Kwanghyun Park
Kwanghyun Park
Yonsei University, ex-Microsoft Gray Systems Lab
Verified email at - Homepage
Cited by
Cited by
Query processing on smart ssds: Opportunities and challenges
J Do, YS Kee, JM Patel, C Park, K Park, DJ DeWitt
Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013
Rapid phosphoproteomic and transcriptomic changes in the rhizobia-legume symbiosis
CM Rose, M Venkateshwaran, JD Volkening, PA Grimsrud, J Maeda, ...
Molecular & Cellular Proteomics 11 (9), 724-744, 2012
Froid: Optimization of imperative programs in a relational database
K Ramachandra, K Park, KV Emani, A Halverson, C Galindo-Legaria, ...
Proceedings of the VLDB Endowment 11 (4), 432-444, 2017
Extending relational query processing with ML inference
K Karanasos, M Interlandi, D Xin, F Psallidas, R Sen, K Park, I Popivanov, ...
arXiv preprint arXiv:1911.00231, 2019
The storage hierarchy is not a hierarchy: Optimizing caching on modern storage devices with orthus
K Wu, Z Guo, G Hu, K Tu, R Alagappan, R Sen, K Park, ...
19th USENIX Conference on File and Storage Technologies (FAST 21), 307-323, 2021
Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS
Y Wu, K Park, R Sen, B Kroth, J Do
Proceedings of the 16th International Workshop on Data Management on New …, 2020
End-to-end optimization of machine learning prediction queries
K Park, K Saur, D Banda, R Sen, M Interlandi, K Karanasos
Proceedings of the 2022 International Conference on Management of Data, 587-601, 2022
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
A Agrawal, R Chatterjee, C Curino, A Floratou, N Gowdal, M Interlandi, ...
arXiv preprint arXiv:1909.00084, 2019
Query processing on tensor computation runtimes
D He, S Nakandala, D Banda, R Sen, K Saur, K Park, C Curino, ...
arXiv preprint arXiv:2203.01877, 2022
Exploiting intel optane ssd for microsoft sql server
K Wu, A Arpaci-Dusseau, R Arpaci-Dusseau, R Sen, K Park
Proceedings of the 15th International Workshop on Data Management on New …, 2019
Query Processing on Smart SSDs.
K Park, YS Kee, JM Patel, J Do, C Park, DJ Dewitt
IEEE Data Eng. Bull. 37 (2), 19-26, 2014
Method for optimization of imperative code executing inside a relational database engine
KS Ramachandra, K Park, AD Halverson, CJ Cunningham, ...
US Patent 10,515,075, 2019
Blackmagic: Automatic inlining of scalar udfs into sql queries with froid
K Ramachandra, K Park
Proceedings of the VLDB Endowment 12 (12), 1810-1813, 2019
{NyxCache}: Flexible and efficient multi-tenant persistent memory caching
K Wu, K Tu, Y Patel, R Sen, K Park, A Arpaci-Dusseau, R Arpaci-Dusseau
20th USENIX Conference on File and Storage Technologies (FAST 22), 1-16, 2022
FPGA for aggregate processing: The good, the bad, and the ugly
ZF Eryilmaz, A Kakaraparthy, JM Patel, R Sen, K Park
2021 IEEE 37th International Conference on Data Engineering (ICDE), 1044-1055, 2021
Optimizing databases by learning hidden parameters of solid state drives
A Kakaraparthy, JM Patel, K Park, BP Kroth
Proceedings of the VLDB Endowment 13 (4), 519-532, 2019
Query Processing with Machine Learning
K Karanasos, M Interlandi, F Psallidas, R Sen, K Park, I Popivanov, ...
US Patent App. 16/990,506, 2021
Automatic recovery of application cache warmth
N Teletia, JY Do, K Park, JM Patel
US Patent 9,684,607, 2017
VIP hashing: adapting to skew in popularity of data on the fly
A Kakaraparthy, JM Patel, BP Kroth, K Park
Proceedings of the VLDB Endowment 15 (10), 1978-1990, 2022
Hardware acceleration for DBMS machine learning scoring: Is it worth the overheads?
Z Azad, R Sen, K Park, A Joshi
2021 IEEE International Symposium on Performance Analysis of Systems and …, 2021
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