Duckhwan Kim

19 papers A* 3A 3Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2019 J jnl
Design and Analysis of a Neural Network Inference Engine Based on Adaptive Weight Compression.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jong Hwan Ko, Duckhwan Kim, Taesik Na, Saibal Mukhopadhyay
2019 J jnl
Heterogeneous integration for artificial intelligence: Challenges and opportunities.
IBM J. Res. Dev.
Saibal Mukhopadhyay, Yun Long, Burhan Ahmad Mudassar, C. S. Nair, Bartlet H. DeProspo, Hakki Mert Torun, M. Kathaperumal, V. Smet, Duckhwan Kim, Sudhakar Yalamanchili, Madhavan Swaminathan
2019 — —
Neurocube: Energy-Efficient Programmable Digital Deep Learning Accelerator based on Processor in Memory Platform.
Duckhwan Kim
2018 J jnl
Adaptive Precision Cellular Nonlinear Network.
IEEE Trans. Very Large Scale Integr. Syst.
Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay
2018 J jnl
DeepTrain: A Programmable Embedded Platform for Training Deep Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Duckhwan Kim, Taesik Na, Sudhakar Yalamanchili, Saibal Mukhopadhyay
2017 J jnl
A Power-Aware Digital Multilayer Perceptron Accelerator with On-Chip Training Based on Approximate Computing.
IEEE Trans. Emerg. Top. Comput.
Duckhwan Kim, Jaeha Kung, Saibal Mukhopadhyay
2017 A* conf
A Programmable Hardware Accelerator for Simulating Dynamical Systems.
ISCA
Jaeha Kung, Yun Long, Duckhwan Kim, Saibal Mukhopadhyay
2017 A conf
Adaptive weight compression for memory-efficient neural networks.
DATE
Jong Hwan Ko, Duckhwan Kim, Taesik Na, Jaeha Kung, Saibal Mukhopadhyay
2017 — conf
Energy-efficient neural image processing for Internet-of-Things edge devices.
MWSCAS
Jong Hwan Ko, Yun Long, Mohammad Faisal Amir, Duckhwan Kim, Jaeha Kung, Taesik Na, Amit Ranjan Trivedi, Saibal Mukhopadhyay
2017 J jnl
NeuroTrainer: An Intelligent Memory Module for Deep Learning Training.
CoRR
Duckhwan Kim, Taesik Na, Sudhakar Yalamanchili, Saibal Mukhopadhyay
2016 A conf
Dynamic Approximation with Feedback Control for Energy-Efficient Recurrent Neural Network Hardware.
ISLPED
Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay
2016 A* conf
Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory.
ISCA
Duckhwan Kim, Jaeha Kung, Sek M. Chai, Sudhakar Yalamanchili, Saibal Mukhopadhyay
2016 J jnl
Partitioning Methods for Interface Circuit of Heterogeneous 3-D-ICs Under Process Variation.
IEEE Trans. Very Large Scale Integr. Syst.
Duckhwan Kim, Saibal Mukhopadhyay
2015 A conf
A power-aware digital feedforward neural network platform with backpropagation driven approximate synapses.
ISLPED
Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay
2015 J jnl
On the Impact of Energy-Accuracy Tradeoff in a Digital Cellular Neural Network for Image Processing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay
2014 J jnl
HAPL: Heterogeneous Array of Programmable Logic Using Selective Mask Patterning.
IEEE Trans. Circuits Syst. I Regul. Pap.
Youngsoo Shin, Insup Shin, Donkyu Baek, Duckhwan Kim, Seungwhun Paik
2014 A* conf
On the Design of Reliable 3D-ICs Considering Charged Device Model ESD Events During Die Stacking.
DAC
Duckhwan Kim, Saibal Mukhopadhyay
2013 — conf
Pulsed-latch ASIC synthesis in industrial design flow.
ASP-DAC
Sangmin Kim, Duckhwan Kim, Youngsoo Shin
2009 — conf
Animal-Robot Interaction for pet caring.
CIRA
Jong-Hwan Kim, Seung-Hwan Choi, Duckhwan Kim, Joonwoo Kim, Minjoo Cho