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Dimitrije Jankov
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2020 – today
- 2024
- [i6]Daniel Bourgeois, Zhimin Ding, Dimitrije Jankov, Jiehui Li, Sleem Mahmoud Abdelghafar, Yuxin Tang, Jiawen Yao, Xinyu Yao, Chris Jermaine:
EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution. CoRR abs/2410.02682 (2024) - 2023
- [c4]Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine:
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. ICML 2023: 33581-33598 - [i5]Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine:
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. CoRR abs/2306.00088 (2023) - 2022
- [c3]Wenjie Xiong, Liu Ke, Dimitrije Jankov, Michael Kounavis, Xiaochen Wang, Eric Northup, Jie Amy Yang, Bilge Acun, Carole-Jean Wu, Ping Tak Peter Tang, G. Edward Suh, Xuan Zhang, Hsien-Hsin S. Lee:
SecNDP: Secure Near-Data Processing with Untrusted Memory. HPCA 2022: 244-258 - 2021
- [j6]Dimitrije Jankov, Binhang Yuan, Shangyu Luo, Chris Jermaine:
Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees. Proc. VLDB Endow. 14(7): 1228-1240 (2021) - [j5]Jia Zou, Amitabh Das, Pratik Barhate, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine:
Lachesis: Automated Partitioning for UDF-Centric Analytics. Proc. VLDB Endow. 14(8): 1262-1275 (2021) - [j4]Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine:
Tensor Relational Algebra for Distributed Machine Learning System Design. Proc. VLDB Endow. 14(8): 1338-1350 (2021) - [c2]Shangyu Luo, Dimitrije Jankov, Binhang Yuan, Chris Jermaine:
Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra. SIGMOD Conference 2021: 1222-1234 - [i4]Wenjie Xiong, Liu Ke, Dimitrije Jankov, Michael Kounavis, Xiaochen Wang, Eric Northup, Jie Amy Yang, Bilge Acun, Carole-Jean Wu, Ping Tak Peter Tang, G. Edward Suh, Xuan Zhang, Hsien-Hsin S. Lee:
SecNDP: Secure Near-Data Processing with Untrusted Memory. IACR Cryptol. ePrint Arch. 2021: 1642 (2021) - 2020
- [j3]Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Dimitrije Jankov, Christopher M. Jermaine:
Scalable linear algebra on a relational database system. Commun. ACM 63(8): 93-101 (2020) - [j2]Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao:
Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning. SIGMOD Rec. 49(1): 43-50 (2020) - [i3]Jia Zou, Pratik Barhate, Amitabh Das, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine:
Lachesis: Automated Generation of Persistent Partitionings for Big Data Applications. CoRR abs/2006.16529 (2020) - [i2]Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine:
Tensor Relational Algebra for Machine Learning System Design. CoRR abs/2009.00524 (2020)
2010 – 2019
- 2019
- [j1]Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao:
Declarative Recursive Computation on an RDBMS. Proc. VLDB Endow. 12(7): 822-835 (2019) - [i1]Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao:
Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning. CoRR abs/1904.11121 (2019) - 2017
- [c1]Dimitrije Jankov, Sourav Sikdar, Rohan Mukherjee, Kia Teymourian, Chris Jermaine:
Real-time High Performance Anomaly Detection over Data Streams: Grand Challenge. DEBS 2017: 292-297
Coauthor Index
aka: Christopher M. Jermaine
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last updated on 2024-11-08 20:29 CET by the dblp team
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