Alok Kamatar

According to our database, Alok Kamatar authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS.

Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster

CoRR, 2024

Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis.

André Bauer, Timo Dittus, Martin Straesser, Alok Kamatar, Matt Baughman, Lukas Beierlieb, Marius Hadry, Daniel Grillmeyer, Yannik Lubas, Samuel Kounev, Ian T. Foster, Kyle Chard

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing.

Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Enhancing Energy Efficiency with Multi-Site Scheduling Strategies.

Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions.

André Bauer, Maxime Gonthier, Haochen Pan, Ryan Chard, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard

Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023

nelli: a lightweight frontend for MLIR.

Maksim Levental, Alok Kamatar, Ryan Chard, Nicolas Vasilache, Kyle Chard, Ian T. Foster

CoRR, 2023

Lazy Python Dependency Management in Large-Scale Systems.

Alok Kamatar, Mansi Sakarvadia, Valérie Hayot-Sasson, Kyle Chard, Ian T. Foster

Proceedings of the 19th IEEE International Conference on e-Science, 2023

Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.

Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

2022

Submission-Aware Reviewer Profiling for Reviewer Recommender System.

Omer Anjum, Alok Kamatar, Toby Liang, Jinjun Xiong, Wen-Mei Hwu

CoRR, 2022