Internal:Metric Adaptive CDT3D: Difference between revisions

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* 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>
* 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>
* using commit <code> bb7819619eb9b8831ac1d4515b9605869df72b47</code> or tag <code> Delta-wiki </code>
* using commit <code> bb7819619eb9b8831ac1d4515b9605869df72b47</code> or tag <code> Delta-wiki </code>
==500k Complexity ==
= General Notes =
= General Notes =
* 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 ] [http://www.cs.odu.edu/crtc/internal/Christos/Freitag_et_al-1997-International_Journal_for_Numerical_Methods_in_Engineering.pdf PDF]
* 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 ] [http://www.cs.odu.edu/crtc/internal/Christos/Freitag_et_al-1997-International_Journal_for_Numerical_Methods_in_Engineering.pdf PDF]
* [https://epubs.siam.org/doi/abs/10.1137/0715011 An Efficient Method to Solve the Minmax Problem Directly] [http://www.cs.odu.edu/crtc/internal/Christos/Charalambous_An_Efficient_Method_To_Solve_The_Minmax_problem_directly.pdf PDF]
* [https://epubs.siam.org/doi/abs/10.1137/0715011 An Efficient Method to Solve the Minmax Problem Directly] [http://www.cs.odu.edu/crtc/internal/Christos/Charalambous_An_Efficient_Method_To_Solve_The_Minmax_problem_directly.pdf PDF]
==500k Complexity ==

Revision as of 17:52, 15 May 2018

Delta Wing (Scitech 2018)

50k Complexity

Starting from a coarse surface mesh

All time data are given in seconds.
# Threads # Tetrahedra # Vertices Intitialize Bg Mesh Boundary Adaptation (MMGS) Boundary Recovery Mesh Refinement Total Time

(without MMGS)

Memory (GB)
# Iterations Par. Deactivation Par. Vertex Creation Vertex Insertion Partition Par. Reconnection
1 357,165 62,177 1.44 6.32 0.36 20 2.09 11.92 0.09 1.26 57.35 80.97 0.44
6 361,037 62,795 1.49 6.23 0.35 21 0.51 2.78 0.11 1.45 14.06 27.12 0.63
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

  • according to Mike's email mesh should be around 100k vertices
  • Metric Input Data available at https://github.com/UGAWG/parallel-adapt-results
  • Input surface is the coase mesh available at https://github.com/UGAWG/solution-adapt-cases
  • 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
  • parameters --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
  • using commit bb7819619eb9b8831ac1d4515b9605869df72b47 or tag Delta-wiki

500k Complexity

General Notes