| Sparsity-aware and re-configurable NPU architecture for Samsung flagship mobile SoC JW Jang, S Lee, D Kim, H Park, AS Ardestani, Y Choi, C Kim, Y Kim, H Yu, ... 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021 | 76 | 2021 |
| 9.5 A 6K-MAC feature-map-sparsity-aware neural processing unit in 5nm flagship mobile SoC JS Park, JW Jang, H Lee, D Lee, S Lee, H Jung, S Lee, S Kwon, K Jeong, ... 2021 IEEE International Solid-State Circuits Conference (ISSCC) 64, 152-154, 2021 | 48 | 2021 |
| Dynamic behavior specification and dynamic mapping for real-time embedded systems: Hopes approach H Jung, C Lee, SH Kang, S Kim, H Oh, S Ha ACM Transactions on Embedded Computing Systems (TECS) 13 (4s), 1-26, 2014 | 39 | 2014 |
| Automatic CUDA code synthesis framework for multicore CPU and GPU architectures H Jung, Y Yi, S Ha Parallel Processing and Applied Mathematics: 9th International Conference …, 2012 | 17 | 2012 |
| Library support in an actor-based parallel programming platform H Park, H Jung, H Oh, S Ha IEEE Transactions on Industrial Informatics 7 (2), 340-353, 2011 | 14 | 2011 |
| Multiprocessor scheduling of a multi-mode dataflow graph considering mode transition delay H Jung, H Oh, S Ha ACM Transactions on Design Automation of Electronic Systems (TODAES) 22 (2 …, 2017 | 12 | 2017 |
| Semo: Service-oriented and model-based software framework for cooperating robots H Hong, H Jung, K Park, S Ha IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 11 | 2018 |
| HOPES: Programming Platform Approach for Embedded Systems Design. S Ha, H Jung Handbook of Hardware/Software Codesign, 951-981, 2017 | 6 | 2017 |
| Service-Oriented robot software development framework for distributed heterogeneous platforms H Hong, H Jung, KK Park, Y Yoon, S Ha Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 2 | 2018 |
| Multiprocessor scheduling of an SDF graph with library tasks considering the worst case contention delay H Jung, H Oh, S Ha Proceedings of the 14th ACM/IEEE Symposium on Embedded Systems for Real-Time …, 2016 | 2 | 2016 |
| Accelerating Deep Neural Networks on Mobile Multicore NPUs H Jung, H Ji, A Pushchin, M Ostapenko, W Niu, I Palachev, Y Qu, P Fedin, ... Proceedings of the 21st ACM/IEEE International Symposium on Code Generation …, 2023 | 1 | 2023 |
| Neural network operation apparatus and method J Hanwoong, HA Soonhoi, K Donghyun, K Duseok US Patent App. 17/378,867, 2022 | 1 | 2022 |
| Apparatus and method with neural network operation J Hanwoong, HA Soonhoi, K Donghyun, K Duseok US Patent 11,928,469, 2024 | | 2024 |
| Compilation method and apparatus with neural network J Hanwoong US Patent App. 18/464,044, 2023 | | 2023 |
| Compilation method and apparatus with neural network J Hanwoong US Patent 11,789,710, 2023 | | 2023 |
| Apparatus and method with neural network operation J Hanwoong, HA Soonhoi, K Donghyun, K Duseok US Patent App. 17/863,963, 2023 | | 2023 |
| Neural network operation method and apparatus M Ostapenko, J Hanwoong US Patent App. 17/688,288, 2023 | | 2023 |
| Method and apparatus for scheduling neural network operation J Hanwoong, S Joonho, S Lee US Patent App. 17/467,890, 2022 | | 2022 |
| Method and apparatus with neural network operation MW Kim, J Hanwoong US Patent App. 17/191,292, 2022 | | 2022 |
