Internal:Metric Adaptive CDT3D: Difference between revisions

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= Delta Wing 50k Complexity (Scitech 2018) =
<span id="Contents"></span>
= Data =
[[Internal:Adaptive CDT3D Results | Adaptive CDT3D Results ]]


[[File:Delta_wing_50k_parallel_scitech.png| 500px]]
= Integration with SU2 =
==Preliminary data  ==
* SU2 + refine + CDT3D pipeline [http://www.cs.odu.edu/crtc/SU2/SU2_pipeline.svg]
{| class="wikitable" style="text-align: right;"
* SU2 + refine + CDT3D, ONERAM6 invicid [http://www.cs.odu.edu/crtc/SU2/onera_invicid.pdf]
|+ All time data are given in seconds.
! rowspan="2" | # Threads
! rowspan="2" | # Tetrahedra
! rowspan="2" | # Vertices
! rowspan="2" | Intitialize Bg Mesh
! rowspan="2" | Boundary Adaptation (MMGS)
! rowspan="2" | Boundary Recovery
! colspan="6" style="text-align: center;" | Mesh Refinement
! rowspan="2" | Total Time
(without MMGS)
! rowspan="2" | Memory (GB)
|-
! # Iterations
! Par. Deactivation
! Par. Vertex Creation
! Vertex Insertion
! Partition
! Par. Reconnection
|-
| 12
| 363,278                                                                                                                             
| 63,198                                                                                                                               
| 1.41                                                                                                                                 
| 6.27                                                                                                                                 
| 0.33                                                                                                                                 
| 22                                                                                                                                 
| 0.32                                                                                                                                 
| 1.55                                                                                                                                 
| 0.11                                                                                                                                                                                                                                                                   
| 1.62                                                                                                                                 
| 8.24                                                                                                                                 
| 19.99                                                                                                                                 
| 0.86
|-
| 24
| 363,756
| 63,270
| 1.49   
| 6.26   
| 0.33   
| 22   
| 0.2   
| 0.88   
| 0.11       
| 1.6   
| 5.13   
| 16.15 
| 1.31
|}


== Notes ==
* SU2 + refine + CDT3D, steady laminar flow low mach number over delta wing
* according to Mike's email mesh should be around 100k vertices
** meshes [http://www.cs.odu.edu/crtc/SU2/delta_wing.pdf]
* Metric Input Data available at [https://github.com/UGAWG/parallel-adapt-results/tree/master/delta-wing/fun3d-fv-lp2 https://github.com/UGAWG/parallel-adapt-results ]
** solution cuts of the vortex [http://www.cs.odu.edu/crtc/SU2/delta_vortex.pdf]
* Input surface is the coase mesh available at [https://github.com/UGAWG/solution-adapt-cases/delta-wing/initial-grid/delta01.meshb https://github.com/UGAWG/solution-adapt-cases]
**  video [http://www.cs.odu.edu/crtc/SU2/delta_wing_005.ogv]
* The experiments performed on a DELL workstation with Linux Red Hat Enterprise, 24 hardware cores Intel® Xeon® CPU E5-2697v2@2.70 GHz, and 757 GB RAM
 
* Memory is measured at the end of Mesh refinement and thus it may reach a slightly higher value before the point of measurement
= Improvements =
* parameters <code> --brec=2 --met=1 --meval=3 --mrecm2=1 --mrec4=1  --nadapt=2 --malign=0 --mpp=2  --ndfs=0 --nthreads=$THREADS --nbuckets=20*$THREADS --nthreadsaf=20*$THREADS --nbucketsaf=20*${THREADS} --blockmul=500000 --nqual=0 --nminpts=30 --ordt=0 --pardeact=1 --mdse=0  </code>
[[Internal:Adaptive CDT3D - Smoothing | Metric Adaptive Smoothing ]]
* using commit <code> bb7819619eb9b8831ac1d4515b9605869df72b47</code> or tag <code> Delta-wiki </code>
 
* smoothing : [https://onlinelibrary.wiley.com/doi/abs/10.1002/%28SICI%291097-0207%2819971115%2940%3A21%3C3979%3A%3AAID-NME251%3E3.0.CO%3B2-9 Tetrahedral Mesh Improvement Using Swapping and Smoothing, Lori A. Freitag and Carl Ollivier-Gooch ]
= General Notes =
* [https://epubs.siam.org/doi/abs/10.1137/0715011 An Efficient Method to Solve the Minimax Problem Directly]
* [[Internal:ACDT3D_Quality_Criteria | Comparison for quality criteria for ACDT3D]]
* [[Internal:ACDT3D_(Scitech2018)_stability_data | Stability Data for 500k]]
[[#Contents | Back To Top]]

Latest revision as of 12:42, 22 November 2018

Data

Adaptive CDT3D Results

Integration with SU2

  • SU2 + refine + CDT3D pipeline [1]
  • SU2 + refine + CDT3D, ONERAM6 invicid [2]
  • SU2 + refine + CDT3D, steady laminar flow low mach number over delta wing
    • meshes [3]
    • solution cuts of the vortex [4]
    • video [5]

Improvements

Metric Adaptive Smoothing

General Notes

Back To Top

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