People

Matt Fojtik

Matt Fojtik joined the Circuits Research group of NVIDIA in October 2013. Prior to NVIDIA, he worked on various adaptive clocking projects, two-phase latch based timing, and low power microprocessor design. He received his B.S., M.S. and Ph.D. degrees in Electrical Engineering from the University of Michigan in 2008, 2010, and 2013 respectively.

Research Area(s)
Circuits and VLSI Design

Publications

2023

NVCell 2: Routability-Driven Standard Cell Layout in Advanced Nodes with Lattice Graph Routability Model
Chia-Tung (Mark) Ho, Alvin Ho, Matt Fojtik, Minsoo Kim, Shang Wei, Yaguang LI, Brucek Khailany, Haoxing (Mark) Ren
International Symposium on Physical Design 2023

2022

Machine Learning and Algorithms: Let Us Team Up for EDA
Haoxing (Mark) Ren, Brucek Khailany, Matt Fojtik, Yanqing Zhang
IEEE Design & Test

2021

NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning
Haoxing (Mark) Ren, Matt Fojtik, Brucek Khailany
Design Automation Conference (DAC) 2021 (Invited special session paper)
Simba: scaling deep-learning inference with chiplet-based architecture
Yakun 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
Communications of the ACM
ACM Research Highlight
Standard Cell Routing with Reinforcement Learning and Genetic Algorithm in Advanced Technology Nodes
Haoxing (Mark) Ren, Matt Fojtik
26th Asia and South Pacific Design Automation Conference (ASP-DAC) 2021

2020

NVCell: Generate Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning
Haoxing (Mark) Ren, Matt Fojtik, Brucek Khailany
Workshop on ML for Systems at NeurIPS
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, 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
IEEE Journal of Solid-State Circuits (JSSC)
JSSC 2020 Best Paper award

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 (ICCAD)
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
International Symposium on Microarchitecture (MICRO)
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 Designed with a High-Productivity VLSI Methodology
Rangharajan Venkatesan, Sophia Shao, Brian Zimmer, 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
Hot Chips: A Symposium on High Performance Chips
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
Symposium on VLSI Circuits
A Fine-Grained GALS SoC with Pausible Adaptive Clocking in 16 nm FinFET
Matt Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Stephen Tell, Brian Zimmer, Tezaswi Raja, Kevin Zhou, William Dally, Brucek Khailany
ASYNC 2019
ASYNC 2019 Best Paper Award

2018

A Modular Digital VLSI Flow for High-Productivity SoC Design
Brucek Khailany, Evgeni Krimer, Rangharajan Venkatesan, Jason Clemons, Joel Emer, Matt Fojtik, Alicia Klinefelter, Michael Pellauer, Nathaniel Pinckney, Sophia Shao, Shreesha Srinath, Christopher Torng, Sam (Likun) Xi, Yanqing Zhang, Brian Zimmer
Design Automation Conference (DAC)
Ground-Referenced Signaling for Intra-Chip and Short-Reach Chip-to-Chip Interconnects
Walker Turner, John Poulton, John Wilson, Xi Chen, Stephen Tell, Matt Fojtik, Trey Greer, Brian Zimmer, Sanquan Song, Nikola Nedovic, Sudhir Kudva, Sunil Sudhakaran, Rizwan Bashirullah, Wenxu Zhao, William Dally, Tom Gray
Custom Integrated Circuits Conference

2016

Modeling and Analysis of Power Supply Noise Tolerance with Fine-grained GALS Adaptive Clocks
Divya Akella Kamakshi, Matt Fojtik, Brucek Khailany, Sudhir Kudva, Yaping Zhou, Benton H. Calhoun
ASYNC 2016
ASYNC 2016 Best Paper Award Nominee
A 28nm 2Mbit 6T SRAM with Highly Configurable Write Assist Implementation and Capacitor Based Sense Amplifier Input Offset Compen
Mahmut Sinangil, John Poulton, Matt Fojtik, Trey Greer, Stephen Tell, Andy Gotterba, Jesse Wang, Jason Golbus, William Dally, Tom Gray
Journal of Solid State Circuits
A 6.5-to-23.3fJ/b/mm Balanced Charge-Recycling Bus in 16nm FinFET CMOS at 1.7-to-2.6Gb/s/wire with Clock Forwarding and Low-Crosstalk Contraflow Wiring
John Wilson, Matt Fojtik, John Poulton, Xi Chen, Stephen Tell, Trey Greer, Tom Gray, William Dally
International Solid-State Circuits Conference (ISSCC 2016)

2015

A Pausible Bisynchronous FIFO for GALS Systems
Ben Keller, Matt Fojtik, Brucek Khailany
ASYNC 2015