Myeongjae Jeon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
13
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EuroSys | Garen: Reliable Cluster Management with Atomic State Reconciliation. | Mingi Kim, Ahnjae Shin, Jaewoo Maeng, Myeongjae Jeon, Byung-Gon Chun |
| 2026 | EuroSys | Carbon-Aware Continuous Learning for Sustainable Real-Time Machine Learning Analytics. | Gwanjong Park, Osama Khan, Dongho Ha, Myeongjae Jeon, Euiseong Seo |
| 2025 | ICLR | A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention. | Heejun Lee, Geon Park, Youngwan Lee, Jaduk Suh, Jina Kim, Wonyong Jeong, Bumsik Kim, Hyemin Lee, Myeongjae Jeon, Sung Ju Hwang |
| 2025 | ICLR | Training Free Exponential Context Extension via Cascading KV Cache. | Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon, Sung Ju Hwang |
| 2024 | EuroSys | Blaze: Holistic Caching for Iterative Data Processing. | Won Wook Song, Jeongyoon Eo, Taegeon Um, Myeongjae Jeon, Byung-Gon Chun |
| 2024 | USENIX | Metis: Fast Automatic Distributed Training on Heterogeneous GPUs. | Taegeon Um, Byungsoo Oh, Minyoung Kang, Woo-Yeon Lee, Goeun Kim, Dongseob Kim, Youngtaek Kim, Mohd Muzzammil, Myeongjae Jeon |
| 2023 | MOBICOM | Cost-effective On-device Continual Learning over Memory Hierarchy with Miro. | Xinyue Ma, Suyeon Jeong, Minjia Zhang, Di Wang, Jonghyun Choi, Myeongjae Jeon |
| 2023 | USENIX | EnvPipe: Performance-preserving DNN Training Framework for Saving Energy. | Sangjin Choi, Inhoe Koo, Jeongseob Ahn, Myeongjae Jeon, Youngjin Kwon |
| 2023 | USENIX | Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks. | Won Wook Song, Taegeon Um, Sameh Elnikety, Myeongjae Jeon, Byung-Gon Chun |
| 2022 | DAC | CarM: hierarchical episodic memory for continual learning. | Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon |
| 2022 | ICDE | Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing. | Atul Sandur, Chanho Park, Stavros Volos, Gul Agha, Myeongjae Jeon |
| 2022 | WWW | Streaming Analytics with Adaptive Near-data Processing. | Atul Sandur, Chanho Park, Stavros Volos, Gul Agha, Myeongjae Jeon |
| 2022 | USENIX | Memory Harvesting in Multi-GPU Systems with Hierarchical Unified Virtual Memory. | Sangjin Choi, Taeksoo Kim, Jinwoo Jeong, Rachata Ausavarungnirun, Myeongjae Jeon, Youngjin Kwon, Jeongseob Ahn |
| 2022 | USENIX | Sibylla: To Retry or Not To Retry on Deep Learning Job Failure. | Taeyoon Kim, Suyeon Jeong, Jongseop Lee, Soobee Lee, Myeongjae Jeon |
| 2021 | WWW | Reliability of Large Scale GPU Clusters for Deep Learning Workloads. | Junjie Qian, Taeyoon Kim, Myeongjae Jeon |
| 2021 | USENIX | Zico: Efficient GPU Memory Sharing for Concurrent DNN Training. | Gangmuk Lim, Jeongseob Ahn, Wencong Xiao, Youngjin Kwon, Myeongjae Jeon |
| 2020 | ICDE | Approximate Quantiles for Datacenter Telemetry Monitoring. | Gangmuk Lim, Mohamed S. Hassan, Ze Jin, Stavros Volos, Myeongjae Jeon |
| 2019 | ASPLOS | StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory. | Hongyu Miao, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, Felix Xiaozhu Lin |
| 2019 | NSDI | Tiresias: A GPU Cluster Manager for Distributed Deep Learning. | Juncheng Gu, Mosharaf Chowdhury, Kang G. Shin, Yibo Zhu, Myeongjae Jeon, Junjie Qian, Hongqiang Harry Liu, Chuanxiong Guo |
| 2019 | USENIX | Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads. | Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang |
| 2018 | USENIX | TerseCades: Efficient Data Compression in Stream Processing. | Gennady Pekhimenko, Chuanxiong Guo, Myeongjae Jeon, Peng Huang, Lidong Zhou |
| 2017 | USENIX | StreamBox: Modern Stream Processing on a Multicore Machine. | Hongyu Miao, Heejin Park, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, Felix Xiaozhu Lin |
| 2016 | ASPLOS | TPC: Target-Driven Parallelism Combining Prediction and Correction to Reduce Tail Latency in Interactive Services. | Myeongjae Jeon, Yuxiong He, Hwanju Kim, Sameh Elnikety, Scott Rixner, Alan L. Cox |
| 2016 | SIGMETRICS | SSD Failures in Datacenters: What, When and Why? | Iyswarya Narayanan, Di Wang, Myeongjae Jeon, Bikash Sharma, Laura Caulfield, Anand Sivasubramaniam, Ben Cutler, Jie Liu, Badriddine M. Khessib, Kushagra Vaid |
| 2016 | SYSTOR | SSD Failures in Datacenters: What? When? and Why? | Iyswarya Narayanan, Di Wang, Myeongjae Jeon, Bikash Sharma, Laura Caulfield, Anand Sivasubramaniam, Ben Cutler, Jie Liu, Badriddine M. Khessib, Kushagra Vaid |
| 2014 | SIGIR | Predictive parallelization: taming tail latencies in web search. | Myeongjae Jeon, Saehoon Kim, Seung-won Hwang, Yuxiong He, Sameh Elnikety, Alan L. Cox, Scott Rixner |
| 2013 | EuroSys | Adaptive parallelism for web search. | Myeongjae Jeon, Yuxiong He, Sameh Elnikety, Alan L. Cox, Scott Rixner |
| 2008 | EuroPar | Guest-Aware Priority-Based Virtual Machine Scheduling for Highly Consolidated Server. | Dongsung Kim, Hwanju Kim, Myeongjae Jeon, Euiseong Seo, Joonwon Lee |