Table 1 Parameters and some runtime statistics for the 1,024 task runs of the experiment
From: PHEW: a parallel segmentation algorithm for three-dimensional AMR datasets
\(N_{\mathrm{parts}}\) | 5123 | 1,0243 |
\(N_{\mathrm{tasks}}\) | 1,024 | 1,024 |
Density threshold | \(80 \rho_{\mathrm{crit}}\) | \(80 \rho_{\mathrm{crit}}\) |
Relevance threshold | 3 | 3 |
Saddle threshold | \(200 \rho_{\mathrm{crit}}\) | \(200 \rho_{\mathrm{crit}}\) |
Number of test cells | 104,360,968 | 835,609,288 |
Number of density peaks | 6,714,764 | 53,994,995 |
Number of relevant clumps | 1,311,208 | 10,612,079 |
Number of haloes* | 521,185 | 4,234,746 |
Runtime | 8.0 s | 38.9 s |
Number of iterations for… | ||
…watershed segmentation | 7 | 9 |
…noise removal | ||
Level 1 | 7 | 7 |
Level 2 | 5 | 6 |
Level 3 | 4 | 4 |
Level 4 | 2 | 3 |
Level 5 | 1 | 2 |
Level 6 | 1 | 1 |
Level 7 | 1 | 1 |
Level 8 | 1 | |
…substructure merging | ||
Level 1 | 4 | 3 |
Level 2 | 3 | 4 |
Level 3 | 3 | 3 |
Level 4 | 2 | 2 |
Level 5 | 1 | 2 |
Level 6 | 1 | 1 |
Level 7 | 1 |