Port Selection on Simulated Port Selection Scenario P=100, L=8, K=10, R=3 (val)
0.15Time (ms)CUMA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| CUMAP=100, L=8, K=10, R=3, Hardware=Intel Core Ultra 7 (16c, 3.8 GHz), 32 GB RAM, 8 GB GPU, Software=Python 3.13, PyTorch 2.62026.04 | 0.15 | — | |
| Slow-FAMAP=100, L=8, K=10, R=3, Hardware=Intel Core Ultra 7 (16c, 3.8 GHz), 32 GB RAM, 8 GB GPU, Software=Python 3.13, PyTorch 2.62026.04 | 0.28 | — | |
| DCP=100, L=8, K=10, R=3, Hardware=Intel Core Ultra 7 (16c, 3.8 GHz), 32 GB RAM, 8 GB GPU, Software=Python 3.13, PyTorch 2.62026.04 | 0.42 | 3 | |
| NNP=100, L=8, K=10, R=3, Hardware=Intel Core Ultra 7 (16c, 3.8 GHz), 32 GB RAM, 8 GB GPU, Software=Python 3.13, PyTorch 2.62026.04 | 1.53 | 2 | |
| GFwdP=100, L=8, K=10, R=3, Hardware=Intel Core Ultra 7 (16c, 3.8 GHz), 32 GB RAM, 8 GB GPU, Software=Python 3.13, PyTorch 2.62026.04 | 90.9 | 4 | |
| GEPortP=100, L=8, K=10, R=3, Hardware=Intel Core Ultra 7 (16c, 3.8 GHz), 32 GB RAM, 8 GB GPU, Software=Python 3.13, PyTorch 2.62026.04 | 232.04 | 3 | |
| GFwd+SP=100, L=8, K=10, R=3, Hardware=Intel Core Ultra 7 (16c, 3.8 GHz), 32 GB RAM, 8 GB GPU, Software=Python 3.13, PyTorch 2.62026.04 | 385.13 | 4 |