DOPP
Cross-source consensus on DOPP from 1 sources and 5 claims.
1 sources · 5 claims
Uses
How it works
Benefits
Highlighted claims
- DOPP uses PPA evaluation as a selective learning and ranking signal for 3D-IC partition selection. — A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models
- DOPP generates proxy-diverse candidates, evaluates an informative subset, fits a surrogate, verifies top predictions, and selects the best evaluated candidate. — A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models
- DOPP selects the final solution from both coreset evaluations and verified top surrogate predictions. — A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models
- DOPP improved PPA over Open3DBench while using many fewer evaluations than exhaustive search. — A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models
- DOPP can select candidates for different final PPA preferences rather than returning one fixed proxy-selected solution. — A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models