Glenn G. Ko
Titolo
Citata da
Citata da
Anno
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
112012
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
102019
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
72018
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
72017
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
42019
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
42019
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
12020
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
12020
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
12013
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
2021
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
2020
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
2019
Sampling architectures for probabilistic inference
GG Ko
University of Illinois at Urbana-Champaign, 2017
2017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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