Novel Learning-Based Task Schedulers for Domain-Specific SoCs

Novel Learning-Based Task Schedulers for Domain-Specific SoCs

abstract: This Master’s thesis includes the design, integration on-chip, and evaluation of a set of imitation learning (IL)-based scheduling policies: deep neural network (DNN)and decision tree (DT). We first developed IL-based scheduling policies for heterogeneous systems-on-chips (SoCs). Then, we...

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Bibliographic Details
Other Authors: Holt, Conrad Mestres (Author)
Format: Dissertation
Language:English
Published: 2020
Subjects:
Computer engineering
Electrical engineering
decision trees
deep neural networks
domain-specific systems-on-chip (DSSoC)
imitation learning
scheduling
Online Access:http://hdl.handle.net/2286/R.I.62834

Internet

http://hdl.handle.net/2286/R.I.62834

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