Glenn G. Ko
According to our database1,
Glenn G. Ko
authored at least 20 papers
between 2012 and 2023.
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Bibliography
2023
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, February, 2023
INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation.
CoRR, 2023
2022
SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators.
IEEE J. Solid State Circuits, 2022
Bigger&Faster: Two-stage Neural Architecture Search for Quantized Transformer Models.
CoRR, 2022
CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022
2021
9.8 A 25mm<sup>2</sup> 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.
Proceedings of the IEEE International Solid-State Circuits Conference, 2021
SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33<sup>rd</sup> Hot Chips Symposium - August 22-24, 2021.
Proceedings of the IEEE Hot Chips 33 Symposium, 2021
2020
IEEE Micro, 2020
CoRR, 2020
A 3mm<sup>2</sup> Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm.
Proceedings of the IEEE Symposium on VLSI Circuits, 2020
Proceedings of the IEEE Hot Chips 32 Symposium, 2020
2019
A 16nm 25mm<sup>2</sup> SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators.
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019
Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019
Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019
2018
ACM J. Emerg. Technol. Comput. Syst., 2018
2017
A case study of machine learning hardware: Real-time source separation using Markov Random Fields via sampling-based inference.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2013
EMERALD: Characterization of emerging applications and algorithms for low-power devices.
Proceedings of the 2012 IEEE International Symposium on Performance Analysis of Systems & Software, 2013
2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012