Haoxing Ren

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 74

Top Topics

Satisfiability Modulo Theories

Top Venues

Publications

Yun-Da Tsai, Mingjie Liu, Haoxing Ren
Code Less, Align More: Efficient LLM Fine-tuning for Code Generation with Data Pruning. CoRR (2024)
Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Rongjian Liang, Haoxing Ren, Sachin S. Sapatnekar, Bing-Yue Wu
OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education. VTS (2024)
Rongjian Liang, Anthony Agnesina, Wen-Hao Liu, Haoxing Ren
GPU/ML-Enhanced Large Scale Global Routing Contest. ISPD (2024)
Yingjie Li, Anthony Agnesina, Yanqing Zhang, Haoxing Ren, Cunxi Yu
BoolGebra: Attributed Graph-Learning for Boolean Algebraic Manipulation. DATE (2024)
Yingjie Li, Anthony Agnesina, Yanqing Zhang, Haoxing Ren, Cunxi Yu
BoolGebra: Attributed Graph-learning for Boolean Algebraic Manipulation. CoRR (2024)
Chia-Tung Ho, Haoxing Ren
Large Language Model (LLM) for Standard Cell Layout Design Optimization. CoRR (2024)
Haoyu Yang, Anthony Agnesina, Haoxing Ren
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent. CoRR (2024)
Chia-Tung Ho, Ajay Chandna, David Guan, Alvin Ho, Minsoo Kim, Yaguang Li, Haoxing Ren
Novel Transformer Model Based Clustering Method for Standard Cell Design Automation. ISPD (2024)
Anthony Agnesina, Rongjian Liang, Geraldo Pradipta, Anand Rajaram, Haoxing Ren
GOALPlace: Begin with the End in Mind. CoRR (2024)
Haoyu Yang, Haoxing Ren
ILILT: Implicit Learning of Inverse Lithography Technologies. CoRR (2024)
Yi-Chen Lu, Haoxing Ren, Hao-Hsiang Hsiao, Sung Kyu Lim
GAN-Place: Advancing Open Source Placers to Commercial-quality Using Generative Adversarial Networks and Transfer Learning. ACM Trans. Design Autom. Electr. Syst. 29 (2) (2024)
Amit Sharma, Teodor-Dumitru Ene, Kishor Kunal, Mingjie Liu, Zafar Hasan, Haoxing Ren
Assessing Economic Viability: A Comparative Analysis of Total Cost of Ownership for Domain-Adapted Large Language Models versus State-of-the-art Counterparts in Chip Design Coding Assistance. CoRR (2024)
Mingjie Liu, Minwoo Kang, Ghaith Bany Hamad, Syed Suhaib, Haoxing Ren
Domain-Adapted LLMs for VLSI Design and Verification: A Case Study on Formal Verification. VTS (2024)
Rongjian Liang, Anthony Agnesina, Haoxing Ren
MedPart: A Multi-Level Evolutionary Differentiable Hypergraph Partitioner. ISPD (2024)
YunDa Tsai, Mingjie Liu, Haoxing Ren
RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models. CoRR (2023)
Hao Chen, Kai-Chieh Hsu, Walker J. Turner, Po-Hsuan Wei, Keren Zhu, David Z. Pan, Haoxing Ren
Reinforcement Learning Guided Detailed Routing for Custom Circuits. ISPD (2023)
Chia-Tung Ho, Alvin Ho, Matthew Fojtik, Minsoo Kim, Shang Wei, Yaguang Li, Brucek Khailany, Haoxing Ren
NVCell 2: Routability-Driven Standard Cell Layout in Advanced Nodes with Lattice Graph Routability Model. ISPD (2023)
Dian-Lun Lin, Yanqing Zhang, Haoxing Ren, Brucek Khailany, Shih-Hsin Wang, Tsung-Wei Huang
GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs. DAC (2023)
Rongjian Liang, Anthony Agnesina, Geraldo Pradipta, Vidya A. Chhabria, Haoxing Ren
Invited Paper: CircuitOps: An ML Infrastructure Enabling Generative AI for VLSI Circuit Optimization. ICCAD (2023)
Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby, Chris Cheng, Nathaniel Ross Pinckney, Rongjian Liang, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, Brucek Khailany, Kishor Kunal, Xiaowei Li, Hao Liu, Stuart F. Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raiman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P. Suthar, Varun Tej, Kaizhe Xu, Haoxing Ren
ChipNeMo: Domain-Adapted LLMs for Chip Design. CoRR (2023)
Haoyu Yang, Haoxing Ren
Enabling Scalable AI Computational Lithography with Physics-Inspired Models. ASP-DAC (2023)
