Yanqing Zhang

According to our database, Yanqing Zhang authored at least 31 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BoolGebra: Attributed Graph-learning for Boolean Algebraic Manipulation.

Yingjie Li, Anthony Agnesina, Yanqing Zhang, Haoxing Ren, Cunxi Yu

CoRR, 2024

2023

Machine Learning and Algorithms: Let Us Team Up for EDA.

Haoxing Ren, Brucek Khailany, Matthew Fojtik, Yanqing Zhang

IEEE Des. Test, February, 2023

GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs.

Dian-Lun Lin, Yanqing Zhang, Haoxing Ren, Brucek Khailany, Shih-Hsin Wang, Tsung-Wei Huang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

XT-PRAGGMA: Crosstalk Pessimism Reduction Achieved with GPU Gate-level Simulations and Machine Learning.

Vidya A. Chhabria, Ben Keller, Yanqing Zhang, Sandeep Vollala, Sreedhar Pratty, Haoxing Ren, Brucek Khailany

Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus.

Dian-Lun Lin, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Tsung-Wei Huang

Proceedings of the 51st International Conference on Parallel Processing, 2022

Why are Graph Neural Networks Effective for EDA Problems?: (Invited Paper).

Haoxing Ren, Siddhartha Nath, Yanqing Zhang, Hao Chen, Mingjie Liu

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

GATSPI: GPU accelerated gate-level simulation for power improvement.

Yanqing Zhang, Haoxing Ren, Akshay Sridharan, Brucek Khailany

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Simba: scaling deep-learning inference with chiplet-based architecture.

Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Brucek Khailany, Stephen W. Keckler

Commun. ACM, 2021

2021 ICCAD CAD Contest Problem C: GPU Accelerated Logic Rewriting.

Ghasem Pasandi, Sreedhar Pratty, David Brown, Yanqing Zhang, Haoxing Ren, Brucek Khailany

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification.

Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Accelerating Chip Design With Machine Learning.

Brucek Khailany, Haoxing Ren, Steve Dai, Saad Godil, Ben Keller, Robert Kirby, Alicia Klinefelter, Rangharajan Venkatesan, Yanqing Zhang, Bryan Catanzaro, William J. Dally

IEEE Micro, 2020

A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm.

Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Stephen W. Keckler, Brucek Khailany

IEEE J. Solid State Circuits, 2020

MAVIREC: ML-Aided Vectored IR-DropEstimation and Classification.

Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar

CoRR, 2020

Problem C: GPU Accelerated Logic Re-simulation : (Invited Talk).

Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Opportunities for RTL and Gate Level Simulation using GPUs (Invited Talk).

Yanqing Zhang, Haoxing Ren, Brucek Khailany

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

GRANNITE: Graph Neural Network Inference for Transferable Power Estimation.

Yanqing Zhang, Haoxing Ren, Brucek Khailany

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning.

Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm.

Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Stephen W. Keckler, Brucek Khailany

Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture.

Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Brucek Khailany, Stephen W. Keckler

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

MAGNet: A Modular Accelerator Generator for Neural Networks.

Rangharajan Venkatesan, Yakun Sophia Shao, Miaorong Wang, Jason Clemons, Steve Dai, Matthew Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Yanqing Zhang, Brian Zimmer, William J. Dally, Joel S. Emer, Stephen W. Keckler, Brucek Khailany

Proceedings of the International Conference on Computer-Aided Design, 2019

A 0.11 PJ/OP, 0.32-128 Tops, Scalable Multi-Chip-Module-Based Deep Neural Network Accelerator Designed with A High-Productivity vlsi Methodology.

Rangharajan Venkatesan, Yakun Sophia Shao, Brian Zimmer, Jason Clemons, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Stephen W. Keckler, Brucek Khailany

Proceedings of the 2019 IEEE Hot Chips 31 Symposium (HCS), 2019

PRIMAL: Power Inference using Machine Learning.

Yuan Zhou, Haoxing Ren, Yanqing Zhang, Ben Keller, Brucek Khailany, Zhiru Zhang

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

A modular digital VLSI flow for high-productivity SoC design.

Brucek Khailany, Evgeni Khmer, Rangharajan Venkatesan, Jason Clemons, Joel S. Emer, Matthew Fojtik, Alicia Klinefelter, Michael Pellauer, Nathaniel Ross Pinckney, Yakun Sophia Shao, Shreesha Srinath, Christopher Torng, Sam Likun Xi, Yanqing Zhang, Brian Zimmer

Proceedings of the 55th Annual Design Automation Conference, 2018

2015

21.3 A 6.45μW self-powered IoT SoC with integrated energy-harvesting power management and ULP asymmetric radios.

Alicia Klinefelter, Nathan E. Roberts, Yousef Shakhsheer, Patricia González, Aatmesh Shrivastava, Abhishek Roy, Kyle Craig, Muhammad Faisal, James Boley, Seunghyun Oh, Yanqing Zhang, Divya Akella, David D. Wentzloff, Benton H. Calhoun

Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015

2014

Fast, accurate variation-aware path timing computation for sub-threshold circuits.

Yanqing Zhang, Benton H. Calhoun

Proceedings of the Fifteenth International Symposium on Quality Electronic Design, 2014

2013

A Batteryless 19 µW MICS/ISM-Band Energy Harvesting Body Sensor Node SoC for ExG Applications.

Yanqing Zhang, Fan Zhang, Yousef Shakhsheer, Jason Silver, Alicia Klinefelter, Manohar Nagaraju, James Boley, Jagdish Nayayan Pandey, Aatmesh Shrivastava, Eric J. Carlson, Austin Wood, Benton H. Calhoun, Brian P. Otis

IEEE J. Solid State Circuits, 2013

2012

A Programmable 34 nW/Channel Sub-Threshold Signal Band Power Extractor on a Body Sensor Node SoC.

Alicia Klinefelter, Yanqing Zhang, Brian P. Otis, Benton H. Calhoun

IEEE Trans. Circuits Syst. II Express Briefs, 2012

Body Sensor Networks: A Holistic Approach From Silicon to Users.

Benton H. Calhoun, John C. Lach, John A. Stankovic, David D. Wentzloff, Kamin Whitehouse, Adam T. Barth, Jonathan K. Brown, Qiang Li, Seunghyun Oh, Nathan E. Roberts, Yanqing Zhang

Proc. IEEE, 2012

A batteryless 19μW MICS/ISM-band energy harvesting body area sensor node SoC.

Fan Zhang, Yanqing Zhang, Jason Silver, Yousef Shakhsheer, Manohar Nagaraju, Alicia Klinefelter, Jagdish Nayayan Pandey, James Boley, Eric J. Carlson, Aatmesh Shrivastava, Brian P. Otis, Benton H. Calhoun

Proceedings of the 2012 IEEE International Solid-State Circuits Conference, 2012

A custom processor for node and power management of a battery-less body sensor node in 130nm CMOS.

Yousef Shakhsheer, Yanqing Zhang, Brian P. Otis, Benton H. Calhoun

Proceedings of the IEEE 2012 Custom Integrated Circuits Conference, 2012

2010

System design principles combining sub-threshold circuit and architectures with energy scavenging mechanisms.

Benton H. Calhoun, Sudhanshu Khanna, Yanqing Zhang, Joseph F. Ryan, Brian P. Otis

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010