Yuji Chai

According to our database, Yuji Chai authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs.

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

IEEE J. Solid State Circuits, February, 2023

INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation.

Yuji Chai, John Gkountouras, Glenn G. Ko, David Brooks, Gu-Yeon Wei

CoRR, 2023

PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices.

Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough

CoRR, 2023

Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation.

Rongjian Liang, Nathaniel Ross Pinckney, Yuji Chai, Haoxin Ren, Brucek Khailany

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Bigger&Faster: Two-stage Neural Architecture Search for Quantized Transformer Models.

Yuji Chai, Luke Bailey, Yunho Jin, Matthew Karle, Glenn G. Ko

CoRR, 2022

CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators.

Yuji Chai, Glenn G. Ko, Wei-Te Mark Ting, Luke Bailey, David Brooks, Gu-Yeon Wei

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021

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.

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

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^rd Hot Chips Symposium - August 22-24, 2021.

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

Proceedings of the IEEE Hot Chips 33 Symposium, 2021

2020

A 3mm² Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm.

Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei

Proceedings of the IEEE Symposium on VLSI Circuits, 2020

A Scalable Bayesian Inference Accelerator for Unsupervised Learning.

Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, Gu-Yeon Wei, David Brooks

Proceedings of the IEEE Hot Chips 32 Symposium, 2020

2019

Accelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling.

Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei

Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

FlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs.

Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019