Glenn G. Ko - RankMe

20 papers A* 1B 3Misc 2Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	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 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
2023	J	`jnl`	INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation. CoRR Yuji Chai, John Gkountouras, Glenn G. Ko, David Brooks, Gu-Yeon Wei
2022	J	`jnl`	Bigger&Faster: Two-stage Neural Architecture Search for Quantized Transformer Models. CoRR Yuji Chai, Luke Bailey, Yunho Jin, Matthew Karle, Glenn G. Ko
2022	A*	`conf`	CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators. HPCA Yuji Chai, Glenn G. Ko, Wei-Te Mark Ting, Luke Bailey, David Brooks, Gu-Yeon Wei
2022	J	`jnl`	SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators. IEEE J. Solid State Circuits Sae Kyu Lee, Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei
2021	—	`conf`	9.8 A 25mm ISSCC 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
2021	—	`conf`	SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33 HCS 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
2020	—	`conf`	A 3mm VLSI Circuits Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2020	—	`conf`	A Scalable Bayesian Inference Accelerator for Unsupervised Learning. Hot Chips Symposium Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, Gu-Yeon Wei, David Brooks
2020	J	`jnl`	CHIPKIT: An Agile, Reusable Open-Source Framework for Rapid Test Chip Development. IEEE Micro Paul N. Whatmough, Marco Donato, Glenn G. Ko, Sae Kyu Lee, David Brooks, Gu-Yeon Wei
2020	J	`jnl`	CHIPKIT: An agile, reusable open-source framework for rapid test chip development. CoRR Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei
2019	—	`conf`	A 16nm 25mm VLSI Circuits 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
2019	B	`conf`	Accelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling. FPL Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2019	B	`conf`	Demystifying Bayesian Inference Workloads. ISPASS Yu Emma Wang, Yuhao Zhu, Glenn G. Ko, Brandon Reagen, Gu-Yeon Wei, David Brooks
2019	Misc	`conf`	FlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs. FCCM Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2018	J	`jnl`	Real-Time and Low-Power Streaming Source Separation Using Markov Random Field. ACM J. Emerg. Technol. Comput. Syst. Glenn G. Ko, Rob A. Rutenbar
2017	Misc	`conf`	A case study of machine learning hardware: Real-time source separation using Markov Random Fields via sampling-based inference. ICASSP Glenn G. Ko, Rob A. Rutenbar
2017	—	`—`	Sampling architectures for probabilistic inference Glenn G. Ko
2013	B	`conf`	EMERALD: Characterization of emerging applications and algorithms for low-power devices. ISPASS 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
2012	—	`conf`	Stereophonic spectrogram segmentation using Markov random fields. MLSP Minje Kim, Paris Smaragdis, Glenn G. Ko, Rob A. Rutenbar