| μlayer: Low latency on-device inference using cooperative single-layer acceleration and processor-friendly quantization Y Kim, J Kim, D Chae, D Kim, J Kim Proceedings of the Fourteenth EuroSys Conference 2019, 1-15, 2019 | 114 | 2019 |
| MnnFast: a fast and scalable system architecture for memory-augmented neural networks H Jang, J Kim, JE Jo, J Lee, J Kim Proceedings of the 46th International Symposium on Computer Architecture …, 2019 | 78 | 2019 |
| CIDR: A Cost-Effective In-Line Data Reduction System for Terabit-Per-Second Scale SSD Arrays M Ajdari, P Park, J Kim, D Kwon, J Kim 2019 IEEE International Symposium on High Performance Computer Architecture …, 2019 | 36 | 2019 |
| SSDcheck: Timely and Accurate Prediction of Irregular Behaviors in Black-Box SSDs J Kim, P Park, J Ahn, J Kim, J Kim, J Kim 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture …, 2018 | 23 | 2018 |
| SSD performance modeling using bottleneck analysis J Kim, J Kim, P Park, J Kim, J Kim IEEE Computer Architecture Letters 17 (1), 80-83, 2017 | 23 | 2017 |
| NLP-Fast: A Fast, Scalable, and Flexible System to Accelerate Large-Scale Heterogeneous NLP Models J Kim, S Hur, E Lee, S Lee, J Kim 2021 30th International Conference on Parallel Architectures and Compilation …, 2021 | 17 | 2021 |
| A scalable hw-based inline deduplication for ssd arrays M Ajdari, P Park, D Kwon, J Kim, J Kim IEEE Computer Architecture Letters 17 (1), 47-50, 2017 | 15 | 2017 |
| Performance Modeling and Practical Use Cases for Black-Box SSDs J Kim, K Choi, W Lee, J Kim ACM Transactions on Storage (TOS) 17 (2), 1-38, 2021 | 14 | 2021 |
| FIDR: A Scalable Storage System for Fine-Grain Inline Data Reduction with Efficient Memory Handling M Ajdari, W Lee, P Park, J Kim, J Kim Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019 | 13 | 2019 |
| CloudSwap: A cloud-assisted swap mechanism for mobile devices D Chae, J Kim, Y Kim, J Kim, KA Chang, SB Suh, H Lee 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2016 | 12 | 2016 |
| A Fast and Flexible FPGA-based Accelerator for Natural Language Processing Neural Networks S Hur, S Na, D Kwon, J Kim, J Kim, A Boutros, E Nurvitadhi ACM Transactions on Architecture and Code Optimization (TACO), 2022 | 10 | 2022 |
| UC-Check: Characterizing Micro-operation Caches in x86 Processors and Implications in Security and Performance J Kim, H Jang, H Lee, S Lee, J Kim MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 10 | 2021 |
| DynaMix: dynamic mobile device integration for efficient cross-device resource sharing D Chae, J Kim, G Lee, H Kim, KA Chang, H Lee, J Kim 2018 {USENIX} Annual Technical Conference ({USENIX}{ATC} 18), 71-84, 2018 | 7 | 2018 |
| Enforcing Last-Level Cache Partitioning through Memory Virtual Channels J Chung, Y Ro, J Kim, J Ahn, J Kim, J Kim, JW Lee, JH Ahn 2019 28th International Conference on Parallel Architectures and Compilation …, 2019 | 5 | 2019 |
| 3D-FPIM: An Extreme Energy-Efficient DNN Acceleration System Using 3D NAND Flash-Based In-Situ PIM Unit H Lee, M Kim, D Min, J Kim, J Back, H Yoo, JH Lee, J Kim 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO …, 2022 | 3 | 2022 |
| LSim: Fine-Grained Simulation Framework for Large-Scale Performance Evaluation H Jang, T Kang, J Kim, J Cho, JE Jo, S Lee, W Chang, J Kim, H Jang IEEE Computer Architecture Letters 21 (1), 25-28, 2022 | | 2022 |
Jangwoo KimCEO at MangoBoost Inc & Professor at Seoul National UniversityVerified email at snu.ac.kr
