| Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks A Boroumand, S Ghose, Y Kim, R Ausavarungnirun, E Shiu, R Thakur, ... 23rd ACM International Conference on Architectural Support for Programming …, 2018 | 321 | 2018 |
| Stealing Webpages Rendered on Your Browser by Exploiting GPU Vulnerabilities S Lee, Y Kim, J Kim, J Kim 35th IEEE Symposium on Security & Privacy (S&P), 2014 | 121 | 2014 |
| 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 14th ACM European Conference on Computer Systems (EuroSys), 2019 | 86 | 2019 |
| Efficient Footprint Caching for Tagless DRAM Caches H Jang, Y Lee, J Kim, Y Kim, J Kim, J Jeong, JW Lee 22nd IEEE International Symposium on High Performance Computer Architecture …, 2016 | 51 | 2016 |
| Real-Time Object Detection System with Multi-Path Neural Networks S Heo, S Cho, Y Kim, H Kim 26th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2020 | 44 | 2020 |
| Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples K Choi, D Hong, N Park, Y Kim, J Lee 35th Conference on Neural Information Processing Systems (NeurIPS), 2021 | 39 | 2021 |
| DANCE: Differentiable Accelerator/Network Co-Exploration K Choi, D Hong, H Yoon, J Yu, Y Kim, J Lee 58th ACM/IEEE Design Automation Conference (DAC), 2021 | 37 | 2021 |
| GPUdmm: A High-Performance and Memory-Oblivious GPU Architecture Using Dynamic Memory Management Y Kim, J Lee, JE Jo, J Kim 20th IEEE International Symposium on High Performance Computer Architecture …, 2014 | 34 | 2014 |
| Flexon: A Flexible Digital Neuron for Efficient Spiking Neural Network Simulations D Lee, G Lee, D Kwon, S Lee, Y Kim, J Kim 45th ACM/IEEE International Symposium on Computer Architecture (ISCA), 2018 | 32 | 2018 |
| DCS: A Fast and Scalable Device-Centric Server Architecture J Ahn, D Kwon, Y Kim, M Ajdari, J Lee, J Kim 48th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2015 | 29 | 2015 |
| Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs J Lee, J Choi, J Kim, J Lee, Y Kim 58th ACM/IEEE Design Automation Conference (DAC), 2021 | 22 | 2021 |
| FlexLearn: Fast and Highly Efficient Brain Simulations Using Flexible On-Chip Learning E Baek, H Lee, Y Kim, J Kim 52nd IEEE/ACM International Symposium on Microarchitecture (MICRO), 2019 | 21 | 2019 |
| ScaleGPU: GPU Architecture for Memory-Unaware GPU Programming Y Kim, J Lee, D Kim, J Kim IEEE Computer Architecture Letters (CAL), 2013 | 20 | 2013 |
| It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher K Choi, H Lee, D Hong, J Yu, N Park, Y Kim, J Lee 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 19 | 2022 |
| DCS-ctrl: A Fast and Flexible Device-Control Mechanism for Device-Centric Server Architecture D Kwon, J Ahn, D Chae, M Ajdari, J Lee, S Bae, Y Kim, J Kim 45th ACM/IEEE International Symposium on Computer Architecture (ISCA), 2018 | 12 | 2018 |
| GPUpd: A Fast and Scalable Multi-GPU Architecture Using Cooperative Projection and Distribution Y Kim, JE Jo, H Jang, M Rhu, H Kim, J Kim 50th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2017 | 12 | 2017 |
| CloudSwap: A Cloud-Assisted Swap Mechanism for Mobile Devices D Chae, J Kim, Y Kim, J Kim, KA Chang, SB Suh, H Lee 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing …, 2016 | 11 | 2016 |
| Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression J Song, J Yim, J Jung, H Jang, HJ Kim, Y Kim, J Lee 28th ACM International Conference on Architectural Support for Programming …, 2023 | 4 | 2023 |
| GCoM: A Detailed GPU Core Model for Accurate Analytical Modeling of Modern GPUs J Lee, Y Ha, S Lee, J Woo, J Lee, H Jang, Y Kim 49th IEEE/ACM International Symposium on Computer Architecture (ISCA), 2022 | 4 | 2022 |
| Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs C Lim, S Lee, J Choi, J Lee, S Park, H Kim, J Lee, Y Kim 2023 ACM SIGMOD International Conference on Management of Data (SIGMOD), 2023 | 3 | 2023 |
Jangwoo KimCEO at MangoBoost Inc & Professor at Seoul National UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα snu.ac.kr
