Aishwarya Sarkar

According to our database, Aishwarya Sarkar authored at least 13 papers between 2020 and 2026.

Collaborative distances:

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

2026

Fast MoE Inference via Predictive Prefetching and Expert Replication.

Ankit Jyothish, Ali Jannesari, Aishwarya Sarkar, Joseph Zuber

CoRR, May, 2026

NOMAD: Generating Embeddings for Massive Distributed Graphs.

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

CoRR, April, 2026

Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training.

Cunyang Wei, Siddharth Singh, Aishwarya Sarkar, Daniel Nichols, Tisha Patel, Aditya K. Ranjan, Sayan Ghosh, Ali Jannesari, Nathan R. Tallent, Abhinav Bhatele

CoRR, April, 2026

Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents.

Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Aman Chadha, Tanya G. Roosta, Ali Jannesari

Proceedings of the 40th ACM International Conference on Supercomputing, 2026

2025

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization.

Sadegh Jafari, Aishwarya Sarkar, Mohiuddin Bilwal, Ali Jannesari

CoRR, September, 2025

Enhanced Soups for Graph Neural Networks.

Joseph Zuber, Aishwarya Sarkar, Joseph Jennings, Ali Jannesari

Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction.

Aishwarya Sarkar, Autrin Hakimi, Xiaoqiong Chen, Hai Huang, Chaoqun Lu, Ibrahim Demir, Ali Jannesari

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

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