Improving GPU multitasking efficiency using dynamic resource sharing J Kim, J Cha, JJK Park, D Jeon, Y Park IEEE Computer Architecture Letters 18 (1), 1-5, 2018 | 20 | 2018 |
Network-on-chip microarchitecture-based covert channel in gpus J Ahn, J Kim, H Kasan, L Delshadtehrani, W Song, A Joshi, J Kim MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 18 | 2021 |
Trident: A hybrid correlation-collision GPU cache timing attack for AES key recovery J Ahn, C Jin, J Kim, M Rhu, Y Fei, D Kaeli, J Kim 2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021 | 13 | 2021 |
Networked SSD: Flash Memory Interconnection Network for High-Bandwidth SSD J Kim, S Kang, Y Park, J Kim 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 388-403, 2022 | 7 | 2022 |
Decoupled ssd: Reducing data movement on nand-based flash ssd J Kim, M Jung, J Kim IEEE Computer Architecture Letters 20 (2), 150-153, 2021 | 7 | 2021 |
Navigator: Dynamic multi-kernel scheduling to improve GPU performance J Kim, J Kim, Y Park 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 5 | 2020 |
Core-level DVFS for Spatial Multitasking GPUs J Cha, J Kim, Y Park TENCON 2018-2018 IEEE Region 10 Conference, 1525-1528, 2018 | 2 | 2018 |
Efficient GPU multitasking with latency minimization and cache boosting J Kim, M Chu, Y Park IEICE Electronics Express 14 (7), 20161158-20161158, 2017 | 2 | 2017 |
Bandwidth bottleneck in network-on-chip for high-throughput processors J Kim, S Cho, M Rhu, A Bakhoda, TM Aamodt, J Kim Proceedings of the ACM International Conference on Parallel Architectures …, 2020 | 1 | 2020 |
GATE: A generalized dataflow-level approximation tuning engine for data parallel architectures S Kang, Y Yu, J Kim, Y Park Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 1 | 2019 |
Decoupled SSD: Rethinking SSD Architecture through Network-based Flash Controllers J Kim, M Jung, J Kim Proceedings of the 50th Annual International Symposium on Computer …, 2023 | | 2023 |