Dimitrije Jankov

According to our database, Dimitrije Jankov authored at least 13 papers between 2017 and 2025.

Collaborative distances:

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

2025

EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution.

Daniel Bourgeois, Zhimin Ding, Dimitrije Jankov, Jiehui Li, Sleem Mahmoud Abdelghafar, Yuxin Tang, Jiawen Yao, Xinyu Yao, Chris Jermaine

Proc. VLDB Endow., March, 2025

2023

Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning.

Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine

Proceedings of the International Conference on Machine Learning, 2023

2022

SecNDP: Secure Near-Data Processing with Untrusted Memory.

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

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021

Lachesis: Automated Partitioning for UDF-Centric Analytics.

Jia Zou, Amitabh Das, Pratik Barhate, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine

Proc. VLDB Endow., 2021

Tensor Relational Algebra for Distributed Machine Learning System Design.

Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine

Proc. VLDB Endow., 2021

Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees.

Dimitrije Jankov, Binhang Yuan, Shangyu Luo, Chris Jermaine

Proc. VLDB Endow., 2021

Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra.

Shangyu Luo, Dimitrije Jankov, Binhang Yuan, Chris Jermaine

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning.

Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao

SIGMOD Rec., 2020

Tensor Relational Algebra for Machine Learning System Design.

Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine

CoRR, 2020

Lachesis: Automated Generation of Persistent Partitionings for Big Data Applications.

Jia Zou, Pratik Barhate, Amitabh Das, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine

CoRR, 2020

Scalable linear algebra on a relational database system.

Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Dimitrije Jankov, Christopher M. Jermaine

Commun. ACM, 2020

2019

Declarative Recursive Computation on an RDBMS.

Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao

Proc. VLDB Endow., 2019

2017

Real-time High Performance Anomaly Detection over Data Streams: Grand Challenge.

Dimitrije Jankov, Sourav Sikdar, Rohan Mukherjee, Kia Teymourian, Chris Jermaine

Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017