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

Prashanthi, K and Khochare, A and Kesanapalli, SA and Bhope, R and Simmhan, Y (2022) Don't Miss the Train: A Case for Systems Research into Training on the Edge. In: Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022 . pp. 985-986.

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Official URL: https://doi.org/10.1109/IPDPSW55747.2022.00157

Abstract

The rapid growth of Internet of Things (IoT) and au-tonomous systems has led to the deployment of edge devices close to the sensing data source for low-latency computation. © 2022 IEEE.

Item Type: Journal Article
Publication: Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to the IEEE.
Keywords: Graphics processing unit, Accelerated edge device; Data-source; DNN training; Low latency; Rapid growth; Sensing data; System optimizations; Systems research, Internet of things
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 06 Sep 2022 07:09
Last Modified: 06 Sep 2022 07:09
URI: https://eprints.iisc.ac.in/id/eprint/76484

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