Publications | Research

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Artificial Intelligence and Machine Learning
Circuits and VLSI Design

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2019

MAGNet: A Modular Accelerator Generator for Neural Networks

Rangharajan Venkatesan, Sophia Shao, Miaorong Wang, Jason Clemons, Steve Dai, Matt Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Yanqing Zhang, Brian Zimmer, William Dally, Joel Emer, Steve Keckler, Brucek Khailany

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

Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matt Fojtik, Ted Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen Tell, Yanqing Zhang, William Dally, Joel Emer, Tom Gray, Brucek Khailany, Steve Keckler

Best Paper award
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)

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, Sophia Shao, Jason Clemons, Matt Fojtik, Ted Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen Tell, Yanqing Zhang, William Dally, Joel Emer, Tom Gray, Steve Keckler, Brucek Khailany

DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement

Yibo Lin, Shounak Dhar, Wuxi Li, Mark Haoxing Ren, Brucek Khailany, David Z. Pan

DAC 2019 Best Paper Award

High Performance Graph Convolutional Networks with Applications in Testability Analysis

Yuzhe Ma, Mark Haoxing Ren, Brucek Khailany, Harbinder Sikka, Lijuan Luo, Karthikeyan Natarajan, Bei Yu

PRIMAL: Power Inference using Machine Learning

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

Analog/Mixed-Signal Hardware Error Modeling for Deep Learning Inference

Angad S. Rekhi, Brian Zimmer, Nikola Nedovic, Nigxi Liu, Rangharajan Venkatesan, Miaorong Wang, Brucek Khailany, William Dally, Tom Gray

Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model

Yu-Hung Huang, Zhiyao Xie, Guan-Qi Fang, Tao-Chun Yu, Mark Haoxing Ren, Shao-Yun Fang, Yiran Chen, Jiang Hu