Skip to main content
Enter your keywords
Login
Publications
AI Playground
News
Research Areas
Team
People
About
AI Labs
Applied Research
3D DL
PAR DL
Collaborations
Academic
AI Research Residency
Government
Graduate Fellowships
Careers
Internships
Research Scientists
Publications
AI Playground
News
Research Areas
Team
People
About
AI Labs
Collaborations
Academic
AI Research Residency
Government
Graduate Fellowships
Careers
Internships
Research Scientists
People
Steve Dai
Main Field of Interest:
Circuits and VLSI Design
Publications
2021
Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers
Jacob R. Stevens
,
Rangharajan Venkatesan
,
Steve Dai
,
Brucek Khailany
,
Anand Raghunathan
Design Automation Conference (DAC) 2021
VS-QUANT: Per-Vector Scaled Quantization for Accurate Low-Precision Neural Network Inference
Steve Dai
,
Rangharajan Venkatesan
,
Mark Ren
,
Brian Zimmer
,
William Dally
,
Brucek Khailany
MLSys 2021
Verifying High-Level Latency-Insensitive Designs with Formal Model Checking
Steve Dai
,
Alicia Klinefelter
,
Mark Ren
,
Rangharajan Venkatesan
,
Ben Keller
,
Nathaniel Pinckney
,
Brucek Khailany
arXiv
2020
Accelerating Chip Design with Machine Learning
Brucek Khailany
,
Mark Ren
,
Steve Dai
,
Saad Godil
,
Ben Keller
,
Robert Kirby
,
Alicia Klinefelter
,
Rangharajan Venkatesan
,
Yanqing Zhang
,
Bryan Catanzaro
,
William Dally
IEEE Micro
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
International Conference On Computer Aided Design
