| Neurocube: A programmable digital neuromorphic architecture with high-density 3D memory D Kim, J Kung, S Chai, S Yalamanchili, S Mukhopadhyay ACM SIGARCH Computer Architecture News 44 (3), 380-392, 2016 | 536 | 2016 |
| 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 | 52 | 2017 |
| 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 | 52 | 2017 |
| On-chip training of recurrent neural networks with limited numerical precision T Na, JH Ko, J Kung, S Mukhopadhyay 2017 International Joint Conference on Neural Networks (IJCNN), 3716-3723, 2017 | 51 | 2017 |
| Efficient object detection using embedded binarized neural networks J Kung, D Zhang, G Van der Wal, S Chai, S Mukhopadhyay Journal of Signal Processing Systems 90, 877-890, 2018 | 48 | 2018 |
| Design and analysis of approximate compressors for balanced error accumulation in MAC operator G Park, J Kung, Y Lee IEEE Transactions on Circuits and Systems I: Regular Papers 68 (7), 2950-2961, 2021 | 46 | 2021 |
| 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 | 46 | 2015 |
| Approximate LSTM computing for energy-efficient speech recognition J Jo, J Kung, Y Lee Electronics 9 (12), 2004, 2020 | 32 | 2020 |
| 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 | 31 | 2015 |
| ReRAM crossbar based recurrent neural network for human activity detection Y Long, EM Jung, J Kung, S Mukhopadhyay 2016 international joint conference on neural networks (IJCNN), 939-946, 2016 | 30 | 2016 |
| Maximizing system performance by balancing computation loads in LSTM accelerators J Park, J Kung, W Yi, JJ Kim 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 7-12, 2018 | 26 | 2018 |
| 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 | 26 | 2016 |
| FlexBlock: A flexible DNN training accelerator with multi-mode block floating point support SH Noh, J Koo, S Lee, J Park, J Kung IEEE Transactions on Computers 72 (9), 2522-2535, 2023 | 25 | 2023 |
| A Programmable Hardware Accelerator for Simulating Dynamical Systems J Kung, Y Long, D Kim, S Mukhopadhyay Computer Architecture (ISCA), 2017 ACM/IEEE 44th Annual International …, 2017 | 20 | 2017 |
| Simplified compressor and encoder designs for low-cost approximate radix-4 booth multiplier G Park, J Kung, Y Lee IEEE Transactions on Circuits and Systems II: Express Briefs 70 (3), 1154-1158, 2022 | 19 | 2022 |
| 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 | 19 | 2016 |
| Neurocube: A programmable digital neuromorphic architecture with high-density 3D memory. In 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA … D Kim, J Kung, S Chai, S Yalamanchili, S Mukhopadhyay doi. org/10.1109/ISCA, 2016 | 19 | 2016 |
| Thermal signature: A simple yet accurate thermal index for floorplan optimization J Kung, I Han, S Sapatnekar, Y Shin Proceedings of the 48th Design Automation Conference, 108-113, 2011 | 19 | 2011 |
| High-throughput near-memory processing on CNNs with 3D HBM-like memory N Park, S Ryu, J Kung, JJ Kim ACM Transactions on Design Automation of Electronic Systems (TODAES) 26 (6 …, 2021 | 14 | 2021 |
| A 1V 136.6 dB-DR 4kHz-BW Current-to-Digital Converter with a Truncation-Noise-Shaped Baseline-Servo-Loop in 0.18\mu\mathrm {m} $ CMOS T Seol, S Lee, G Kim, S Kim, E Kim, S Baik, J Kung, JW Choi, AK George, ... 2023 IEEE International Solid-State Circuits Conference (ISSCC), 482-484, 2023 | 13 | 2023 |
Saibal MukhopadhyayProfessor of Electrical Engineering, Georgia Institute of Technologyایمیل تأیید شده در ece.gatech.edu
