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Duckhwan Kim
Duckhwan Kim
Verified email at nvidia.com
Title
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Year
Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory
D Kim, JH Kung, S Chai, S Yalamanchili, S Mukhopadhyay
Computer Architecture (ISCA), 2016 ACM/IEEE 43rd Annual International …, 2016
3602016
A power-aware digital feedforward neural network platform with backpropagation driven approximate synapses
J Kung, D Kim, S Mukhopadhyay
2015 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2015
392015
Adaptive weight compression for memory-efficient neural networks
JH Ko, D Kim, T Na, J Kung, S Mukhopadhyay
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
342017
A Power-Aware Digital Multilayer Perceptron Accelerator with On-Chip Training based on Approximate Computing
D Kim, J Kung, S Mukhopadhyay
IEEE Transactions on Emerging Topics in Computing 5 (2), 164-178, 2017
312017
On the impact of energy-accuracy tradeoff in a digital cellular neural network for image processing
J Kung, D Kim, S Mukhopadhyay
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2015
272015
3-D Stacked Image Sensor With Deep Neural Network Computation
MF Amir, JH Ko, T Na, D Kim, S Mukhopadhyay
IEEE Sensors Journal 18 (10), 4187-4199, 2018
262018
DeepTrain: A Programmable Embedded Platform for Training Deep Neural Networks
D Kim, T Na, S Yalamanchili, S Mukhopadhyay
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
222018
Dynamic Approximation with Feedback Control for Energy-Efficient Recurrent Neural Network Hardware
J Kung, D Kim, S Mukhopadhyay
Proceedings of the 2016 International Symposium on Low Power Electronics and …, 2016
222016
NeuroSensor: A 3D image sensor with integrated neural accelerator
MF Amir, D Kim, J Kung, D Lie, S Yalamanchili, S Mukhopadhyay
2016 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference …, 2016
172016
Animal-robot interaction for pet caring
JH Kim, SH Choi, D Kim, J Kim, M Cho
2009 IEEE International Symposium on Computational Intelligence in Robotics …, 2009
122009
Design and analysis of a neural network inference engine based on adaptive weight compression
JH Ko, D Kim, T Na, S Mukhopadhyay
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
112018
A programmable hardware accelerator for simulating dynamical systems
J Kung, Y Long, D Kim, S Mukhopadhyay
ACM SIGARCH Computer Architecture News 45 (2), 403-415, 2017
92017
Partitioning methods for interface circuit of heterogeneous 3-D-ICs under process variation
D Kim, S Mukhopadhyay
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 24 (5 …, 2015
42015
Adaptive Precision Cellular Nonlinear Network
J Kung, D Kim, S Mukhopadhyay
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (5), 841-854, 2018
32018
NeuroTrainer: An Intelligent Memory Module for Deep Learning Training
D Kim, T Na, S Yalamanchili, S Mukhopadhyay
arXiv preprint arXiv:1710.04347, 2017
32017
Energy-efficient neural image processing for Internet-of-Things edge devices
JH Ko, Y Long, MF Amir, D Kim, J Kung, T Na, AR Trivedi, ...
2017 IEEE 60th International Midwest Symposium on Circuits and Systems …, 2017
22017
On the design of reliable 3D-ICs considering charged device model ESD events during die stacking
D Kim, S Mukhopadhyay
Proceedings of the 51st Annual Design Automation Conference, 1-6, 2014
12014
NEUROCUBE: ENERGY-EFFICIENT PROGRAMMABLE DIGITAL DEEP LEARNING ACCELERATOR BASED ON PROCESSOR IN MEMORY PLATFORM
D Kim
Georgia Institute of Technology, 2017
2017
A Low-Power Wireless Image Sensor Node with Noise-Robust Moving Object Detection and a Region-of-Interest Based Rate Controller
JH Ko, MF Amir, T Na, D Kim, S Mukhopadhyay
GEORGIA INST OF TECH ATLANTA ATLANTA United States, 2017
2017
An Energy Efficient Physical Platform for Solving Differential Equations
J Kung, Y Long, D Kim, S Mukhopadhyay
Georgia Institute of Technology Atlanta United States, 2017
2017
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Articles 1–20