Myeongjae Jeon

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 33

Top Topics

Episodic Memory

Top Venues

USENIX Annual Technical Conference

Publications

Won Wook Song, Jeongyoon Eo, Taegeon Um, Myeongjae Jeon, Byung-Gon Chun
Blaze: Holistic Caching for Iterative Data Processing. EuroSys (2024)
Taegeon Um, Byungsoo Oh, Minyoung Kang, Woo-Yeon Lee, Goeun Kim, Dongseob Kim, Youngtaek Kim, Mohd Muzzammil, Myeongjae Jeon
Metis: Fast Automatic Distributed Training on Heterogeneous GPUs. USENIX ATC (2024)
Heejun Lee, Geon Park, Youngwan Lee, Jina Kim, Wonyoung Jeong, Myeongjae Jeon, Sung Ju Hwang
HiP Attention: Sparse Sub-Quadratic Attention with Hierarchical Attention Pruning. CoRR (2024)
Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon, Sung Ju Hwang
Training-Free Exponential Extension of Sliding Window Context with Cascading KV Cache. CoRR (2024)
Sungho Jeon, Xinyue Ma, Kwang In Kim, Myeongjae Jeon
REP: Resource-Efficient Prompting for On-device Continual Learning. CoRR (2024)
Won Wook Song, Taegeon Um, Sameh Elnikety, Myeongjae Jeon, Byung-Gon Chun
Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks. USENIX Annual Technical Conference (2023)
Xinyue Ma, Suyeon Jeong, Minjia Zhang, Di Wang, Jonghyun Choi, Myeongjae Jeon
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro. MobiCom (2023)
Sangjin Choi, Inhoe Koo, Jeongseob Ahn, Myeongjae Jeon, Youngjin Kwon
EnvPipe: Performance-preserving DNN Training Framework for Saving Energy. USENIX Annual Technical Conference (2023)
Xinyue Ma, Suyeon Jeong, Minjia Zhang, Di Wang, Jonghyun Choi, Myeongjae Jeon
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro. CoRR (2023)
Taeyoon Kim, Chanho Park, Mansur Mukimbekov, Heelim Hong, Minseok Kim, Ze Jin, Changdae Kim, Ji-Yong Shin, Myeongjae Jeon
FusionFlow: Accelerating Data Preparation for Machine Learning with Hybrid CPU-GPU Processing. Proc. VLDB Endow. 17 (4) (2023)
Sangjin Choi, Taeksoo Kim, Jinwoo Jeong, Rachata Ausavarungnirun, Myeongjae Jeon, Youngjin Kwon, Jeongseob Ahn
Memory Harvesting in Multi-GPU Systems with Hierarchical Unified Virtual Memory. USENIX Annual Technical Conference (2022)
Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon
CarM: hierarchical episodic memory for continual learning. DAC (2022)
Taeyoon Kim, Suyeon Jeong, Jongseop Lee, Soobee Lee, Myeongjae Jeon
Sibylla: To Retry or Not To Retry on Deep Learning Job Failure. USENIX Annual Technical Conference (2022)
Atul Sandur, ChanHo Park, Stavros Volos, Gul Agha, Myeongjae Jeon
Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing. CoRR (2022)
Atul Sandur, ChanHo Park, Stavros Volos, Gul Agha, Myeongjae Jeon
Streaming Analytics with Adaptive Near-data Processing. WWW (Companion Volume) (2022)
Won Wook Song, Myeongjae Jeon, Byung-Gon Chun
SWAN: WAN-aware stream processing on geographically-distributed clusters. APSys (2022)
Atul Sandur, ChanHo Park, Stavros Volos, Gul Agha, Myeongjae Jeon
Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing. ICDE (2022)
Junjie Qian, Taeyoon Kim, Myeongjae Jeon
Reliability of Large Scale GPU Clusters for Deep Learning Workloads. WWW (Companion Volume) (2021)
Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon
Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning. CoRR (2021)
Gangmuk Lim, Jeongseob Ahn, Wencong Xiao, Youngjin Kwon, Myeongjae Jeon
Zico: Efficient GPU Memory Sharing for Concurrent DNN Training. USENIX Annual Technical Conference (2021)
Gangmuk Lim, Mohamed S. Hassan, Ze Jin, Stavros Volos, Myeongjae Jeon
Approximate Quantiles for Datacenter Telemetry Monitoring. ICDE (2020)