Mingjie Liu, Nathaniel Ross Pinckney, Brucek Khailany, Haoxing Ren
Invited Paper: VerilogEval: Evaluating Large Language Models for Verilog Code Generation. ICCAD (2023)
Anthony Agnesina, Puranjay Rajvanshi, Tian Yang, Geraldo Pradipta, Austin Jiao, Ben Keller, Brucek Khailany, Haoxing Ren
AutoDMP: Automated DREAMPlace-based Macro Placement. ISPD (2023)
Yibo Lin, Avi Ziv, Haoxing Ren
Introduction to the Special Issue on Machine Learning for CAD/EDA. ACM Trans. Design Autom. Electr. Syst. 28 (2) (2023)
Yi-Chen Lu, Haoxing Ren, Hao-Hsiang Hsiao, Sung Kyu Lim
DREAM-GAN: Advancing DREAMPlace towards Commercial-Quality using Generative Adversarial Learning. ISPD (2023)
Haoxing Ren, Brucek Khailany, Matthew Fojtik, Yanqing Zhang
Machine Learning and Algorithms: Let Us Team Up for EDA. IEEE Des. Test 40 (1) (2023)
Mingjie Liu, Haoyu Yang, Brucek Khailany, Haoxing Ren
An Adversarial Active Sampling-Based Data Augmentation Framework for AI-Assisted Lithography Modeling. ICCAD (2023)
Mingjie Liu, Nathaniel Ross Pinckney, Brucek Khailany, Haoxing Ren
VerilogEval: Evaluating Large Language Models for Verilog Code Generation. CoRR (2023)
Rongjian Liang, Siddhartha Nath, Anand Rajaram, Jiang Hu, Haoxing Ren
BufFormer: A Generative ML Framework for Scalable Buffering. ASP-DAC (2023)
Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren
Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training. CoRR (2022)
Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren
Generic lithography modeling with dual-band optics-inspired neural networks. DAC (2022)
Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks. CoRR (2022)
Haoxing Ren, Siddhartha Nath, Yanqing Zhang, Hao Chen, Mingjie Liu
Why are Graph Neural Networks Effective for EDA Problems?: (Invited Paper). ICCAD (2022)
Dian-Lun Lin, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Tsung-Wei Huang
From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus. ICPP (2022)
Keren Zhu, Hao Chen, Walker J. Turner, George F. Kokai, Po-Hsuan Wei, David Z. Pan, Haoxing Ren
TAG: Learning Circuit Spatial Embedding from Layouts. ICCAD (2022)
Yi-Chen Lu, Tian Yang, Sung Kyu Lim, Haoxing Ren
Placement Optimization via PPA-Directed Graph Clustering. MLCAD (2022)
Yanqing Zhang, Haoxing Ren, Akshay Sridharan, Brucek Khailany
GATSPI: GPU Accelerated Gate-Level Simulation for Power Improvement. CoRR (2022)
Siddhartha Nath, Geraldo Pradipta, Corey Hu, Tian Yang, Brucek Khailany, Haoxing Ren
TransSizer: A Novel Transformer-Based Fast Gate Sizer. ICCAD (2022)
Yanqing Zhang, Haoxing Ren, Akshay Sridharan, Brucek Khailany
GATSPI: GPU accelerated gate-level simulation for power improvement. DAC (2022)
Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Haoxing Ren
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design. CoRR (2022)
Vidya A. Chhabria, Ben Keller, Yanqing Zhang, Sandeep Vollala, Sreedhar Pratty, Haoxing Ren, Brucek Khailany
XT-PRAGGMA: Crosstalk Pessimism Reduction Achieved with GPU Gate-level Simulations and Machine Learning. MLCAD (2022)
Haoxing Ren
Embracing Machine Learning in EDA. ISPD (2022)
Keren Zhu, Hao Chen, Walker J. Turner, George F. Kokai, Po-Hsuan Wei, David Z. Pan, Haoxing Ren
TAG: Learning Circuit Spatial Embedding From Layouts. CoRR (2022)
Hao Chen, Walker J. Turner, Sanquan Song, Keren Zhu, George F. Kokai, Brian Zimmer, C. Thomas Gray, Brucek Khailany, David Z. Pan, Haoxing Ren
AutoCRAFT: Layout Automation for Custom Circuits in Advanced FinFET Technologies. ISPD (2022)
Hao Chen, Walker J. Turner, David Z. Pan, Haoxing Ren
Routability-Aware Placement for Advanced FinFET Mixed-Signal Circuits using Satisfiability Modulo Theories. DATE (2022)
Siddhartha Nath, Geraldo Pradipta, Corey Hu, Tian Yang, Brucek Khailany, Haoxing Ren
