The Survey of Chiplet-based Integrated Architecture: An EDA perspective
Enhancing performance while reducing costs is the fundamental design philosophy of
integrated circuits (ICs). With advancements in packaging technology, interposer-based …
integrated circuits (ICs). With advancements in packaging technology, interposer-based …
Reevaluating Google's Reinforcement Learning for IC Macro Placement
IL Markov - Communications of the ACM, 2024 - dl.acm.org
Reevaluating Google’s Reinforcement Learning for IC Macro Placement | Communications of
the ACM skip to main content ACM Digital Library home ACM Association for Computing …
the ACM skip to main content ACM Digital Library home ACM Association for Computing …
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
Real-world offline datasets are often subject to data corruptions (such as noise or
adversarial attacks) due to sensor failures or malicious attacks. Despite advances in robust …
adversarial attacks) due to sensor failures or malicious attacks. Despite advances in robust …
[PDF][PDF] The Survey of 2.5 D Integrated Architecture: An EDA Perspective
Enhancing performance while reducing costs is the fundamental design philosophy of
integrated circuits (ICs). With advancements in packaging technology, interposer-based …
integrated circuits (ICs). With advancements in packaging technology, interposer-based …
BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement
Chip placement is a crucial step in modern chip design, because it significantly impacts the
subsequent process and the overall quality of the final chip. The application of black-box …
subsequent process and the overall quality of the final chip. The application of black-box …
[CITAS][C] Adaptive Placement Algorithms for Energy-Efficient ML Graph Execution
Y Shen, M Wang, Y Liu, M Johnson, J Smith, E Brown