Siddhartha Sahu

According to our database, Siddhartha Sahu authored at least 9 papers between 2017 and 2024.

Collaborative distances:

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

2024

Optimizing Differential Computation for Large-Scale Graph Processing.

Siddhartha Sahu

PhD thesis, 2024

Optimizing Differential Computation for Large-Scale Graph Processing.

Siddhartha Sahu, Semih Salihoglu

Proceedings of the 7th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2024

2022

Optimizing Differentially-Maintained Recursive Queries on Dynamic Graphs.

Khaled Ammar, Siddhartha Sahu, Semih Salihoglu, M. Tamer Özsu

Proc. VLDB Endow., 2022

2021

Graphsurge: Graph Analytics on View Collections Using Differential Computation.

Siddhartha Sahu, Semih Salihoglu

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

2020

The ubiquity of large graphs and surprising challenges of graph processing: extended survey.

Siddhartha Sahu, Amine Mhedhbi, Semih Salihoglu, Jimmy Lin, M. Tamer Özsu

VLDB J., 2020

2019

Sift: resource-efficient consensus with RDMA.

Mikhail Kazhamiaka, Babar Naveed Memon, Chathura Kankanamge, Siddhartha Sahu, Sajjad Rizvi, Bernard Wong, Khuzaima Daudjee

Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies, 2019

2017

The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing.

Siddhartha Sahu, Amine Mhedhbi, Semih Salihoglu, Jimmy Lin, M. Tamer Özsu

Proc. VLDB Endow., 2017

The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing: A User Survey.

Siddhartha Sahu, Amine Mhedhbi, Semih Salihoglu, Jimmy Lin, M. Tamer Özsu

CoRR, 2017

Graphflow: An Active Graph Database.

Chathura Kankanamge, Siddhartha Sahu, Amine Mhedhbi, Jeremy Chen, Semih Salihoglu

Proceedings of the 2017 ACM International Conference on Management of Data, 2017