Duckhwan Kim

ORCID

Publication Activity (10 Years)

Years Active: 2009-2019
Publications (10 Years): 12

Top Venues

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

ISLPED

ISCA

IEEE Trans. Very Large Scale Integr. Syst.

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

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
Heterogeneous integration for artificial intelligence: Challenges and opportunities. IBM J. Res. Dev. 63 (6) (2019)
Jong Hwan Ko, Duckhwan Kim, Taesik Na, Saibal Mukhopadhyay
Design and Analysis of a Neural Network Inference Engine Based on Adaptive Weight Compression. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (1) (2019)
Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay
Adaptive Precision Cellular Nonlinear Network. IEEE Trans. Very Large Scale Integr. Syst. 26 (5) (2018)
Duckhwan Kim, Taesik Na, Sudhakar Yalamanchili, Saibal Mukhopadhyay
DeepTrain: A Programmable Embedded Platform for Training Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (11) (2018)
Duckhwan Kim, Jaeha Kung, Saibal Mukhopadhyay
A Power-Aware Digital Multilayer Perceptron Accelerator with On-Chip Training Based on Approximate Computing. IEEE Trans. Emerg. Top. Comput. 5 (2) (2017)
Jaeha Kung, Yun Long, Duckhwan Kim, Saibal Mukhopadhyay
A Programmable Hardware Accelerator for Simulating Dynamical Systems. ISCA (2017)
Jong Hwan Ko, Duckhwan Kim, Taesik Na, Jaeha Kung, Saibal Mukhopadhyay
Adaptive weight compression for memory-efficient neural networks. DATE (2017)
Jong Hwan Ko, Yun Long, Mohammad Faisal Amir, Duckhwan Kim, Jaeha Kung, Taesik Na, Amit Ranjan Trivedi, Saibal Mukhopadhyay
Energy-efficient neural image processing for Internet-of-Things edge devices. MWSCAS (2017)
Duckhwan Kim, Taesik Na, Sudhakar Yalamanchili, Saibal Mukhopadhyay
NeuroTrainer: An Intelligent Memory Module for Deep Learning Training. CoRR (2017)
Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay
Dynamic Approximation with Feedback Control for Energy-Efficient Recurrent Neural Network Hardware. ISLPED (2016)
Duckhwan Kim, Jaeha Kung, Sek M. Chai, Sudhakar Yalamanchili, Saibal Mukhopadhyay
Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory. ISCA (2016)
Duckhwan Kim, Saibal Mukhopadhyay
Partitioning Methods for Interface Circuit of Heterogeneous 3-D-ICs Under Process Variation. IEEE Trans. Very Large Scale Integr. Syst. 24 (5) (2016)
Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay
On the Impact of Energy-Accuracy Tradeoff in a Digital Cellular Neural Network for Image Processing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34 (7) (2015)
Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay
A power-aware digital feedforward neural network platform with backpropagation driven approximate synapses. ISLPED (2015)
Youngsoo Shin, Insup Shin, Donkyu Baek, Duckhwan Kim, Seungwhun Paik
HAPL: Heterogeneous Array of Programmable Logic Using Selective Mask Patterning. IEEE Trans. Circuits Syst. I Regul. Pap. (1) (2014)
Duckhwan Kim, Saibal Mukhopadhyay
On the Design of Reliable 3D-ICs Considering Charged Device Model ESD Events During Die Stacking. DAC (2014)
Sangmin Kim, Duckhwan Kim, Youngsoo Shin
Pulsed-latch ASIC synthesis in industrial design flow. ASP-DAC (2013)
Jong-Hwan Kim, Seung-Hwan Choi, Duckhwan Kim, Joonwoo Kim, Minjoo Cho
Animal-Robot Interaction for pet caring. CIRA (2009)

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Publication Activity (10 Years)

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Duckhwan Kim