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