| Silicon photonics codesign for deep learning Q Cheng, J Kwon, M Glick, M Bahadori, LP Carloni, K Bergman Proceedings of the IEEE 108 (8), 1261-1282, 2020 | 95 | 2020 |
| Transfer learning for design-space exploration with high-level synthesis J Kwon, LP Carloni Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD, 163-168, 2020 | 46 | 2020 |
| A learning-based recommender system for autotuning design flows of industrial high-performance processors J Kwon, MM Ziegler, LP Carloni Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 40 | 2019 |
| Leveraging prior knowledge for effective design-space exploration in high-level synthesis L Ferretti, J Kwon, G Ansaloni, G Di Guglielmo, LP Carloni, L Pozzi IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 38 | 2020 |
| Multicore scheduling of parallel real-time tasks with multiple parallelization options J Kwon, KW Kim, S Paik, J Lee, CG Lee 21st IEEE Real-Time and Embedded Technology and Applications Symposium, 232-244, 2015 | 29 | 2015 |
| Accurate indoor location tracking exploiting ultrasonic reflections KW Kim, J Kwon, CG Lee, J Han IEEE Sensors Journal 16 (24), 9075-9088, 2016 | 27 | 2016 |
| Cohmeleon: Learning-based orchestration of accelerator coherence in heterogeneous SoCs J Zuckerman, D Giri, J Kwon, P Mantovani, LP Carloni MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 24 | 2021 |
| Photonic switched optically connected memory: An approach to address memory challenges in deep learning Z Zhu, GD Guglielmo, Q Cheng, M Glick, J Kwon, H Guan, LP Carloni, ... Journal of Lightwave Technology 38 (10), 2815-2825, 2020 | 16 | 2020 |
| Teaching heterogeneous computing with system-level design methods LP Carloni, EG Cota, GD Guglielmo, D Giri, J Kwon, P Mantovani, ... Proceedings of the Workshop on Computer Architecture Education, 1-8, 2019 | 10 | 2019 |
| Db4hls: A database of high-level synthesis design space explorations L Ferretti, J Kwon, G Ansaloni, G Di Guglielmo, L Carloni, L Pozzi IEEE Embedded Systems Letters 13 (4), 194-197, 2021 | 9 | 2021 |
| Online and Offline Machine Learning for Industrial Design Flow Tuning: (Invited-ICCAD Special Session Paper) MM Ziegler, J Kwon, HY Liu, LP Carloni 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 8 | 2021 |
| SynTunSys: A synthesis parameter autotuning system for optimizing high-performance processors MM Ziegler, HY Liu, G Gristede, B Owens, R Nigaglioni, J Kwon, ... Machine Learning in VLSI Computer-Aided Design, 539-570, 2019 | 5 | 2019 |
| Machine Learning for AI-Augmented Design Space Exploration of Computer Systems J Kwon Columbia University, 2022 | 1 | 2022 |
| The Interplay of Online and Offline Machine Learning for Design Flow Tuning MM Ziegler, J Kwon, HY Liu, LP Carloni Machine Learning Applications in Electronic Design Automation, 339-376, 2022 | | 2022 |
| Technical Report: Multicore Scheduling of Parallel Real-Time Tasks with Multiple Parallelization Options J Kwon, KW Kim, S Paik, J Lee, CG Lee | | |
| Technical Report (RUBIS-TR-201410-1) Experimental Data for Multicore Scheduling of Parallel Real-Time Tasks with Multiple Parallelization Options J Kwon, KW Kim, S Paik, J Lee, CG Lee | | |
