Research Team: OMNIA
Email: mj.jeon_at_postech.ac.kr
Research Team: OMNIA
Email: mj.jeon_at_postech.ac.kr
I am an associate professor in the Computer Science and Engineering Department and Graduate School of Artificial Intelligence at POSTECH. Previously, I was an associate professor at UNIST and a visiting professor in the DeepSpeed team at Microsoft. Prior to joining UNIST in 2018 fall, I spent several years in industry with Systems Research Group at Microsoft Research (2015 - 2018) and with Systems Research Group at the ARM Research (2014 - 2015). My prior research work has been deployed in several production systems in Microsoft, including Bing search engine, Open Platform for AI (OpenPAI), and Azure telemetry monitoring system, bringing real-world impacts from systems research. Currently at POSTECH, I focus on AI systems, real-time big data analytics, and systems for new HW, with my team members at OMNIA Lab.
I finished my Ph.D. in Computer Science at Rice University in May 2014, under the supervision of Prof. Alan L. Cox and Prof. Scott Rixner. During my Ph.D. I actively collaborated with Dr. Yuxiong He and Dr. Sameh Elnikety through four internships at Microsoft Research. I received the M.S. degree in computer science from KAIST and the B.E. degree in computer engineering from Kwangwoon University.Â
I won the Best Paper Awards from ICDE 2022 and SYSTOR 2016 and was selected twice as a Meta Faculty Research Award Finalist in 2020 and 2022.
I am looking for self-motivated and hard-working students and currently have openings for undergraduate internships and graduate-level studies. If you're interested in building system platforms for AI & big data processing, cloud computing, and various emerging hardware, please reach out by introducing yourself (with your CV and transcript). I highly encourage prospective graduate students to consider an internship with us "before" applying to POSTECH.Â
Jul. 2025Â Â Serving as the PC at PPoPP'26
Mar. 2025Â Â Serving as the PC at NAIC'25
Feb. 2025Â Â Serving as the PC at MICRO'25
Jan. 2025Â Â Serving as the PC at ASPLOS'26
Nov. 2024Â Â Serving as the General Chair at APSys'25
Sep. 2024Â Â Serving as the PC at ICDCS'25 (Distributed Systems for AI/ML track)
Aug. 2024Â Â Joined POSTECH as an Associate Professor
May 2024Â Â Serving as the PC at HPCA'25
Feb. 2024Â Â Serving as the PC at APSys'24
Dec. 2023Â Â Serving as the PC at ICDCS'24 (AI/ML for Distributed Systems track)
Sep. 2023Â Â Serving as the PC at SYSTOR'24
May 2023Â Â Giving a talk on systems for on-device continual learning at POSTECH and Ajou U seminars
Oct. 2022Â Â My research team and myself are featured in UNIST magazine (link)
Oct. 2022Â Â Serving as the PC at ICDCS'23 (AI for Systems and Systems for AI track)
Sep. 2022 Â Â Selected as a Facebook Faculty Research Award finalist
May 2022Â Â Received Best Paper Award from ICDE'22 (news)
Apr. 2022Â Â Giving a talk on systems for continual learning and ML data augmentation at LG AI Research Lab
Feb. 2022Â Â Giving a talk on streaming analytics with adaptive near-data processing at Computer System Society
Oct. 2021Â Â Serving as the PC at ICDCS'22 (ML on or for Distributed Systems track)
Oct. 2021Â Â Serving as a vice session chair at SOSP'21 (Learning track)
Sep. 2021Â Â Selected as one of 7 AI research labs by Kakao Brain (We are the only lab in AI systems: news)
Nov. 2020Â Â Serving as the PC at ICDCS'21 (ML on or for Distributed Systems track)
Jul. 2020 Â Â Selected as a Facebook Faculty Research Award finalist
Apr. 2020Â Â Giving a talk on our ML systems research at Samsung Electronics (for Data & IT center)
Jan. 2020Â Â Serving as the PC at ICDCS'20 (Distributed & Federated Learning track)
Oct. 2019Â Â Attending Rice CS 35th Anniversary as a panel speaker for "The Role of Programming Systems while Hardware Specialization is Exploding" with Kathryn, Mary, Dan, and FelixÂ
Computer architecture 2023 fall, 2021 fall
Operating systems     2021 spring, 2020 spring
Parallel computing          2022 fall, 2019 spring
Data structure         2020 fall, 2019 fall, 2018 fall
Big data systems (graduate) 2021 fall
AI systems (graduate)Â Â 2024 fall, 2022 fall, 2020 fall, 2019 spring
Garen: Reliable Cluster Management with Atomic State Reconciliation
Mingi Kim, Ahnjae Shin, Jaewoo Maeng, Myeongjae Jeon, Byung-Gon Chun
EuroSys, Apr. 2026 [PDF]
Carbon-Aware Continuous Learning for Sustainable Real-Time Machine Learning Analytics
Gwanjong Park, Osama Khan, Dongho Ha, Myeongjae Jeon, Euiseong Seo
EuroSys, Apr. 2026 [PDF]
Training-Free Exponential Context Extension via Cascading KV Cache
Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon, Sung Ju Hwang
ICLR, Apr. 2025 [PDF]
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
ICLR, Apr. 2025 [PDF]
REP: Resource-Efficient Prompting for On-device Continual Learning
Sungho Jeon, Xinyue Ma, Kwang In Kim, Myeongjae Jeon
Preprint, Jun. 2024 [PDF]
FusionFlow: Accelerating Data Preprocessing for Machine Learning with CPU-GPU Cooperation
Taeyoon Kim, Chanho Park, Mansur Mukimbekov, Heelim Hong, Minseok Kim, Ze Jin, Changdae Kim, Ji-Yong Shin, Myeongjae Jeon
VLDB, Aug. 2024 [PDF]
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
USENIX ATC, Jul. 2024 [PDF]
Blaze: Holistic Caching for Iterative Data Processing
Won Wook Song, Jeongyoon Eo, Taegeon Um, Myeongjae Jeon, Byung-Gon Chun
EuroSys, Apr. 2024 [PDF]
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks
EnvPipe: Performance-preserving DNN Training Framework for Saving Energy
SWAN: WAN-aware Stream Processing on Geographically-distributed Clusters
Won Wook Song, Myeongjae Jeon, Byung-Gon Chun
ACM APSys, Aug. 2022 [PDF]
Sibylla: To Retry or Not To Retry on Deep Learning Job Failure
Memory Harvesting in Multi-GPU Systems with Hierarchical Unified Virtual Memory
CarM: Hierarchical Episodic Memory for Continual Learning
Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon
DAC, Jul. 2022 [PDF][PDF(extended)][Code]
Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing
Atul Sandur, ChanHo Park, Stavros Volos, Gul Agha, Myeongjae Jeon
IEEE ICDE, May 2022 (Best Paper) [PDF][PDF(extended)][Code]
Streaming Analytics with Adaptive Near-data Processing
Atul Sandur, ChanHo Park, Stavros Volos, Gul Agha, Myeongjae Jeon
EMDC, Apr. 2022 [PDF] (Invited paper)
Zico: Efficient GPU Memory Sharing for Concurrent DNN Training
Reliability of Large-scale GPU Clusters for Deep Learning Workloads
Junjie Qian, Taeyoon Kim, Myeongjae Jeon
EMDC, Apr. 2021 [PDF] (Invited paper)
Approximate Quantiles for Datacenter Telemetry Monitoring
Gangmuk Lim, Mohamed Hassan, Ze Jin, Stavros Volos, Myeongjae Jeon
IEEE ICDE, Apr. 2020 [PDF] [PDF(extended)][Talk][Slides] (Short paper)
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory
Tiresias: A GPU Cluster Manager for Distributed Deep Learning
Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement
Jay H. Park, Sunghwan Kim, Jinwon Lee, Myeongjae Jeon, Sam H. Noh
Preprint, Jan. 2019 [PDF]
TerseCades: Efficient Data Compression in Stream Processing
Gennady Pekhimenko, Chuanxiong Guo, Myeongjae Jeon, Peng Huang, Lidong Zhou
USENIX ATC, Jul. 2018 [PDF][Slides]
StreamBox: Modern Stream Processing on a Multicore Machine
Hongyu Miao, Heejin Park, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, Felix Xiaozhu Lin
USENIX ATC, Jul. 2017 [PDF][Slides][Code]
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 Khessib, Kushagra Vaid
ACM SIGMETRICS / IFIP Performance, Jun. 2016 [PDF] (Poster)
ACM SYSTOR, Jun. 2016 (Best Student Paper) [PDF]
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
ASPLOS, Apr. 2016 [PDF][Slides]
Predictive Parallelization: Taming Tail Latencies in Web Search
Myeongjae Jeon, Saehoon Kim, Seung-Won Hwang, Yuxiong He, Sameh Elnikety, Alan L. Cox, Scott Rixner
ACM SIGIR, Jul. 2014 [PDF][Slides(pptx)]
Reducing DRAM Row Activations with Eager Read/Write Clustering
Myeongjae Jeon, Conglong Li, Alan L. Cox, Scott Rixner
ACM Transactions on Architecture and Code Optimization (TACO), Dec. 2013 [PDF]
Adaptive Parallelism for Web Search
Myeongjae Jeon, Yuxiong He, Sameh Elnikety, Alan L. Cox, Scott Rixner
EuroSys, Apr. 2013 [PDF][Slides(pptx)]
Workload Characterization and Performance Implications of Large-Scale Blog Servers
Myeongjae Jeon, Youngjae Kim, Jaeho Hwang, Joonwon Lee, Euiseong Seo
ACM Transactions on the Web (TWEB), Nov. 2012 [PDF]
Energy Reduction in Consolidated Servers Through Memory-Aware Virtual Machine Scheduling
Jae-Wan Jang, Myeongjae Jeon, Hyo-Sil Kim, Heeseung Jo, Jin-Soo Kim, Seungryoul Maeng
IEEE Transactions on Computers (TC), Apr. 2011 [PDF]
Replicated Abstract Data Types: Building Blocks for Collaborative Applications
Hyun-Gul Roh, Myeongjae Jeon, Jinsoo Kim, Joonwon Lee
Journal of Parallel and Distributed Computing (JPDC), Mar. 2011 [PDF]
Measurement, Modeling, and Analysis of a Large-scale Blog Server Workload
Myeongjae Jeon, Jaeho Hwang, Youngjae Kim, Jae-wan Jang, Joonwon Lee, Euiseong Seo
IEEE SocialCom SCA, Aug. 2010 [PDF]
Log' version vector: Logging version vectors concisely in dynamic replication
Hyun-Gul Roh, Myeongjae Jeon, Euiseong Seo, Jinsoo Kim, Joonwon Lee
Elsevier Information Processing Letters (IPL), May. 2010 [PDF]
Guest-Aware Priority-based Virtual Machine Scheduling for Highly Consolidated Server
Dongsung Kim, Hwanju Kim, Myeongjae Jeon, Euiseong Seo, Joonwon Lee
Euro-Par, Aug. 2008 [PDF]
Domain Level Page Sharing in Xen Virtual Machine Systems
Myeongjae Jeon, Euiseong Seo, Junghyun Kim, Joonwon Lee
APPT, Nov. 2007 [PDF]