Generative self-supervised learning for gate sizing: invited. DAC (2022)
Haoxing Ren, Matthew Fojtik
Standard Cell Routing with Reinforcement Learning and Genetic Algorithm in Advanced Technology Nodes. ASP-DAC (2021)
Mingjie Liu, Walker J. Turner, George F. Kokai, Brucek Khailany, David Z. Pan, Haoxing Ren
Parasitic-Aware Analog Circuit Sizing with Graph Neural Networks and Bayesian Optimization. DATE (2021)
Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar
MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification. DATE (2021)
Ghasem Pasandi, Sreedhar Pratty, David Brown, Yanqing Zhang, Haoxing Ren, Brucek Khailany
2021 ICCAD CAD Contest Problem C: GPU Accelerated Logic Rewriting. ICCAD (2021)
Haoxing Ren, Matthew Fojtik
Invited- NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning. DAC (2021)
Steve Dai, Rangharajan Venkatesan, Haoxing Ren, Brian Zimmer, William J. Dally, Brucek Khailany
VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference. CoRR (2021)
Steve Dai, Alicia Klinefelter, Haoxing Ren, Rangharajan Venkatesan, Ben Keller, Nathaniel Ross Pinckney, Brucek Khailany
Verifying High-Level Latency-Insensitive Designs with Formal Model Checking. CoRR (2021)
Yibo Lin, Zixuan Jiang, Jiaqi Gu, Wuxi Li, Shounak Dhar, Haoxing Ren, Brucek Khailany, David Z. Pan
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (4) (2021)
Haoxing Ren, Saad Godil, Brucek Khailany, Robert Kirby, Haiguang Liao, Siddhartha Nath, Jonathan Raiman, Rajarshi Roy
Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper. ICCAD (2021)
Haoxing Ren, Matthew Fojtik, Brucek Khailany
NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning. CoRR (2021)
Raviv Gal, David Z. Pan, Haoxing Ren, Manish Pandey, Marilyn Wolf, Avi Ziv
ML for CAD - Where is the Treasure Hiding? MLCAD (2020)
Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning. CoRR (2020)
Haoxing Ren, George F. Kokai, Walker J. Turner, Ting-Sheng Ku
ParaGraph: Layout Parasitics and Device Parameter Prediction using Graph Neural Networks. DAC (2020)
Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany
Problem C: GPU Accelerated Logic Re-simulation : (Invited Talk). ICCAD (2020)
Zhiyao Xie, Haoxing Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen
PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network. CoRR (2020)
Yanqing Zhang, Haoxing Ren, Brucek Khailany
GRANNITE: Graph Neural Network Inference for Transferable Power Estimation. DAC (2020)
Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar
MAVIREC: ML-Aided Vectored IR-DropEstimation and Classification. CoRR (2020)
Brucek Khailany, Haoxing Ren, Steve Dai, Saad Godil, Ben Keller, Robert Kirby, Alicia Klinefelter, Rangharajan Venkatesan, Yanqing Zhang, Bryan Catanzaro, William J. Dally
Accelerating Chip Design With Machine Learning. IEEE Micro 40 (6) (2020)
Yibo Lin, Wuxi Li, Jiaqi Gu, Haoxing Ren, Brucek Khailany, David Z. Pan
ABCDPlace: Accelerated Batch-Based Concurrent Detailed Placement on Multithreaded CPUs and GPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (2020)
Yanqing Zhang, Haoxing Ren, Brucek Khailany
Opportunities for RTL and Gate Level Simulation using GPUs (Invited Talk). ICCAD (2020)
Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning. ASP-DAC (2020)
Zhiyao Xie, Haoxing Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen
PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network. ASP-DAC (2020)
Yu-Hung Huang, Zhiyao Xie, Guan-Qi Fang, Tao-Chun Yu, Haoxing Ren, Shao-Yun Fang, Yiran Chen, Jiang Hu
Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model. DATE (2019)
Haoxing Ren
Toward Intelligent Physical Design: Deep Learning and GPU Acceleration. ISPD (2019)
Yuzhe Ma, Haoxing Ren, Brucek Khailany, Harbinder Sikka, Lijuan Luo, Karthikeyan Natarajan, Bei Yu
