.91972637176514 seconds
**********
 
compute case: Robots 
******************************* 
* run with 1 threads * 
******************************* 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
--- 27.01740288734436 seconds --- 
******************************* 
* run with 8 threads * 
******************************* 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
**********************
use KinematicTree 
--- 8.433962106704712 seconds --- 
**********
case Robots took 37.026363372802734 seconds
**********
 
compute case: Robots 
******************************* 
* run with 1 threads * 
******************************* 
--- 215.27260446548462 seconds --- 
******************************* 
* run with 4 threads * 
******************************* 
--- 113.1940062046051 seconds --- 
******************************* 
* run with 8 threads * 
******************************* 
--- 93.28066778182983 seconds --- 
******************************* 
* run with 12 threads * 
******************************* 
--- 88.98810958862305 seconds --- 
******************************* 
* run with 14 threads * 
******************************* 
--- 95.15794801712036 seconds --- 
**********
case Robots took 607.0783305168152 seconds
**********
 
