SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning

2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)（2021）

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摘要

Deep Reinforcement Learning (DRL) is being increasingly applied to the problem of resource allocation for emerging System-on-Chip (SoC) applications, and has shown remarkable promises. In this paper, we introduce SoCRATES (SoC Resource AdapTivE Scheduler), an extremely efficient DRL-based SoC scheduler which maps a wide range of hierarchical jobs to heterogeneous resources within SoC using the Ecl...

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关键词

Scalability,Stochastic processes,Reinforcement learning,Transforms,Minimization,Energy efficiency,System-on-chip

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