High Performance Graph Convolutional Networks with Applications in Testability Analysis. DAC (2019)
Yuan Zhou, Haoxing Ren, Yanqing Zhang, Ben Keller, Brucek Khailany, Zhiru Zhang
PRIMAL: Power Inference using Machine Learning. DAC (2019)
Yibo Lin, Shounak Dhar, Wuxi Li, Haoxing Ren, Brucek Khailany, David Z. Pan
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement. DAC (2019)
Zhiyao Xie, Yu-Hung Huang, Guan-Qi Fang, Haoxing Ren, Shao-Yun Fang, Yiran Chen, Nvidia Corporation
RouteNet: routability prediction for mixed-size designs using convolutional neural network. ICCAD (2018)
Haoxing Ren
A brief introduction on contemporary High-Level Synthesis. ICICDT (2014)
Haoxing Ren, Ruchir Puri, Lakshmi N. Reddy, Smita Krishnaswamy, Cindy Washburn, Joel Earl, Joachim Keinert
Intuitive ECO synthesis for high performance circuits. DATE (2013)
Hua Xiang, Minsik Cho, Haoxing Ren, Matthew M. Ziegler, Ruchir Puri
Network flow based datapath bit slicing. ISPD (2013)
Minsik Cho, Hua Xiang, Haoxing Ren, Matthew M. Ziegler, Ruchir Puri
LatchPlanner: latch placement algorithm for datapath-oriented high-performance VLSI designs. ICCAD (2013)
Joshua Friedrich, Ruchir Puri, Uwe Brandt, Markus Bühler, Jack DiLullo, Jeremy Hopkins, Mozammel Hossain, Michael A. Kazda, Joachim Keinert, Zahi M. Kurzum, Douglass Lamb, Alice Lee, Frank Musante, Jens Noack, Peter J. Osler, Stephen D. Posluszny, Haifeng Qian, Shyam Ramji, Vasant B. Rao, Lakshmi N. Reddy, Haoxing Ren, Thomas E. Rosser, Benjamin R. Russell, Cliff C. N. Sze, Gustavo E. Téllez
Design methodology for the IBM POWER7 microprocessor. IBM J. Res. Dev. 55 (3) (2011)
Hua Xiang, Haoxing Ren, Louise Trevillyan, Lakshmi N. Reddy, Ruchir Puri, Minsik Cho
Logical and physical restructuring of fan-in trees. ISPD (2010)
Minsik Cho, Haoxing Ren, Hua Xiang, Ruchir Puri
History-based VLSI legalization using network flow. DAC (2010)
Smita Krishnaswamy, Haoxing Ren, Nilesh Modi, Ruchir Puri
DeltaSyn: An efficient logic difference optimizer for ECO synthesis. ICCAD (2009)
Haoxing Ren, Mary P. Kusko, Victor N. Kravets, Rona Yaari
Low cost test point insertion without using extra registers for high performance design. ITC (2009)
Natarajan Viswanathan, Gi-Joon Nam, Charles J. Alpert, Paul Villarrubia, Haoxing Ren, Chris C. N. Chu
RQL: Global Placement via Relaxed Quadratic Spreading and Linearization. DAC (2007)
Haoxing Ren, David Z. Pan, Charles J. Alpert, Gi-Joon Nam, Paul G. Villarrubia
Hippocrates: First-Do-No-Harm Detailed Placement. ASP-DAC (2007)
Charles J. Alpert, Shrirang K. Karandikar, Zhuo Li, Gi-Joon Nam, Stephen T. Quay, Haoxing Ren, Cliff C. N. Sze, Paul G. Villarrubia, Mehmet Can Yildiz
Techniques for Fast Physical Synthesis. Proc. IEEE 95 (3) (2007)
Charles J. Alpert, Shrirang K. Karandikar, Zhuo Li, Gi-Joon Nam, Stephen T. Quay, Haoxing Ren, Cliff C. N. Sze, Paul G. Villarrubia, Mehmet Can Yildiz
The nuts and bolts of physical synthesis. SLIP (2007)
Haoxing Ren, David Z. Pan, Charles J. Alpert, Paul G. Villarrubia, Gi-Joon Nam
Diffusion-Based Placement Migration With Application on Legalization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 26 (12) (2007)
Haoxing Ren, David Zhigang Pan, Charles J. Alpert, Paul Villarrubia
Diffusion-based placement migration. DAC (2005)
Haoxing Ren, David Zhigang Pan, David S. Kung
Sensitivity guided net weighting for placement-driven synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 24 (5) (2005)
Tao Luo, Haoxing Ren, Charles J. Alpert, David Zhigang Pan
Computational geometry based placement migration. ICCAD (2005)
Haoxing Ren, David Zhigang Pan, Paul Villarrubia
True crosstalk aware incremental placement with noise map. ICCAD (2004)
Haoxing Ren, David Zhigang Pan, David S. Kung
Sensitivity guided net weighting for placement driven synthesis. ISPD (2004)