| 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 | 512 | 2016 |
| 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 | 68 | 2018 |
| 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 | 49 | 2017 |
| 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 | 48 | 2017 |
| 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 | 45 | 2015 |
| 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 | 34 | 2018 |
| 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 | 30 | 2015 |
| 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 | 20 | 2016 |
| 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 | 18 | 2018 |
| 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 | 18 | 2017 |
| 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 | 18 | 2016 |
| 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 | 18 | 2009 |
| 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 | 3 | 2018 |
| NeuroTrainer: An Intelligent Memory Module for Deep Learning Training D Kim, T Na, S Yalamanchili, S Mukhopadhyay arXiv preprint arXiv:1710.04347, 2017 | 3 | 2017 |
| 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 | 3 | 2017 |
| 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 | 3 | 2015 |
| NEUROCUBE: ENERGY-EFFICIENT PROGRAMMABLE DIGITAL DEEP LEARNING ACCELERATOR BASED ON PROCESSOR IN MEMORY PLATFORM D Kim Georgia Institute of Technology, 2017 | 1 | 2017 |
| 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 | 1 | 2014 |
| 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 |
Saibal MukhopadhyayProfessor of Electrical Engineering, Georgia Institute of Technology在 ece.gatech.edu 的电子邮件经过验证
