Reinforcement Learning within Tree Search for Fast Macro Placement
Macro placement is a crucial step in modern chip design, and reinforcement learning (RL)
has recently emerged as a promising technique for improving the placement quality …
has recently emerged as a promising technique for improving the placement quality …
Benchmarking end-to-end performance of ai-based chip placement algorithms
The increasing complexity of modern very-large-scale integration (VLSI) design highlights
the significance of Electronic Design Automation (EDA) technologies. Chip placement is a …
the significance of Electronic Design Automation (EDA) technologies. Chip placement is a …
SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation
We introduce SeaDAG, a semi-autoregressive diffusion model for conditional generation of
Directed Acyclic Graphs (DAGs). Considering their inherent layer-wise structure, we …
Directed Acyclic Graphs (DAGs). Considering their inherent layer-wise structure, we …
RTLRewriter: Methodologies for Large Models aided RTL Code Optimization
Register Transfer Level (RTL) code optimization is crucial for enhancing the efficiency and
performance of digital circuits during early synthesis stages. Currently, optimization relies …
performance of digital circuits during early synthesis stages. Currently, optimization relies …