Kwanghyun Park

31 papers A* 2A 4B 1C 2Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization.
CoRR
Hyeonjun An, Sihyun Kim, Chaerim Lim, Hyunjoon Kim, Rathijit Sen, Sangmin Jung, Hyeonsoo Lee, Dongwook Kim, Takki Yu, Jinkyu Jeong, Youngsok Kim, Kwanghyun Park
2024 A* conf
Pushing ML Predictions into DBMSs (Extended Abstract).
ICDE
Matteo Paganelli, Paolo Sottovia, Kwanghyun Park, Matteo Interlandi, Francesco Guerra
2024 J jnl
SPID-Join: A Skew-resistant Processing-in-DIMM Join Algorithm Exploiting the Bank- and Rank-level Parallelisms of DIMMs.
Proc. ACM Manag. Data
Suhyun Lee, Chaemin Lim, Jinwoo Choi, Heelim Choi, Chan Lee, Yongjun Park, Kwanghyun Park, Hanjun Kim, Youngsok Kim
2024 J jnl
Trinity: In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics.
IEEE Access
Ji-Hoon Kim, Seunghee Han, Kwanghyun Park, Soo-Young Ji, Joo-Young Kim
2023 J jnl
Optimizing Data Pipelines for Machine Learning in Feature Stores.
Proc. VLDB Endow.
Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez
2023 J jnl
Pushing ML Predictions Into DBMSs.
IEEE Trans. Knowl. Data Eng.
Matteo Paganelli, Paolo Sottovia, Kwanghyun Park, Matteo Interlandi, Francesco Guerra
2022 — conf
End-to-end Optimization of Machine Learning Prediction Queries.
SIGMOD Conference
Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos
2022 J jnl
End-to-end Optimization of Machine Learning Prediction Queries.
CoRR
Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos
2022 A conf
NyxCache: Flexible and Efficient Multi-tenant Persistent Memory Caching.
FAST
Kan Wu, Kaiwei Tu, Yuvraj Patel, Rathijit Sen, Kwanghyun Park, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
2022 J jnl
Query Processing on Tensor Computation Runtimes.
CoRR
Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
2022 J jnl
Query Processing on Tensor Computation Runtimes.
Proc. VLDB Endow.
Dong He, Supun Chathuranga Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
2022 — conf
Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics.
HCS
Ji-Hoon Kim, Seunghee Han, Kwanghyun Park, Soo-Young Ji, Joo-Young Kim
2022 J jnl
VIP Hashing - Adapting to Skew in Popularity of Data on the Fly (extended version).
CoRR
Aarati Kakaraparthy, Jignesh M. Patel, Brian P. Kroth, Kwanghyun Park
2022 J jnl
VIP Hashing - Adapting to Skew in Popularity of Data on the Fly.
Proc. VLDB Endow.
Aarati Kakaraparthy, Jignesh M. Patel, Brian Kroth, Kwanghyun Park
2021 A* conf
FPGA for Aggregate Processing: The Good, The Bad, and The Ugly.
ICDE
Zubeyr F. Eryilmaz, Aarati Kakaraparthy, Jignesh M. Patel, Rathijit Sen, Kwanghyun Park
2021 B conf
Hardware Acceleration for DBMS Machine Learning Scoring: Is It Worth the Overheads?
ISPASS
Zahra Azad, Rathijit Sen, Kwanghyun Park, Ajay Joshi
2021 A conf
The Storage Hierarchy is Not a Hierarchy: Optimizing Caching on Modern Storage Devices with Orthus.
FAST
Kan Wu, Zhihan Guo, Guanzhou Hu, Kaiwei Tu, Ramnatthan Alagappan, Rathijit Sen, Kwanghyun Park, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
2020 A conf
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.
CIDR
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
2020 A conf
Extending Relational Query Processing with ML Inference.
CIDR
Konstantinos Karanasos, Matteo Interlandi, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Doris Xin, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino
2020 J jnl
Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS.
CoRR
Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do
2020 C conf
Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS.
DaMoN
Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do
2019 J jnl
BlackMagic: Automatic Inlining of Scalar UDFs into SQL Queries with Froid.
Proc. VLDB Endow.
Karthik Ramachandra, Kwanghyun Park
2019 J jnl
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML.
CoRR
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
2019 C conf
Exploiting Intel Optane SSD for Microsoft SQL Server.
DaMoN
Kan Wu, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Rathijit Sen, Kwanghyun Park
2019 J jnl
Extending Relational Query Processing with ML Inference.
CoRR
Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino
2019 J jnl
Optimizing Databases by Learning Hidden Parameters of Solid State Drives.
Proc. VLDB Endow.
Aarati Kakaraparthy, Jignesh M. Patel, Kwanghyun Park, Brian Kroth
2017 J jnl
Froid: Optimization of Imperative Programs in a Relational Database.
Proc. VLDB Endow.
Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, César A. Galindo-Legaria, Conor Cunningham
2017 J jnl
Optimization of Imperative Programs in a Relational Database.
CoRR
Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, César A. Galindo-Legaria, Conor Cunningham
2016 — conf
Aggressive buffer pool warm-up after restart in SQL Server.
ICDE Workshops
Kwanghyun Park, Jaeyoung Do, Nikhil Teletia, Jignesh M. Patel
2014 J jnl
Query Processing on Smart SSDs.
IEEE Data Eng. Bull.
Kwanghyun Park, Yang-Suk Kee, Jignesh M. Patel, Jaeyoung Do, Chanik Park, David J. DeWitt
2013 — conf
Query processing on smart SSDs: opportunities and challenges.
SIGMOD Conference
Jaeyoung Do, Yang-Suk Kee, Jignesh M. Patel, Chanik Park, Kwanghyun Park, David J. DeWitt