Aishwarya Sarkar

According to our database, Aishwarya Sarkar authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

The Landscape and Challenges of HPC Research and LLMs.

Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari

CoRR, 2024

MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs.

Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Ali Jannesari

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

Accelerating Domain-aware Deep Learning Models with Distributed Training.

Aishwarya Sarkar, Chaoqun Lu, Ali Jannesari

CoRR, 2023

Domain-Aware Scalable Distributed Training for Geo-Spatiotemporal Data.

Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2021

Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data.

Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari

CoRR, 2021

2020

HydroDeep - A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis.

Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari

CoRR, 2020