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Brian Zimmer
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2020 – today
- 2024
- [j13]Yoshinori Nishi
, John W. Poulton
A 0.190-pJ/bit 25.2-Gb/s/wire Inverter-Based AC-Coupled Transceiver for Short-Reach Die-to-Die Interfaces in 5-nm CMOS. IEEE J. Solid State Circuits 59(4): 1146-1157 (2024) - [c30]Walker J. Turner, John W. Poulton, Yoshinori Nishi, Xi Chen, Brian Zimmer, Sanquan Song, John M. Wilson, William J. Dally, C. Thomas Gray:
Leveraging Micro-Bump Pitch Scaling to Accelerate Interposer Link Bandwidths for Future High-Performance Compute Applications. CICC 2024: 1-7 - [c29]Sudhir S. Kudva, Mahmut Ersin Sinangil, Stephen G. Tell, Nikola Nedovic, Sanquan Song, Brian Zimmer, C. Thomas Gray:
16.4 High-Density and Low-Power PUF Designs in 5nm Achieving 23× and 39× BER Reduction After Unstable Bit Detection and Masking. ISSCC 2024: 302-304 - 2023
- [j12]Yoshinori Nishi
A 0.297-pJ/Bit 50.4-Gb/s/Wire Inverter-Based Short-Reach Simultaneous Bi-Directional Transceiver for Die-to-Die Interface in 5-nm CMOS. IEEE J. Solid State Circuits 58(4): 1062-1073 (2023) - [j11]Ben Keller
A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm. IEEE J. Solid State Circuits 58(4): 1129-1141 (2023) - [c28]Yoshinori Nishi, John W. Poulton, Xi Chen, Sanquan Song, Brian Zimmer, Walker J. Turner, Stephen G. Tell, Nikola Nedovic, John M. Wilson, William J. Dally, C. Thomas Gray:
A 0.190-pJ/bit 25.2-Gb/s/wire Inverter-Based AC-Coupled Transceiver for Short-Reach Die-to-Die Interfaces in 5-nm CMOS. VLSI Technology and Circuits 2023: 1-2 - 2022
- [j10]Jiawei Zhao
LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update. IEEE Trans. Computers 71(12): 3179-3190 (2022) - [c27]Charbel Sakr, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, William J. Dally, Brucek Khailany:
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training. ICML 2022: 19123-19138 - [c26]Hao Chen, Walker J. Turner, Sanquan Song, Keren Zhu
AutoCRAFT: Layout Automation for Custom Circuits in Advanced FinFET Technologies. ISPD 2022: 175-183 - [c25]Ben Keller, Rangharajan Venkatesan, Steve Dai, Stephen G. Tell, Brian Zimmer, William J. Dally, C. Thomas Gray, Brucek Khailany:
A 17-95.6 TOPS/W Deep Learning Inference Accelerator with Per-Vector Scaled 4-bit Quantization for Transformers in 5nm. VLSI Technology and Circuits 2022: 16-17 - [c24]Sanquan Song, Stephen G. Tell, Brian Zimmer, Sudhir S. Kudva, Nikola Nedovic, C. Thomas Gray:
An FLL-Based Clock Glitch Detector for Security Circuits in a 5nm FINFET Process. VLSI Technology and Circuits 2022: 146-147 - [c23]Yoshinori Nishi, John W. Poulton, Xi Chen, Sanquan Song, Brian Zimmer, Walker J. Turner, Stephen G. Tell, Nikola Nedovic, John M. Wilson, William J. Dally, C. Thomas Gray:
A 0.297-pJ/bit 50.4-Gb/s/wire Inverter-Based Short-Reach Simultaneous Bidirectional Transceiver for Die-to-Die Interface in 5nm CMOS. VLSI Technology and Circuits 2022: 154-155 - [i2]Charbel Sakr, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, William J. Dally, Brucek Khailany:
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training. CoRR abs/2206.06501 (2022) - 2021
- [j9]Yakun Sophia Shao, Jason Clemons
Simba: scaling deep-learning inference with chiplet-based architecture. Commun. ACM 64(6): 107-116 (2021) - [c22]Steve Dai, Rangharajan Venkatesan, Mark Ren, Brian Zimmer, William J. Dally, Brucek Khailany:
VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference. MLSys 2021 - [i1]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 abs/2102.04503 (2021) - 2020
- [j8]Brian Zimmer
A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm. IEEE J. Solid State Circuits 55(4): 920-932 (2020) - [c21]Xi Chen, Nikola Nedovic, Stephen G. Tell, Sudhir S. Kudva, Brian Zimmer, Thomas H. Greer, John W. Poulton, Sanquan Song, Walker J. Turner, John M. Wilson, C. Thomas Gray:
6.6 Reference-Noise Compensation Scheme for Single-Ended Package-to-Package Links. ISSCC 2020: 126-128
2010 – 2019
- 2019
- [j7]John W. Poulton, John M. Wilson
A 1.17-pJ/b, 25-Gb/s/pin Ground-Referenced Single-Ended Serial Link for Off- and On-Package Communication Using a Process- and Temperature-Adaptive Voltage Regulator. IEEE J. Solid State Circuits 54(1): 43-54 (2019) - [c20]Matthew Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Stephen G. Tell, Brian Zimmer, Tezaswi Raja, Kevin Zhou, William J. Dally, Brucek Khailany:
A Fine-Grained GALS SoC with Pausible Adaptive Clocking in 16 nm FinFET. ASYNC 2019: 27-35 - [c19]Xi Chen, Sanquan Song, John Poulton, Nikola Nedovic, Brian Zimmer, Stephen G. Tell, C. Thomas Gray:
Voltage-Follower Coupling Quadrature Oscillator with Embedded Phase-Interpolator in 16nm FinFET. CICC 2019: 1-4 - [c18]Sanquan Song, John Poulton, Xi Chen, Brian Zimmer, Stephen G. Tell, Walker J. Turner, Sudhir S. Kudva, Nikola Nedovic, John M. Wilson, C. Thomas Gray, William J. Dally:
A 2-to-20 GHz Multi-Phase Clock Generator with Phase Interpolators Using Injection-Locked Oscillation Buffers for High-Speed IOs in 16nm FinFET. CICC 2019: 1-4 - [c17]Angad S. Rekhi
Analog/Mixed-Signal Hardware Error Modeling for Deep Learning Inference. DAC 2019: 81 - [c16]Rangharajan Venkatesan, Yakun Sophia Shao, Brian Zimmer, Jason Clemons
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. Hot Chips Symposium 2019: 1-24 - [c15]Rangharajan Venkatesan, Yakun Sophia Shao, Miaorong Wang
MAGNet: A Modular Accelerator Generator for Neural Networks. ICCAD 2019: 1-8 - [c14]Yakun Sophia Shao, Jason Clemons
Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture. MICRO 2019: 14-27 - [c13]Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons
A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm. VLSI Circuits 2019: 300- - 2018
- [c12]Walker J. Turner, John W. Poulton, John M. Wilson, Xi Chen, Stephen G. Tell, Matthew Fojtik, Thomas H. Greer, Brian Zimmer, Sanquan Song, Nikola Nedovic, Sudhir S. Kudva, Sunil R. Sudhakaran, Rizwan Bashirullah, Wenxu Zhao, William J. Dally, C. Thomas Gray:
Ground-referenced signaling for intra-chip and short-reach chip-to-chip interconnects. CICC 2018: 1-8 - [c11]Brucek Khailany, Evgeni Khmer, Rangharajan Venkatesan, Jason Clemons
A modular digital VLSI flow for high-productivity SoC design. DAC 2018: 72:1-72:6 - [c10]John M. Wilson, Walker J. Turner, John W. Poulton, Brian Zimmer, Xi Chen, Sudhir S. Kudva, Sanquan Song, Stephen G. Tell, Nikola Nedovic, Wenxu Zhao, Sunil R. Sudhakaran, C. Thomas Gray, William J. Dally:
A 1.17pJ/b 25Gb/s/pin ground-referenced single-ended serial link for off- and on-package communication in 16nm CMOS using a process- and temperature-adaptive voltage regulator. ISSCC 2018: 276-278 - [c9]Michael B. Sullivan, Siva Kumar Sastry Hari, Brian Zimmer, Timothy Tsai, Stephen W. Keckler:
SwapCodes: Error Codes for Hardware-Software Cooperative GPU Pipeline Error Detection. MICRO 2018: 762-774 - 2017
- [j6]Ben Keller
