Prashanthi S. K

According to our database, Prashanthi S. K authored at least 7 papers between 2022 and 2025.

Collaborative distances:

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

2025

Fulcrum: Optimizing Concurrent DNN Training and Inferencing on Edge Accelerators.

Prashanthi S. K, Saisamarth Taluri, Pranav Gupta, Amartya Ranjan Saikia, Kunal Kumar Sahoo, Atharva Vinay Joshi, Lakshya Karwa, Kedar Dhule, Yogesh Simmhan

CoRR, September, 2025

Pagoda: An Energy and Time Roofline Study for DNN Workloads on Edge Accelerators.

Prashanthi S. K, Kunal Kumar Sahoo, Amartya Ranjan Saikia, Pranav Gupta, Atharva Vinay Joshi, Priyanshu Pansari, Yogesh Simmhan

CoRR, September, 2025

2024

PowerTrain: Fast, generalizable time and power prediction models to optimize DNN training on accelerated edges.

Prashanthi S. K, Saisamarth Taluri, Beautlin S, Lakshya Karwa, Yogesh Simmhan

Future Gener. Comput. Syst., 2024

2023

Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models.

Prashanthi S. K, Sai Anuroop Kesanapalli, Yogesh Simmhan

Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023

Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators.

Prashanthi S. K, Vinayaka Hegde, Keerthana Patchava, Ankita Das, Yogesh Simmhan

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Towards Efficient Scheduling of Concurrent DNN Training and Inferencing on Accelerated Edges.

Prashanthi S. K, Vinayaka Hegde, Yogesh Simmhan

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

Don't Miss the Train: A Case for Systems Research into Training on the Edge.

Prashanthi S. K, Aakash Khochare, Sai Anuroop Kesanapalli, Rahul Atul Bhope, Yogesh Simmhan

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022