Kwanghyun Park

According to our database, Kwanghyun Park authored at least 23 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Trinity: In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics.

Ji-Hoon Kim, Seunghee Han, Kwanghyun Park, Soo-Young Ji, Joo-Young Kim

IEEE Access, 2024

2023

Pushing ML Predictions Into DBMSs.

Matteo Paganelli, Paolo Sottovia, Kwanghyun Park, Matteo Interlandi, Francesco Guerra

IEEE Trans. Knowl. Data Eng., October, 2023

Optimizing Data Pipelines for Machine Learning in Feature Stores.

Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez

Proc. VLDB Endow., 2023

2022

VIP Hashing - Adapting to Skew in Popularity of Data on the Fly.

Aarati Kakaraparthy, Jignesh M. Patel, Brian Kroth, Kwanghyun Park

Proc. VLDB Endow., 2022

Query Processing on Tensor Computation Runtimes.

Dong He, Supun Chathuranga Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi

Proc. VLDB Endow., 2022

VIP Hashing - Adapting to Skew in Popularity of Data on the Fly (extended version).

Aarati Kakaraparthy, Jignesh M. Patel, Brian P. Kroth, Kwanghyun Park

CoRR, 2022

End-to-end Optimization of Machine Learning Prediction Queries.

Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics.

Ji-Hoon Kim, Seunghee Han, Kwanghyun Park, Soo-Young Ji, Joo-Young Kim

Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 2022

NyxCache: Flexible and Efficient Multi-tenant Persistent Memory Caching.

Kan Wu, Kaiwei Tu, Yuvraj Patel, Rathijit Sen, Kwanghyun Park, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau

Proceedings of the 20th USENIX Conference on File and Storage Technologies, 2022

2021

Hardware Acceleration for DBMS Machine Learning Scoring: Is It Worth the Overheads?

Zahra Azad, Rathijit Sen, Kwanghyun Park, Ajay Joshi

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

FPGA for Aggregate Processing: The Good, The Bad, and The Ugly.

Zubeyr F. Eryilmaz, Aarati Kakaraparthy, Jignesh M. Patel, Rathijit Sen, Kwanghyun Park

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

The Storage Hierarchy is Not a Hierarchy: Optimizing Caching on Modern Storage Devices with Orthus.

Kan Wu, Zhihan Guo, Guanzhou Hu, Kaiwei Tu, Ramnatthan Alagappan, Rathijit Sen, Kwanghyun Park, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau

Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021

2020

Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS.

Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do

Proceedings of the 16th International Workshop on Data Management on New Hardware, 2020

Extending Relational Query Processing with ML Inference.

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

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.

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

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

BlackMagic: Automatic Inlining of Scalar UDFs into SQL Queries with Froid.

Karthik Ramachandra, Kwanghyun Park

Proc. VLDB Endow., 2019

Optimizing Databases by Learning Hidden Parameters of Solid State Drives.

Aarati Kakaraparthy, Jignesh M. Patel, Kwanghyun Park, Brian Kroth

Proc. VLDB Endow., 2019

Exploiting Intel Optane SSD for Microsoft SQL Server.

Kan Wu, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Rathijit Sen, Kwanghyun Park

Proceedings of the 15th International Workshop on Data Management on New Hardware, 2019

2017

Froid: Optimization of Imperative Programs in a Relational Database.

Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, César A. Galindo-Legaria, Conor Cunningham

Proc. VLDB Endow., 2017

Optimization of Imperative Programs in a Relational Database.

Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, César A. Galindo-Legaria, Conor Cunningham

CoRR, 2017

2016

Aggressive buffer pool warm-up after restart in SQL Server.

Kwanghyun Park, Jaeyoung Do, Nikhil Teletia, Jignesh M. Patel

Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 2016

2014

Query Processing on Smart SSDs.

Kwanghyun Park, Yang-Suk Kee, Jignesh M. Patel, Jaeyoung Do, Chanik Park, David J. DeWitt

IEEE Data Eng. Bull., 2014

2013

Query processing on smart SSDs: opportunities and challenges.

Jaeyoung Do, Yang-Suk Kee, Jignesh M. Patel, Chanik Park, Kwanghyun Park, David J. DeWitt

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013