Juncheng Gu, Mosharaf Chowdhury, Kang G. Shin, Yibo Zhu, Myeongjae Jeon, Junjie Qian, Hongqiang Harry Liu, Chuanxiong Guo
Tiresias: A GPU Cluster Manager for Distributed Deep Learning. NSDI (2019)
Gangmuk Lim, Mohamed S. Hassan, Ze Jin, Stavros Volos, Myeongjae Jeon
Approximate Quantiles for Datacenter Telemetry Monitoring. CoRR (2019)
Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads. CoRR (2019)
Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads. USENIX Annual Technical Conference (2019)
Hongyu Miao, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, Felix Xiaozhu Lin
StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory. CoRR (2019)
Jay H. Park, Sunghwan Kim, Jinwon Lee, Myeongjae Jeon, Sam H. Noh
Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement. CoRR (2019)
Hongyu Miao, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, Felix Xiaozhu Lin
StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory. ASPLOS (2019)
Gennady Pekhimenko, Chuanxiong Guo, Myeongjae Jeon, Peng Huang, Lidong Zhou
TerseCades: Efficient Data Compression in Stream Processing. USENIX Annual Technical Conference (2018)
Hongyu Miao, Heejin Park, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, Felix Xiaozhu Lin
StreamBox: Modern Stream Processing on a Multicore Machine. USENIX Annual Technical Conference (2017)
Myeongjae Jeon, Yuxiong He, Hwanju Kim, Sameh Elnikety, Scott Rixner, Alan L. Cox
TPC: Target-Driven Parallelism Combining Prediction and Correction to Reduce Tail Latency in Interactive Services. ASPLOS (2016)
Iyswarya Narayanan, Di Wang, Myeongjae Jeon, Bikash Sharma, Laura Caulfield, Anand Sivasubramaniam, Ben Cutler, Jie Liu, Badriddine M. Khessib, Kushagra Vaid
SSD Failures in Datacenters: What? When? and Why? SYSTOR (2016)
Iyswarya Narayanan, Di Wang, Myeongjae Jeon, Bikash Sharma, Laura Caulfield, Anand Sivasubramaniam, Ben Cutler, Jie Liu, Badriddine M. Khessib, Kushagra Vaid
SSD Failures in Datacenters: What, When and Why? SIGMETRICS (2016)
Myeongjae Jeon, Saehoon Kim, Seung-won Hwang, Yuxiong He, Sameh Elnikety, Alan L. Cox, Scott Rixner
Predictive parallelization: taming tail latencies in web search. SIGIR (2014)
Myeongjae Jeon, Yuxiong He, Sameh Elnikety, Alan L. Cox, Scott Rixner
Adaptive parallelism for web search. EuroSys (2013)
Myeongjae Jeon, Conglong Li, Alan L. Cox, Scott Rixner
Reducing DRAM row activations with eager read/write clustering. ACM Trans. Archit. Code Optim. 10 (4) (2013)
Myeongjae Jeon, Youngjae Kim, Jeaho Hwang, Joonwon Lee, Euiseong Seo
Workload Characterization and Performance Implications of Large-Scale Blog Servers. ACM Trans. Web 6 (4) (2012)
Jae-Wan Jang, Myeongjae Jeon, Hyo-Sil Kim, Heeseung Jo, Jin-Soo Kim, Seungryoul Maeng
Energy Reduction in Consolidated Servers through Memory-Aware Virtual Machine Scheduling. IEEE Trans. Computers 60 (4) (2011)
Hyun-Gul Roh, Myeongjae Jeon, Jinsoo Kim, Joonwon Lee
Replicated abstract data types: Building blocks for collaborative applications. J. Parallel Distributed Comput. 71 (3) (2011)
Hyun-Gul Roh, Myeongjae Jeon, Euiseong Seo, Jinsoo Kim, Joonwon Lee
Log' version vector: Logging version vectors concisely in dynamic replication. Inf. Process. Lett. 110 (14-15) (2010)
Myeongjae Jeon, Jeaho Hwang, Youngjae Kim, Jae-Wan Jang, Joonwon Lee, Euiseong Seo
Measurement, Modeling, and Analysis of a Large-scale Blog Sever Workload. SocialCom/PASSAT (2010)
Dongsung Kim, Hwanju Kim, Myeongjae Jeon, Euiseong Seo, Joonwon Lee
Guest-Aware Priority-Based Virtual Machine Scheduling for Highly Consolidated Server. Euro-Par (2008)
Myeongjae Jeon, Euiseong Seo, Junghyun Kim, Joonwon Lee
Domain Level Page Sharing in Xen Virtual Machine Systems. APPT (2007)