RESPECT: Reinforcement Learning based Edge Scheduling on Pipelined Coral Edge TPUs

Deep neural networks (DNNs) have substantial computational and memory requirements, and the compilation of its computational graphs has a great impact on the performance of resource-constrained (e.g., computation, I/O, and memory-bound) edge computing systems. While efficient execution of their comp...

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Bibliographic Details

Published in:	2023 60th ACM/IEEE Design Automation Conference (DAC) pp. 1 - 6
Main Authors:	Yin, Jiaqi, Li, Yingjie, Robinson, Daniel, Yu, Cunxi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 09.07.2023
Subjects:	Image edge detection Optimal scheduling Optimization methods Processor scheduling Reinforcement learning Runtime Training
Online Access:	Get full text
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