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Please download and view the PDF file on the right. (The online version is being prepared.)
Basics
Name | Minguk Choi |
Label | Computer Science Scientist |
mgchoi@dankook.ac.kr |
Research interests
ML for System | |
Learned Index |
Systems for ML | |
Scheduler for ML Cluster |
Education
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Mar 2023 - present South Korea
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Mar 2017 - Feb 2023 South Korea
Publications
- International Conference
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SIGMOD 2024 Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-Offs
Minguk Choi, Seehwan Yoo, Jongmoo Choi
- International Journal
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Electronics 2023 An Empirical Study of Segmented Linear Regression Search in LevelDB
Ramadhan Agung Rahmat, Minguk Choi, Yoojin Chung, and Jongmoo Choi
- Domestic (Korea) Conference
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KCC 2024 Analysis of Updatable Learned Indexes with Index Size Perspective
Nakyeong Kim and Minguk Choi and Suhwan Shin and Seehwan Yoo, and Jongmoo Choi
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KCC 2024 Breakdown Internal Operations in Updatable Learned Index
Suhwan Shin and Minguk Choi and Nakyeong Kim and Seehwan Yoo, and Jongmoo Choi
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KCC 2024 Accelerating RMI Training with SIMD
Boseung Kim and Minguk Choi and Yeojin Oh and YONGJIE ZHU and Seehwan Yoo, and Jongmoo Choi
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KCC 2024 Performance Analysis of Batch Prediction Using SIMD in RMI
Yongjie Zhu and Minguk Choi and Yeojin Oh and Boseung Kim and Seehwan Yoo, and Jongmoo Choi
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KCC 2024 Analysis of RMI Using CPU-Optimized Search Algorithms
Yeojin Oh and Minguk Choi and Boseung Kim and YONGJIE ZHU and Seehwan Yoo, and Jongmoo Choi
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KSC 2022 Bloom Filter Optimization in LevelDB based on Hit-Ratio
Hansu Kim, Minguk Choi, Seehwan Yoo, Jongmoo Choi
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KSC 2022 LevelDB Cache Structure and Performance Analysis
Subin Hong, Minguk Choi, Seehwan Yoo, Jongmoo Choi
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KSC 2022 Read performance analysis according to Compaction Trigger
Sangwoo Kang, Zhao Guangxun, Minguk Choi, Seehwan Yoo, Jongmoo Choi
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KSC 2022 Per Key-Value Checksum Analysis on RocksDB
Suhwan Shin, Seyeon Park, Minguk Choi, Seehwan Yoo, Jongmoo Choi
Projects
- Jul 2021 - Present
Key-Value DB for Unstructured Big Data (SW StarLab)
- Institute for Information & communication Technology Planning & evaluation (IITP)
- Mar 2022 - Present
Key-Value Store with Predictable Latency Support
- National Research Foundation of Korea (NRF)
- May 2023 - Present
Future Vehicle Security System
- National Research Foundation of Korea (NRF)
Languages
Korean | |
Native speaker |
English | |
TOEIC: 970/990, OPIc: IH |
Skills
Programming Languages | |
c/c++, python |
Developer Tools | |
gdb, uftrace, matplotlib, git, vscode |
Knowledge | |
Key-Value Store (Leveldb, Rocksdb) | |
Index Structure |
Personal interests
Fitness | |
Running | |
Weight lifting |
Cooking | |
Korean Cuisine | |
Japanese Cuisine | |
Grilling |
References
Jongmoo Choi | |
Professor, Department of Software, Dankook University |
Seehwan Yoo | |
Professor, Mobile Systems Engineering, Dankook University |