A RISC-V Processor SoC With Integrated Power Management at Submicrosecond Timescales in 28 nm FD-SOI. IEEE J. Solid State Circuits 52(7): 1863-1875 (2017) - [j5]Brian Zimmer
Reprogrammable Redundancy for SRAM-Based Cache Vmin Reduction in a 28-nm RISC-V Processor. IEEE J. Solid State Circuits 52(10): 2589-2600 (2017) - 2016
- [j4]Mahmut E. Sinangil, John W. Poulton, Matthew R. Fojtik, Thomas H. Greer, Stephen G. Tell, Andreas J. Gotterba, Jesse Wang, Jason Golbus, Brian Zimmer, William J. Dally, C. Thomas Gray:
A 28 nm 2 Mbit 6 T SRAM With Highly Configurable Low-Voltage Write-Ability Assist Implementation and Capacitor-Based Sense-Amplifier Input Offset Compensation. IEEE J. Solid State Circuits 51(2): 557-567 (2016) - [j3]Brian Zimmer, Yunsup Lee, Alberto Puggelli, Jaehwa Kwak, Ruzica Jevtic
A RISC-V Vector Processor With Simultaneous-Switching Switched-Capacitor DC-DC Converters in 28 nm FDSOI. IEEE J. Solid State Circuits 51(4): 930-942 (2016) - [j2]Yunsup Lee, Andrew Waterman, Henry Cook, Brian Zimmer, Ben Keller, Alberto Puggelli, Jaehwa Kwak, Ruzica Jevtic
An Agile Approach to Building RISC-V Microprocessors. IEEE Micro 36(2): 8-20 (2016) - [c8]Brian Zimmer, Pi-Feng Chiu, Borivoje Nikolic
Reprogrammable redundancy for cache Vmin reduction in a 28nm RISC-V processor. A-SSCC 2016: 121-124 - [c7]Martin Cochet, Alberto Puggelli, Ben Keller, Brian Zimmer, Milovan Blagojevic, Sylvain Clerc, Philippe Roche, Jean-Luc Autran, Borivoje Nikolic
On-chip supply power measurement and waveform reconstruction in a 28nm FD-SOI processor SoC. A-SSCC 2016: 125-128 - [c6]Pi-Feng Chiu, Brian Zimmer, Borivoje Nikolic
A double-tail sense amplifier for low-voltage SRAM in 28nm technology. A-SSCC 2016: 181-184 - [c5]Ben Keller, Martin Cochet, Brian Zimmer, Yunsup Lee, Milovan Blagojevic, Jaehwa Kwak, Alberto Puggelli, Stevo Bailey, Pi-Feng Chiu, Daniel Palmer Dabbelt, Colin Schmidt, Elad Alon, Krste Asanovic, Borivoje Nikolic
Sub-microsecond adaptive voltage scaling in a 28nm FD-SOI processor SoC. ESSCIRC 2016: 269-272 - [c4]Donggyu Kim, Adam M. Izraelevitz, Christopher Celio, Hokeun Kim, Brian Zimmer, Yunsup Lee, Jonathan Bachrach, Krste Asanovic:
Strober: Fast and Accurate Sample-Based Energy Simulation for Arbitrary RTL. ISCA 2016: 128-139 - 2015
- [b1]Brian Zimmer:
Resilient Design Techniques for Improving Cache Energy Efficiency. University of California, Berkeley, USA, 2015 - [c3]Yunsup Lee, Brian Zimmer, Andrew Waterman, Alberto Puggelli, Jaehwa Kwak, Ruzica Jevtic
Raven: A 28nm RISC-V vector processor with integrated switched-capacitor DC-DC converters and adaptive clocking. Hot Chips Symposium 2015: 1-45 - [c2]Brian Zimmer, Yunsup Lee, Alberto Puggelli, Jaehwa Kwak, Ruzica Jevtic
A RISC-V vector processor with tightly-integrated switched-capacitor DC-DC converters in 28nm FDSOI. VLSIC 2015: 316- - 2014
- [c1]Brian Zimmer, Olivier Thomas, Seng Oon Toh, Taylor Vincent, Krste Asanovic, Borivoje Nikolic
Joint impact of random variations and RTN on dynamic writeability in 28nm bulk and FDSOI SRAM. ESSDERC 2014: 98-101 - 2012
- [j1]Brian Zimmer, Seng Oon Toh, Huy Vo, Yunsup Lee, Olivier Thomas, Krste Asanovic, Borivoje Nikolic
SRAM Assist Techniques for Operation in a Wide Voltage Range in 28-nm CMOS. IEEE Trans. Circuits Syst. II Express Briefs 59-II(12): 853-857 (2012)
Coauthor Index
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last updated on 2024-08-05 21:18 CEST by the dblp team
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