Hyeon Uk Sim

According to our database, Hyeon Uk Sim authored at least 16 papers between 2014 and 2022.

Collaborative distances:

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

2022

MLogNet: A Logarithmic Quantization-Based Accelerator for Depthwise Separable Convolution.

Jooyeon Choi, Hyeonuk Sim, Sangyun Oh, Sugil Lee, Jongeun Lee

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Non-uniform Step Size Quantization for Accurate Post-training Quantization.

Sangyun Oh, Hyeonuk Sim, Jounghyun Kim, Jongeun Lee

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Automated Log-Scale Quantization for Low-Cost Deep Neural Networks.

Sangyun Oh, Hyeonuk Sim, Sugil Lee, Jongeun Lee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

SparTANN: sparse training accelerator for neural networks with threshold-based sparsification.

Hyeonuk Sim, Jooyeon Choi, Jongeun Lee

Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

2019

Cost-effective stochastic MAC circuits for deep neural networks.

Hyeonuk Sim, Jongeun Lee

Neural Networks, 2019

Successive Log Quantization for Cost-Efficient Neural Networks Using Stochastic Computing.

Sugil Lee, Hyeon Uk Sim, Jooyeon Choi, Jongeun Lee

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Log-quantized stochastic computing for memory and computation efficient DNNs.

Hyeon Uk Sim, Jongeun Lee

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

XOMA: exclusive on-chip memory architecture for energy-efficient deep learning acceleration.

Hyeon Uk Sim, Jason Helge Anderson, Jongeun Lee

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

Sign-magnitude SC: getting 10X accuracy for free in stochastic computing for deep neural networks.

Aidyn Zhakatayev, Sugil Lee, Hyeon Uk Sim, Jongeun Lee

Proceedings of the 55th Annual Design Automation Conference, 2018

DPS: dynamic precision scaling for stochastic computing-based deep neural networks.

Hyeon Uk Sim, Saken Kenzhegulov, Jongeun Lee

Proceedings of the 55th Annual Design Automation Conference, 2018

2017

FPGA implementation of convolutional neural network based on stochastic computing.

Daewoo Kim, Mansureh S. Moghaddam, Hossein Moradian, Hyeon Uk Sim, Jongeun Lee, Kiyoung Choi

Proceedings of the International Conference on Field Programmable Technology, 2017

A New Stochastic Computing Multiplier with Application to Deep Convolutional Neural Networks.

Hyeon Uk Sim, Jongeun Lee

Proceedings of the 54th Annual Design Automation Conference, 2017

Scalable stochastic-computing accelerator for convolutional neural networks.

Hyeon Uk Sim, Dong Nguyen, Jongeun Lee, Kiyoung Choi

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016

Efficient High-Level Synthesis for Nested Loops of Nonrectangular Iteration Spaces.

Hyeon Uk Sim, Atul Rahman, Jongeun Lee

IEEE Trans. Very Large Scale Integr. Syst., 2016

Mapping Imperfect Loops to Coarse-Grained Reconfigurable Architectures.

Hyeon Uk Sim, Hongsik Lee, Seongseok Seo, Jongeun Lee

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

2014

Flattening-based mapping of imperfect loop nests for CGRAs?

Jongeun Lee, Seongseok Seo, Hongsik Lee, Hyeon Uk Sim

Proceedings of the 2014 International Conference on Hardware/Software Codesign and System Synthesis, 2014