Prashanthi S. K

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Predictive Model

Probabilistic Inference

Learning Models

Top Venues

Future Gener. Comput. Syst.

IPDPS Workshops

Publications

Prashanthi S. K, Saisamarth Taluri, Beautlin S, Lakshya Karwa, Yogesh Simmhan
PowerTrain: Fast, Generalizable Time and Power Prediction Models to Optimize DNN Training on Accelerated Edges. CoRR (2024)
Prashanthi S. K, Saisamarth Taluri, Beautlin S, Lakshya Karwa, Yogesh Simmhan
PowerTrain: Fast, generalizable time and power prediction models to optimize DNN training on accelerated edges. Future Gener. Comput. Syst. 161 (2024)
Prashanthi S. K, Sai Anuroop Kesanapalli, Yogesh Simmhan
Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. SIGMETRICS (Abstracts) (2023)
Prashanthi S. K, Vinayaka Hegde, Yogesh Simmhan
Towards Efficient Scheduling of Concurrent DNN Training and Inferencing on Accelerated Edges. CCGridW (2023)
Prashanthi S. K, Vinayaka Hegde, Keerthana Patchava, Ankita Das, Yogesh Simmhan
Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators. CoRR (2023)
Prashanthi S. K, Vinayaka Hegde, Keerthana Patchava, Ankita Das, Yogesh Simmhan
Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators. HiPC (2023)
Prashanthi S. K, Aakash Khochare, Sai Anuroop Kesanapalli, Rahul Atul Bhope, Yogesh Simmhan
Don't Miss the Train: A Case for Systems Research into Training on the Edge. IPDPS Workshops (2022)
Prashanthi S. K, Sai Anuroop Kesanapalli, Yogesh Simmhan
Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. Proc. ACM Meas. Anal. Comput. Syst. 6 (3) (2021)