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Journal Articles
- 2023
[j6]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): 863-876 (2023)- 2013
- [j5]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): 43:1-43:25 (2013) - 2012
- [j4]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): 16:1-16:26 (2012) - 2011
- [j3]Hyun-Gul Roh, Myeongjae Jeon, Jinsoo Kim, Joonwon Lee:
Replicated abstract data types: Building blocks for collaborative applications. J. Parallel Distributed Comput. 71(3): 354-368 (2011) - [j2]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): 552-564 (2011) - 2010
- [j1]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): 614-620 (2010)
Conference and Workshop Papers
- 2024
- [c27]Won Wook Song
, Jeongyoon Eo, Taegeon Um, Myeongjae Jeon, Byung-Gon Chun:
Blaze: Holistic Caching for Iterative Data Processing. EuroSys 2024: 370-386 - [c26]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: 563-578 - 2023
- [c25]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: 83:1-83:15 - [c24]Won Wook Song, Taegeon Um, Sameh Elnikety, Myeongjae Jeon, Byung-Gon Chun:
Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks. USENIX ATC 2023: 301-314 - [c23]Sangjin Choi, Inhoe Koo, Jeongseob Ahn, Myeongjae Jeon, Youngjin Kwon:
EnvPipe: Performance-preserving DNN Training Framework for Saving Energy. USENIX ATC 2023: 851-864 - 2022
- [c22]Won Wook Song, Myeongjae Jeon, Byung-Gon Chun:
SWAN: WAN-aware stream processing on geographically-distributed clusters. APSys 2022: 78-84 - [c21]Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon:
CarM: hierarchical episodic memory for continual learning. DAC 2022: 1147-1152 - [c20]Atul Sandur, Chanho Park, Stavros Volos, Gul Agha, Myeongjae Jeon:
Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing. ICDE 2022: 1408-1422 - [c19]Taeyoon Kim, Suyeon Jeong, Jongseop Lee, Soobee Lee, Myeongjae Jeon:
Sibylla: To Retry or Not To Retry on Deep Learning Job Failure. USENIX ATC 2022: 263-270 - [c18]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 ATC 2022: 625-638 - [c17]Atul Sandur, Chanho Park, Stavros Volos, Gul Agha, Myeongjae Jeon:
Streaming Analytics with Adaptive Near-data Processing. WWW (Companion Volume) 2022: 563-566 - 2021
- [c16]Gangmuk Lim, Jeongseob Ahn, Wencong Xiao, Youngjin Kwon, Myeongjae Jeon:
Zico: Efficient GPU Memory Sharing for Concurrent DNN Training. USENIX ATC 2021: 161-175 - [c15]Junjie Qian, Taeyoon Kim, Myeongjae Jeon:
Reliability of Large Scale GPU Clusters for Deep Learning Workloads. WWW (Companion Volume) 2021: 179-181 - 2020
- [c14]Gangmuk Lim, Mohamed S. Hassan, Ze Jin, Stavros Volos, Myeongjae Jeon:
Approximate Quantiles for Datacenter Telemetry Monitoring. ICDE 2020: 1914-1917 - 2019
- [c13]Hongyu Miao, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, Felix Xiaozhu Lin:
StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory. ASPLOS 2019: 167-181 - [c12]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: 485-500 - [c11]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 ATC 2019: 947-960 - 2018
- [c10]Gennady Pekhimenko, Chuanxiong Guo, Myeongjae Jeon, Peng Huang, Lidong Zhou:
TerseCades: Efficient Data Compression in Stream Processing. USENIX ATC 2018: 307-320 - 2017
- [c9]Hongyu Miao, Heejin Park, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, Felix Xiaozhu Lin:
StreamBox: Modern Stream Processing on a Multicore Machine. USENIX ATC 2017: 617-629 - 2016
- [c8]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: 129-141 - [c7]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: 407-408 - [c6]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: 7:1-7:11 - 2014
- [c5]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: 253-262 - 2013
- [c4]Myeongjae Jeon, Yuxiong He, Sameh Elnikety, Alan L. Cox, Scott Rixner:
Adaptive parallelism for web search. EuroSys 2013: 155-168 - 2010
- [c3]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: 558-563 - 2008
- [c2]Dongsung Kim, Hwanju Kim, Myeongjae Jeon, Euiseong Seo, Joonwon Lee:
Guest-Aware Priority-Based Virtual Machine Scheduling for Highly Consolidated Server. Euro-Par 2008: 285-294 - 2007
- [c1]Myeongjae Jeon, Euiseong Seo, Junghyun Kim, Joonwon Lee:
Domain Level Page Sharing in Xen Virtual Machine Systems. APPT 2007: 590-599
Informal and Other Publications
- 2024
- [i10]Sungho Jeon, Xinyue Ma, Kwang In Kim, Myeongjae Jeon:
REP: Resource-Efficient Prompting for On-device Continual Learning. CoRR abs/2406.04772 (2024) - [i9]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 abs/2406.09827 (2024) - [i8]Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon, Sung Ju Hwang:
Training-Free Exponential Extension of Sliding Window Context with Cascading KV Cache. CoRR abs/2406.17808 (2024) - 2023
- [i7]Xinyue Ma, Suyeon Jeong, Minjia Zhang, Di Wang, Jonghyun Choi, Myeongjae Jeon:
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro. CoRR abs/2308.06053 (2023) - 2022
- [i6]Atul Sandur, Chanho Park, Stavros Volos, Gul Agha, Myeongjae Jeon:
Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing. CoRR abs/2202.06021 (2022) - 2021
- [i5]Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon:
Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning. CoRR abs/2110.07276 (2021) - 2019
- [i4]Hongyu Miao, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, Felix Xiaozhu Lin:
StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory. CoRR abs/1901.01328 (2019) - [i3]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 abs/1901.05758 (2019) - [i2]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 abs/1901.05803 (2019) - [i1]Gangmuk Lim, Mohamed S. Hassan, Ze Jin, Stavros Volos, Myeongjae Jeon:
Approximate Quantiles for Datacenter Telemetry Monitoring. CoRR abs/1906.00228 (2019)
Coauthor Index
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