| Energy-efficient acceleration of deep neural networks on realtime-constrained embedded edge devices B Kim, S Lee, AR Trivedi, WJ Song IEEE Access 8, 216259-216270, 2020 | 26 | 2020 |
| Duplo: Lifting redundant memory accesses of deep neural networks for GPU tensor cores H Kim, S Ahn, Y Oh, B Kim, WW Ro, WJ Song 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 21 | 2020 |
| The nebula benchmark suite: Implications of lightweight neural networks B Kim, S Lee, C Park, H Kim, WJ Song IEEE Transactions on Computers 70 (11), 1887-1900, 2020 | 5 | 2020 |
| NeuroSpector: Systematic Optimization of Dataflow Scheduling in DNN Accelerators C Park, B Kim, S Ryu, WJ Song IEEE Transactions on Parallel and Distributed Systems 34 (8), 2279-2294, 2023 | 1 | 2023 |
| Operation device of convolutional neural network, operation method of convolutional neural network and computer program stored in a recording medium to execute the method thereof WJ Song, WW Ro, H Kim, AHN Sungwoo, OH Yunho, KIM Bogil US Patent App. 17/752,235, 2022 | 1 | 2022 |
| Deep neural network accelerator for optimized data processing, and control method of the deep neural network accelerator WJ Song, KIM Bogil, C Park, S Koong, T Lim US Patent App. 18/127,875, 2023 | | 2023 |
| Neural network computing device and control method thereof WJ Song, C Park, KIM Bogil, RYU Sungmin US Patent App. 17/883,010, 2023 | | 2023 |
