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Glenn G. Ko
Glenn G. Ko
Harvard University, Stochastic
Zweryfikowany adres z seas.harvard.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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A 16nm 25mm2 SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53, to eFPGA, and Cache-Coherent Accelerators
PN Whatmough, SK Lee, M Donato, HC Hsueh, SL Xi, U Gupta, ...
IEEE Symposium on VLSI Circuits (VLSIC), 2019
372019
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 …
T Tambe, ...
2021 IEEE International Solid-State Circuits Conference, 2021
322021
CHIPKIT: An agile, reusable open-source framework for rapid test chip development
PN Whatmough, M Donato, GG Ko, SK Lee, D Brooks, GY Wei
IEEE Micro 40 (4), 32-40, 2020
182020
Stereophonic spectrogram segmentation using Markov random fields
M Kim, P Smaragdis, GG Ko, RA Rutenbar
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012
182012
SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators
SK Lee, PN Whatmough, M Donato, GG Ko, D Brooks, GY Wei
IEEE Journal of Solid-State Circuits 57 (2), 639-650, 2021
122021
SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators
SK Lee, PN Whatmough, M Donato, GG Ko, D Brooks, GY Wei
IEEE Journal of Solid-State Circuits 57 (2), 639-650, 2021
122021
A 3mm2 Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm
GG Ko, Y Chai, M Donato, PN Whatmough, T Tambe, RA Rutenbar, ...
IEEE International Symposium on VLSI Circuits (VLSIC), 2020
122020
Accelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling
GG Ko, Y Chai, RA Rutenbar, D Brooks, GY Wei
International Conference on Field-Programmable Logic and Applications (FPL), 2019
122019
A case study of machine learning hardware: Real-time source separation using Markov random fields via sampling-based inference
GG Ko, RA Rutenbar
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
122017
FlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs
GG Ko, Y Chai, RA Rutenbar, D Brooks, GY Wei
2019 IEEE International Symposium On Field-Programmable Custom Computing …, 2019
102019
A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs
T Tambe, EY Yang, GG Ko, Y Chai, C Hooper, M Donato, PN Whatmough, ...
IEEE Journal of Solid-State Circuits, 2022
92022
Demystifying Bayesian Inference Workloads
YE Wang, Y Zhu, GG Ko, B Reagen, GY Wei, D Brooks
2019 IEEE International Symposium on Performance Analysis of Systems and …, 2019
92019
Real-time and low-power streaming source separation using markov random field
GG Ko, RA Rutenbar
ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (2), 1-22, 2018
82018
INT2. 1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation
Y Chai, J Gkountouras, GG Ko, D Brooks, GY Wei
arXiv preprint arXiv:2306.08162, 2023
72023
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 …
T Tambe, EY Yang, GG Ko, Y Chai, C Hooper, M Donato, PN Whatmough, ...
IEEE, 2021
52021
A Scalable Bayesian Inference Accelerator for Unsupervised Learning
G Ko, Y Chai, M Donato, PN Whatmough, T Tambe, RA Rutenbar, GY Wei, ...
2020 IEEE Hot Chips 32 Symposium (HCS), 1-27, 2020
42020
CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators
Y Chai, GG Ko, L Bailey, D Brooks, GY Wei
2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022
32022
SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33rd Hot Chips Symposium – August 22-24, 2021
T Tambe, EY Yang, GG Ko, Y Chai, C Hooper, M Donato, PN Whatmough, ...
2021 IEEE Hot Chips 33 Symposium (HCS), 1-13, 2021
22021
EMERALD: Characterization of emerging applications and algorithms for low-power devices
C Zhang, GG Ko, JW Choi, S Tsai, M Kim, AG Rivera, R Rutenbar, ...
2013 IEEE International Symposium on Performance Analysis of Systems and …, 2013
22013
SpeedLimit: Neural Architecture Search for Quantized Transformer Models
Y Chai, L Bailey, Y Jin, G Ko, M Karle, D Brooks, GY Wei, H Kung
Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023
2023
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