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Publications
Our publications provide insight into some of our leading-edge research.
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Artificial Intelligence and Machine Learning
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11 results found
Artificial Intelligence and Machine Learning
Circuits and VLSI Design
Clear all
2022
Artificial Intelligence and Machine Learning
Circuits and VLSI Design
2022
Efficient Arithmetic Block Identification with Graph Learning and Network-flow
Ziyi Wang, Zhuolun He, Chen Bai,
Haoyu Yang
, Bei Yu
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Mingjie Liu
,
Haoyu Yang
, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan,
Brucek Khailany
,
Haoxing (Mark) Ren
NeurIPS
LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update
Jiawei Zhao,
Steve Dai
,
Rangharajan Venkatesan
,
Brian Zimmer
, Mustafa Ali,
Ming-Yu Liu
,
Brucek Khailany
,
William Dally
, Anima Anandkumar
Why are Graph Neural Networks Effective for EDA Problems?
Haoxing (Mark) Ren
, Siddhartha Nath,
Yanqing Zhang
, Hao Chen,
Mingjie Liu
TransSizer: A Novel Transformer-Based Fast Gate Sizer
Siddhartha Nath, Geraldo Pradipta, Corey Hu, Tian Yang,
Brucek Khailany
,
Haoxing (Mark) Ren
TAG: Learning Circuit Spatial Embedding from Layouts
Keren Zhu, Hao Chen,
Walker Turner
, George F. Kokai, Po-Hsuan Wei, David Z. Pan,
Haoxing (Mark) Ren
XT-PRAGGMA: Crosstalk Pessimism Reduction Accessible by GPU Gate-level Simulations and Machine Learning
Vidya Chhabria,
Ben Keller
,
Yanqing Zhang
, Sandeep Vollala, Sreedhar Patty,
Haoxing (Mark) Ren
,
Brucek Khailany
Placement Optimization via PPA-Directed Graph Clustering
Yi-Chen Lu, Tian Yang, Sung Kyu Lim,
Haoxing (Mark) Ren
A 17–95.6 TOPS/W Deep Learning Inference Accelerator with Per-Vector Scaled 4-bit Quantization for Transformers in 5nm
Ben Keller
,
Rangharajan Venkatesan
,
Steve Dai
,
Stephen Tell
,
Brian Zimmer
,
William Dally
,
Tom Gray
,
Brucek Khailany
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks
Haoyu Yang
, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay,
Mark Kilgard
, Anima Anandkumar,
Brucek Khailany
, Vivek Singh,
Haoxing (Mark) Ren
Machine Learning and Algorithms: Let Us Team Up for EDA
Haoxing (Mark) Ren
,
Brucek Khailany
,
Matt Fojtik
,
Yanqing Zhang