3 Grid Levels (density, isosurface at 1.8) 
   Results:         
|   |  |   | 
| t=0.375 |  | t=0.5 | 
  Benchmark 
Adaptive computation with 3 grid levels 
| Task | P=1 | P=2 | P=4 | 
| s | % | s | % | s | % | 
| Integration | 26392 | 94.7 | 12486 | 84.3 | 6166 | 79.3 | 
| Flux correction | 428 | 1.5 | 670 | 4.5 | 423 | 5.4 | 
| Boundary setting | 233 | 0.8 | 1066 | 7.2 | 809 | 10.4 | 
| Recomposition | 402 | 1.4 | 323 | 2.2 | 207 | 2.7 | 
| Clustering | 165 | 0.6 | 93 | 0.6 | 52 | 0.7 | 
| Misc. | 250 | 0.9 | 171 | 1.2 | 109 | 1.5 | 
| Total / Parallel Efficiency | 27870 | 100.0 | 14810 | 94.1 | 7766 | 89.7 | 
|---|
Uniform refinement
| Task | P=1 | P=2 | P=4 | 
| s | % | s | % | s | % | 
| Integration | 74957 | 99.1 | 16884 | 80.8 | 8418 | 97.7 | 
| Flux correction | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 
| Boundary setting | 15 | 0.0 | 105 | 0.5 | 41 | 0.5 | 
| Recomposition | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 
| Clustering | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 
| Misc. | 634 | 0.9 | 3904 | 18.7 | 145 | 1.8 | 
| Total / Parallel Efficiency | 75606 | 100.0 | 20894 | 180.9 | 8604 | 219.7 | 
|---|
In this example large regions of the computational domain require adaption. The mere computational time of an adaptive and a uniformly refined calculation are similar. But, the adaptive computation reduces the memory demands. Therefore, the adaptive computation is much faster on a single node (P=1), but nearly equal times are achieved on four nodes (P=4).
Comparison between adaptive and uniformly refined computation
<--- Problem description       
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RalfDeiterding - 06 Dec 2004