default search action
Kwanghyun Park 0001
Person information
- affiliation: Microsoft Gray Systems Lab (GSL), USA
Other persons with the same name
- Kwanghyun Park 0002 — Future Communication Technology Center, Korea Testing Laboratory, Ansan, Korea
- Kwanghyun Park 0003 — Kwangwoon University, Seoul, Korea
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j9]Ji-Hoon Kim
, Seunghee Han
Trinity: In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics. IEEE Access 12: 11945-11962 (2024) - [c13]Matteo Paganelli, Paolo Sottovia, Kwanghyun Park, Matteo Interlandi, Francesco Guerra:
Pushing ML Predictions into DBMSs (Extended Abstract). ICDE 2024: 5725-5726 - 2023
- [j8]Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez:
Optimizing Data Pipelines for Machine Learning in Feature Stores. Proc. VLDB Endow. 16(13): 4230-4239 (2023) - [j7]Matteo Paganelli
Pushing ML Predictions Into DBMSs. IEEE Trans. Knowl. Data Eng. 35(10): 10295-10308 (2023) - 2022
- [j6]Aarati Kakaraparthy, Jignesh M. Patel, Brian Kroth, Kwanghyun Park
VIP Hashing - Adapting to Skew in Popularity of Data on the Fly. Proc. VLDB Endow. 15(10): 1978-1990 (2022) - [j5]Dong He, Supun Chathuranga Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park
Query Processing on Tensor Computation Runtimes. Proc. VLDB Endow. 15(11): 2811-2825 (2022) - [c12]Kan Wu, Kaiwei Tu, Yuvraj Patel, Rathijit Sen, Kwanghyun Park, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau:
NyxCache: Flexible and Efficient Multi-tenant Persistent Memory Caching. FAST 2022: 1-16 - [c11]Ji-Hoon Kim, Seunghee Han, Kwanghyun Park
Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics. HCS 2022: 1-16 - [c10]Kwanghyun Park
End-to-end Optimization of Machine Learning Prediction Queries. SIGMOD Conference 2022: 587-601 - [i7]Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park
Query Processing on Tensor Computation Runtimes. CoRR abs/2203.01877 (2022) - [i6]Kwanghyun Park
End-to-end Optimization of Machine Learning Prediction Queries. CoRR abs/2206.00136 (2022) - [i5]Aarati Kakaraparthy, Jignesh M. Patel, Brian P. Kroth, Kwanghyun Park
VIP Hashing - Adapting to Skew in Popularity of Data on the Fly (extended version). CoRR abs/2206.12380 (2022) - 2021
- [c9]Kan Wu, Zhihan Guo, Guanzhou Hu, Kaiwei Tu, Ramnatthan Alagappan
The Storage Hierarchy is Not a Hierarchy: Optimizing Caching on Modern Storage Devices with Orthus. FAST 2021: 307-323 - [c8]Zubeyr F. Eryilmaz, Aarati Kakaraparthy, Jignesh M. Patel, Rathijit Sen, Kwanghyun Park
FPGA for Aggregate Processing: The Good, The Bad, and The Ugly. ICDE 2021: 1044-1055 - [c7]Zahra Azad, Rathijit Sen, Kwanghyun Park
Hardware Acceleration for DBMS Machine Learning Scoring: Is It Worth the Overheads? ISPASS 2021: 243-253 - 2020
- [c6]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:
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. CIDR 2020 - [c5]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:
Extending Relational Query Processing with ML Inference. CIDR 2020 - [c4]Yinjun Wu, Kwanghyun Park
Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS. DaMoN 2020: 14:1-14:3 - [i4]Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do:
Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS. CoRR abs/2005.07658 (2020)
2010 – 2019
- 2019
- [j4]Karthik Ramachandra, Kwanghyun Park
BlackMagic: Automatic Inlining of Scalar UDFs into SQL Queries with Froid. Proc. VLDB Endow. 12(12): 1810-1813 (2019) - [j3]Aarati Kakaraparthy, Jignesh M. Patel, Kwanghyun Park
Optimizing Databases by Learning Hidden Parameters of Solid State Drives. Proc. VLDB Endow. 13(4): 519-532 (2019) - [c3]Kan Wu, Andrea C. Arpaci-Dusseau
Exploiting Intel Optane SSD for Microsoft SQL Server. DaMoN 2019: 15:1-15:3 - [i3]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:
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. CoRR abs/1909.00084 (2019) - [i2]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:
Extending Relational Query Processing with ML Inference. CoRR abs/1911.00231 (2019) - 2017
- [j2]Karthik Ramachandra, Kwanghyun Park
Froid: Optimization of Imperative Programs in a Relational Database. Proc. VLDB Endow. 11(4): 432-444 (2017) - [i1]Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, César A. Galindo-Legaria, Conor Cunningham:
Optimization of Imperative Programs in a Relational Database. CoRR abs/1712.00498 (2017) - 2016
- [c2]Kwanghyun Park
Aggressive buffer pool warm-up after restart in SQL Server. ICDE Workshops 2016: 31-38 - 2014
- [j1]Kwanghyun Park, Yang-Suk Kee, Jignesh M. Patel, Jaeyoung Do, Chanik Park, David J. DeWitt:
Query Processing on Smart SSDs. IEEE Data Eng. Bull. 37(2): 19-26 (2014) - 2013
- [c1]Jaeyoung Do, Yang-Suk Kee, Jignesh M. Patel, Chanik Park, Kwanghyun Park
Query processing on smart SSDs: opportunities and challenges. SIGMOD Conference 2013: 1221-1230
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-04 01:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: