| Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models P S.K, SA Kesanapalli, Y Simmhan Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (3 …, 2022 | 15 | 2022 |
| Don't Miss the Train: A Case for Systems Research into Training on the Edge P S.K, A Khochare, SA Kesanapalli, R Bhope, Y Simmhan 2022 IEEE International Parallel and Distributed Processing Symposium …, 2022 | 3 | 2022 |
| Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators SK Prashanthi, V Hegde, K Patchava, A Das, Y Simmhan 2023 IEEE 30th International Conference on High Performance Computing, Data …, 2023 | | 2023 |
| Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators V Hegde, K Patchava, A Das, Y Simmhan arXiv preprint arXiv:2312.07220, 2023 | | 2023 |
| Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models P SK, SA Kesanapalli, Y Simmhan Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on …, 2023 | | 2023 |
| Towards Efficient Scheduling of Concurrent DNN Training and Inferencing on Accelerated Edges SK Prashanthi, V Hegde, Y Simmhan 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet …, 2023 | | 2023 |
| Design and analysis of a minimally invasive and ECG controlled Ventricular Assistive Device PP Sharma, K Prashanthi, V Chandrasekhar, K Nagaraja, V Vahiyal, ... 2019 32nd International Conference on VLSI Design and 2019 18th …, 2019 | | 2019 |
| Development of a Minimally Invasive Ventricular Assistive Device P Sharma, K Prashanthi, N Krishna, V Vikas, M Rao 2018 IEEE SENSORS, 1-4, 2018 | | 2018 |
| Characterizing the Performance of Deep Learning Workloads on Accelerated Edge Computing Devices P SK, SA Kesanapalli, A Khochare, Y Simmhan | | |
