Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. - Prashanthi S. K; Sai Anuroop Kesanapalli; Yogesh Simmhan (Proc. ACM Meas. Anal. Comput. Syst., 2021)

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 (IPDPS Workshops, 2022)

Towards Efficient Scheduling of Concurrent DNN Training and Inferencing on Accelerated Edges. - Prashanthi S. K; Vinayaka Hegde; Yogesh Simmhan (CCGridW, 2023)

Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators. - Prashanthi S. K; Vinayaka Hegde; Keerthana Patchava; Ankita Das; Yogesh Simmhan (HiPC, 2023)

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)