Arnab Phani

According to our database, Arnab Phani authored at least 7 papers between 2019 and 2025.

Collaborative distances:

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

2025

MEMPHIS: Holistic Lineage-based Reuse and Memory Management for Multi-backend ML Systems.

Arnab Phani, Matthias Boehm

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

2022

UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads.

Arnab Phani, Lukas Erlbacher, Matthias Boehm

Proc. VLDB Endow., 2022

Federated Data Preparation, Learning, and Debugging in Apache SystemDS.

Sebastian Baunsgaard, Matthias Boehm, Kevin Innerebner, Mito Kehayov, Florian Lackner, Olga Ovcharenko, Arnab Phani, Tobias Rieger, David Weissteiner, Sebastian Benjamin Wrede

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems.

Arnab Phani, Benjamin Rath, Matthias Boehm

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

2020

SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle.

Matthias Boehm, Iulian Antonov, Sebastian Baunsgaard, Mark Dokter, Robert Ginthör, Kevin Innerebner, Florijan Klezin, Stefanie N. Lindstaedt, Arnab Phani, Benjamin Rath, Berthold Reinwald, Shafaq Siddiqui, Sebastian Benjamin Wrede

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle.

Matthias Boehm, Iulian Antonov, Mark Dokter, Robert Ginthör, Kevin Innerebner, Florijan Klezin, Stefanie N. Lindstaedt, Arnab Phani, Benjamin Rath

CoRR, 2019

RepliSmart: A Smart Replication framework for optimal query throughput in read-heavy environments.

R. K. N. Sai Krishna, Chandrasekhar Tekur, Arnab Phani

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019