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2020 – today
- 2023
[j4]Thierry Tambe
, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs. IEEE J. Solid State Circuits 58(2): 569-581 (2023)- [i3]Yuji Chai, John Gkountouras, Glenn G. Ko, David Brooks, Gu-Yeon Wei:
INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation. CoRR abs/2306.08162 (2023) - 2022
- [j3]Sae Kyu Lee, Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei:
SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators. IEEE J. Solid State Circuits 57(2): 639-650 (2022) - [c12]Yuji Chai, Glenn G. Ko, Wei-Te Mark Ting, Luke Bailey, David Brooks, Gu-Yeon Wei:
CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators. HPCA 2022: 38-52 - [i2]Yuji Chai, Luke Bailey, Yunho Jin, Matthew Karle, Glenn G. Ko:
Bigger&Faster: Two-stage Neural Architecture Search for Quantized Transformer Models. CoRR abs/2209.12127 (2022) - 2021
- [c11]Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33rd Hot Chips Symposium - August 22-24, 2021. HCS 2021: 1-13 - [c10]Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
9.8 A 25mm2 SoC for IoT Devices with 18ms Noise-Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence DNN Speech Recognition in 16nm FinFET. ISSCC 2021: 158-160 - 2020
- [j2]Paul N. Whatmough, Marco Donato, Glenn G. Ko, Sae Kyu Lee, David Brooks, Gu-Yeon Wei:
CHIPKIT: An Agile, Reusable Open-Source Framework for Rapid Test Chip Development. IEEE Micro 40(4): 32-40 (2020) - [c9]Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, Gu-Yeon Wei, David Brooks:
A Scalable Bayesian Inference Accelerator for Unsupervised Learning. Hot Chips Symposium 2020: 1-27 - [c8]Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei:
A 3mm2 Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm. VLSI Circuits 2020: 1-2 - [i1]Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei:
CHIPKIT: An agile, reusable open-source framework for rapid test chip development. CoRR abs/2001.04504 (2020)
2010 – 2019
- 2019
- [c7]Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei:
FlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs. FCCM 2019: 334 - [c6]Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei:
Accelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling. FPL 2019: 159-165 - [c5]Yu Emma Wang, Yuhao Zhu, Glenn G. Ko, Brandon Reagen, Gu-Yeon Wei, David Brooks:
Demystifying Bayesian Inference Workloads. ISPASS 2019: 177-189 - [c4]Paul N. Whatmough, Sae Kyu Lee, Marco Donato, Hsea-Ching Hsueh, Sam Likun Xi, Udit Gupta, Lillian Pentecost, Glenn G. Ko, David M. Brooks, Gu-Yeon Wei:
A 16nm 25mm2 SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators. VLSI Circuits 2019: 34- - 2018
- [j1]Glenn G. Ko, Rob A. Rutenbar:
Real-Time and Low-Power Streaming Source Separation Using Markov Random Field. ACM J. Emerg. Technol. Comput. Syst. 14(2): 17:1-17:22 (2018) - 2017
- [b1]Glenn G. Ko:
Sampling architectures for probabilistic inference. University of Illinois Urbana-Champaign, USA, 2017 - [c3]Glenn G. Ko, Rob A. Rutenbar:
A case study of machine learning hardware: Real-time source separation using Markov Random Fields via sampling-based inference. ICASSP 2017: 2477-2481 - 2013
- [c2]Chuanjun Zhang, Glenn G. Ko, Jungwook Choi, Shang-nien Tsai, Minje Kim, Abner Guzmán-Rivera, Rob A. Rutenbar, Paris Smaragdis, Mi Sun Park, Vijaykrishnan Narayanan, Hongyi Xin, Onur Mutlu, Bin Li, Li Zhao, Mei Chen:
EMERALD: Characterization of emerging applications and algorithms for low-power devices. ISPASS 2013: 122-123 - 2012
- [c1]Minje Kim, Paris Smaragdis, Glenn G. Ko, Rob A. Rutenbar:
Stereophonic spectrogram segmentation using Markov random fields. MLSP 2012: 1-6
Coauthor Index
aka: David M. Brooks
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