| A^3: Accelerating Attention Mechanisms in Neural Networks with Approximation TJ Ham, SJ Jung, S Kim, YH Oh, Y Park, Y Song, JH Park, S Lee, K Park, ... 2020 IEEE International Symposium on High Performance Computer Architecture …, 2020 | 147 | 2020 |
| A Portable, Automatic Data Quantizer for Deep Neural Networks YH Oh, Q Quan, D Kim, S Kim, J Heo, S Jung, J Jang, JW Lee Proceedings of the 27th International Conference on Parallel Architectures …, 2018 | 36 | 2018 |
| Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-wise Scheduling YH Oh, S Kim, Y Jin, S Son, J Bae, J Lee, Y Park, DU Kim, TJ Ham, ... 2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021 | 35 | 2021 |
| eDRAM-based Tiered-reliability Memory with Applications to Low-power Frame Buffers K Cho, Y Lee, YH Oh, G Hwang, JW Lee 2014 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2014 | 35 | 2014 |
| Genesis: a Hardware Acceleration Framework for Genomic Data Analysis TJ Ham, D Bruns-Smith, B Sweeney, Y Lee, SH Seo, UG Song, YH Oh, ... 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 30 | 2020 |
| Typed Architectures: Architectural Support for Lightweight Scripting C Kim, J Kim, S Kim, D Kim, N Kim, G Na, YH Oh, HG Cho, JW Lee ACM Proceedings of the Twenty-Second International Conference on …, 2017 | 16 | 2017 |
| An eDRAM-Based Approximate Register File for GPUs D Jeong, YH Oh, Y Park, JW Lee IEEE Design & Test: Special Issues on Approximate Computing 33 (1), 23-31, 2016 | 14 | 2016 |
| Short-Circuit Dispatch: Accelerating Virtual Machine Interpreters on Embedded Processors C Kim, S Kim, HG Cho, D Kim, J Kim, YH Oh, H Jang, JW Lee International Symposium on Computer Architecture (ISCA), 291-303, 2016 | 9 | 2016 |
| JAWS: a JavaScript Framework for Adaptive CPU-GPU Work Sharing X Piao, C Kim, YH Oh, H Li, J Kim, H Kim, JW Lee Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of …, 2015 | 7 | 2015 |
| Accelerating Genomic Data Analytics With Composable Hardware Acceleration Framework TJ Ham, Y Lee, SH Seo, UG Song, JW Lee, D Bruns-Smith, B Sweeney, ... IEEE Micro 41 (3), 42-49, 2021 | 5 | 2021 |
| Efficient CPU-GPU Work Sharing for Data-parallel JavaScript Workloads X Piao, C Kim, YH Oh, H Kim, JW Lee Proceedings of the companion publication of the 23rd international …, 2014 | 2 | 2014 |
| An 8-bit Ring-Amplifier Based Mixed-Signal MAC Circuit With Full Digital Interface and Variable Accumulation Length J Kim, B Seo, YH Oh, JH Chun, JW Lee, J Kim IEEE Access 9, 5887-5894, 2020 | 1 | 2020 |
| Automatic Runtime Selection of Best Hardware for Data-Parallel JavaScript Kernels via Lifelong Profiling YH Oh, C Kim, X Piao, JW Lee The Second International Workshop on Parallelism in Mobile Platforms (PRISM-2), 2014 | 1* | 2014 |
| A 4-bit 4.5-ns-Latency Pseudo-ReRAM Computing-In-Memory Macro With Self Error-Correcting DTC-Based WL Drivers and 6-bit CDAC-Less Column ADCs Having Ultra-Narrow Pitch J Kim, YH Oh, H Kim, JW Lee, J Kim IEEE Transactions on Circuits and Systems II: Express Briefs, 2023 | | 2023 |
| Universal Deep Learning Compiler: The endtoend compilerdriven software infrastructure for AI accelerators and systems H Jung, G Lee, B Kim, S Yoon, H Nam, H Kim, D Lim, YH Oh, H Shin, H Ji, ... The 4th Interrnational Workshop on Compilers for Machine Learning (C4ML), 2023 | | 2023 |
| Hardware and Software Techniques for Improving NPU Resource Utilization YH Oh Ph.D. Thesis, Department of Electrical and Computer Engineering …, 2022 | | 2022 |
| Layerweaver+: A QoS-Aware Layer-Wise DNN Scheduler for Multi-Tenant Neural Processing Units YH Oh, Y Jin, TJ Ham, JW Lee IEICE Transactions on Information and Systems 105 (2), 427-431, 2022 | | 2022 |
| QoS-aware Dynamic Power Optimization for Data-Parallel JavaScript Programs YH Oh, W Lee, X Piao, C Kim, JW Lee | | |
Jae W. LeeProfessor of Computer Science and Engineering, Seoul National University, Korea在 snu.ac.kr 的电子邮件经过验证
