Query processing on smart SSDs: opportunities and challenges. - Jaeyoung Do; Yang-Suk Kee; Jignesh M. Patel; Chanik Park; Kwanghyun Park 001; David J. DeWitt (SIGMOD Conference, 2013)

Query Processing on Smart SSDs. - Kwanghyun Park 001; Yang-Suk Kee; Jignesh M. Patel; Jaeyoung Do; Chanik Park; David J. DeWitt (IEEE Data Eng. Bull., 2014)

Aggressive buffer pool warm-up after restart in SQL Server. - Kwanghyun Park 001; Jaeyoung Do; Nikhil Teletia; Jignesh M. Patel (ICDE Workshops, 2016)

Optimization of Imperative Programs in a Relational Database. - Karthik Ramachandra 002; Kwanghyun Park 001; K. Venkatesh Emani; Alan Halverson; César A. Galindo-Legaria; Conor Cunningham (CoRR, 2017)

Froid: Optimization of Imperative Programs in a Relational Database. - Karthik Ramachandra 002; Kwanghyun Park 001; K. Venkatesh Emani; Alan Halverson; César A. Galindo-Legaria; Conor Cunningham (Proc. VLDB Endow., 2017)

Exploiting Intel Optane SSD for Microsoft SQL Server. - Kan Wu; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau; Rathijit Sen; Kwanghyun Park 001 (DaMoN, 2019)

Optimizing Databases by Learning Hidden Parameters of Solid State Drives. - Aarati Kakaraparthy; Jignesh M. Patel; Kwanghyun Park 001; Brian Kroth (Proc. VLDB Endow., 2019)

BlackMagic: Automatic Inlining of Scalar UDFs into SQL Queries with Froid. - Karthik Ramachandra 002; Kwanghyun Park 001 (Proc. VLDB Endow., 2019)

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 001; et al. (CIDR, 2020)

Extending Relational Query Processing with ML Inference. - Konstantinos Karanasos; Matteo Interlandi; Fotis Psallidas; Rathijit Sen; Kwanghyun Park 001; Ivan Popivanov; Doris Xin; Supun Nakandala; Subru Krishnan; Markus Weimer; Yuan Yu; Raghu Ramakrishnan 001; et al. (CIDR, 2020)

Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS. - Yinjun Wu; Kwanghyun Park 001; Rathijit Sen; Brian Kroth; Jaeyoung Do (DaMoN, 2020)

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 001; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau (FAST, 2021)

FPGA for Aggregate Processing: The Good, The Bad, and The Ugly. - Zubeyr F. Eryilmaz; Aarati Kakaraparthy; Jignesh M. Patel; Rathijit Sen; Kwanghyun Park 001 (ICDE, 2021)

Hardware Acceleration for DBMS Machine Learning Scoring: Is It Worth the Overheads? - Zahra Azad; Rathijit Sen; Kwanghyun Park 001; Ajay Joshi (ISPASS, 2021)

NyxCache: Flexible and Efficient Multi-tenant Persistent Memory Caching. - Kan Wu; Kaiwei Tu; Yuvraj Patel; Rathijit Sen; Kwanghyun Park 001; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau (FAST, 2022)

Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics. - Ji-Hoon Kim 004; Seunghee Han; Kwanghyun Park 001; Soo-Young Ji; Joo-Young Kim 001 (HCS, 2022)

End-to-end Optimization of Machine Learning Prediction Queries. - Kwanghyun Park 001; Karla Saur; Dalitso Banda; Rathijit Sen; Matteo Interlandi; Konstantinos Karanasos (SIGMOD Conference, 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 001 (CoRR, 2022)

Query Processing on Tensor Computation Runtimes. - Dong He 002; Supun Chathuranga Nakandala; Dalitso Banda; Rathijit Sen; Karla Saur; Kwanghyun Park 001; 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. - Aarati Kakaraparthy; Jignesh M. Patel; Brian Kroth; Kwanghyun Park 001 (Proc. VLDB Endow., 2022)

Optimizing Data Pipelines for Machine Learning in Feature Stores. - Rui Liu; Kwanghyun Park 001; Fotis Psallidas; Xiaoyong Zhu; Jinghui Mo; Rathijit Sen; Matteo Interlandi; Konstantinos Karanasos; Yuanyuan Tian 001; Jesús Camacho-Rodríguez (Proc. VLDB Endow., 2023)

Pushing ML Predictions Into DBMSs. - Matteo Paganelli; Paolo Sottovia; Kwanghyun Park 001; Matteo Interlandi; Francesco Guerra 001 (IEEE Trans. Knowl. Data Eng., 2023)

Pushing ML Predictions into DBMSs (Extended Abstract). - Matteo Paganelli; Paolo Sottovia; Kwanghyun Park 001; Matteo Interlandi; Francesco Guerra 001 (ICDE, 2024)

Trinity: In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics. - Ji-Hoon Kim 004; Seunghee Han; Kwanghyun Park 001; Soo-Young Ji; Joo-Young Kim 001 (IEEE Access, 2024)

SPID-Join: A Skew-resistant Processing-in-DIMM Join Algorithm Exploiting the Bank- and Rank-level Parallelisms of DIMMs. - Suhyun Lee 002; Chaemin Lim; Jinwoo Choi 003; Heelim Choi; Chan Lee; Yongjun Park 001; Kwanghyun Park 001; Hanjun Kim 001; Youngsok Kim (Proc. ACM Manag. Data, 2024)