Hardware Architecture · Computer Science
Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework
Ting-Ru Lin, Drew Penney, Massoud Pedram, Lizhong Chen
2019-05-14
Hardware Architecture · Computer Science
An Extended Study of Gear-Ratio-Aware Standard Cell Layout Generation for DTCO Exploration
Chung-Kuan Cheng, Andrew B. Kahng, Bill Lin, Yucheng Wang +1
2026-03-17
Machine Learning · Computer Science
TOPCELL: Topology Optimization of Standard Cell via LLMs
Zhan Song, Yu-Tung Liu, Chen Chen, Guoheng Sun +5
2026-04-17
Hardware Architecture · Computer Science
CellE: Automated Standard Cell Library Extension via Equality Saturation
Yi Ren, Yukun Wang, Xiang Meng, Guoyao Cheng +5
2026-03-30
Hardware Architecture · Computer Science
AutoCellLibX: Automated Standard Cell Library Extension Based on Pattern Mining
Tingyuan Liang, Jingsong Chen, Lei Li, Wei Zhang
2022-07-26
Machine Learning · Computer Science
Delving into Macro Placement with Reinforcement Learning
Zixuan Jiang, Ebrahim Songhori, Shen Wang, Anna Goldie +4
2021-09-07
Hardware Architecture · Computer Science
Non-Overlapping Placement of Macro Cells based on Reinforcement Learning in Chip Design
Tao Yu, Peng Gao, Fei Wang, Ru-Yue Yuan
2024-10-01
Networking and Internet Architecture · Computer Science
Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning
Marvin Illian, Ramin Khalili, Antonio A. de A. Rocha, Lin Wang
2026-01-21
Artificial Intelligence · Computer Science
Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors
Cameron Haigh, Zichen Zhang, Negar Hassanpour, Khurram Javed +4
2022-03-01
Information Theory · Computer Science
Deep Reinforcement Learning for Scheduling in Cellular Networks
Jian Wang, Chen Xu, Yourui Huangfu, Rong Li +2
2019-07-24
Machine Learning · Computer Science
PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning
Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin +5
2022-05-17
Distributed, Parallel, and Cluster Computing · Computer Science
LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction
Zhigang Wang, Hangyu Yang, Ning Wang, Chuanfei Xu +4
2024-01-23
Machine Learning · Computer Science
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li +2
2021-11-12
Robotics · Computer Science
RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning
Matthew Lai, Keegan Go, Zhibin Li, Torsten Kroger +3
2025-09-09
Optimization and Control · Mathematics
Q-Learning for 3D Coverage in VCSEL-based Optical Wireless Systems
Hossein Safi, Rizwana Ahmad, Iman Tavakkolnia, Harald Haas
2026-02-04
Machine Learning · Computer Science
Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-based RAN Optimization
Jimmy Li, Igor Kozlov, Di Wu, Xue Liu +1
2024-08-14
Computer Vision and Pattern Recognition · Computer Science
Neural Design Network: Graphic Layout Generation with Constraints
Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B Le +3
2020-07-20