MLCAD

Publications

2023

Youngsoo Shin
AI-EDA: Toward a Holistic Approach to AI-Powered EDA. MLCAD (2023)
Wonjae Lee, Insu Cho, Gangmin Cho, Youngsoo Shin
Routability-Driven Power Distribution Network Synthesis with IR-Drop Budgeting. MLCAD (2023)
Yikang Ouyang, Sicheng Li, Dongsheng Zuo, Hanwei Fan, Yuzhe Ma
ASAP: Accurate Synthesis Analysis and Prediction with Multi-Task Learning. MLCAD (2023)
5th ACM/IEEE Workshop on Machine Learning for CAD, MLCAD 2023, Snowbird, UT, USA, September 10-13, 2023 MLCAD (2023)
Prianka Sengupta, Aakash Tyagi, Yiran Chen, Jiang Hu
Early Identification of Timing Critical RTL Components using ML based Path Delay Prediction. MLCAD (2023)
Animesh Basak Chowdhury, Jitendra Bhandari, Luca Collini, Ramesh Karri, Benjamin Tan, Siddharth Garg
ConVERTS: Contrastively Learning Structurally InVariant Netlist Representations. MLCAD (2023)
Georges Gielen
Analog synthesis 3.0: AI/ML to synthesize and test analog ICs: hope or hype ? MLCAD (2023)
Bhuvnesh Kumar, Ganapathy Parthasarathy, Saurav Nanda, Sridhar Rajakumar
Optimizing Constrained Random Verification with ML and Bayesian Estimation. MLCAD (2023)
Ismail Bustany, Grigor Gasparyan, Amit Gupta, Andrew B. Kahng, Meghraj Kalase, Wuxi Li, Bodhisatta Pramanik
The 2023 MLCAD FPGA Macro Placement Benchmark Design Suite and Contest Results. MLCAD (2023)
Guangyu Hu, Wei Zhang, Hongce Zhang
NeuroPDR: Integrating Neural Networks in the PDR Algorithm for Hardware Model Checking. MLCAD (2023)
Jaeseung Lee, Sejin Park, Minhyeok Kweon, Seokhyeong Kang
Machine Learning-based Fast Circuit Simulation for Analog Circuit Array. MLCAD (2023)
Rodion Novkin, Simon Thomann, Hussam Amrouch
ML-TCAD: Perspectives and Challenges on Accelerating Transistor Modeling using ML. MLCAD (2023)
Norman Chang
ML-augmented Simulation and Co-optimization for Semiconductor Applications and Design WorkflowsBeyond. MLCAD (2023)
Fin Amin, Soumyadeep Chatterjee, Paul D. Franzon
DepthGraphNet: Circuit Graph Isomorphism Detection via Siamese-Graph Neural Networks. MLCAD (2023)
Daniela Sanchez Lopera, Ishwor Subedi, Wolfgang Ecker
Using Graph Neural Networks for Timing Estimations of RTL Intermediate Representations. MLCAD (2023)
Ivo Bolsens
Bridging Divides: Unifying AI Architectures from from Edge to Cloud. MLCAD (2023)
Yoonsang Song, Gangmin Cho, Wonjae Lee, Youngsoo Shin
Simultaneous Clock Wire Sizing and Shield Insertion for Minimizing Routing Blockage. MLCAD (2023)
Wei Li, Ruben Purdy, José M. F. Moura, R. D. Shawn Blanton
Characterize the ability of GNNs in attacking logic locking. MLCAD (2023)
Michael Kazda, Michael D. Monkowski, George Antony
APEX: Recommending Design Flow Parameters Using a Variational Autoencoder. MLCAD (2023)
Zhengfeng Wu, Isabel Song, Ioannis Savidis
Hybrid Utilization of Subgraph Isomorphism and Relational Graph Convolutional Networks for Analog Functional Grouping Annotation. MLCAD (2023)
Jason Blocklove, Siddharth Garg, Ramesh Karri, Hammond Pearce
Chip-Chat: Challenges and Opportunities in Conversational Hardware Design. MLCAD (2023)
Zhuolun He, Haoyuan Wu, Xinyun Zhang, Xufeng Yao, Su Zheng, Haisheng Zheng, Bei Yu
ChatEDA: A Large Language Model Powered Autonomous Agent for EDA. MLCAD (2023)
Chuck Alpert
Beyond Hyperparameter Optimization: Using AI to address Digital Implementation Challenges. MLCAD (2023)
Yannick Uhlmann, Till Moldenhauer, Jürgen Scheible
Differentiable Neural Network Surrogate Models for gm/ID-based Analog IC Sizing Optimization. MLCAD (2023)
Zhi-Hong Lee, Chen-Han Lu, Hsin-Hung Pan, Ting-Chi Wang, Po-Yuan Chen, Cindy Chin-Fang Shen
A Robust Routing Guide Generation Approach for Mixed-Size Designs. MLCAD (2023)
Bei Yu
Machine Learning in EDA: When and How. MLCAD (2023)
Yishuang Lin, Yaguang Li, Meghna Madhusudan, Sachin S. Sapatnekar, Ramesh Harjani, Jiang Hu
MMM: Machine Learning-Based Macro-Modeling for Linear Analog ICs and ADC/DACs. MLCAD (2023)

2022