Graduate Thesis Or Dissertation

 

Characterizing On-Chip Traffic Patterns in Throughput Processors: A Deep Learning Approach Public Deposited

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/05741z04p

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  • The machine learning and deep learning models have been very lightly explored in analyzing the behavior of On-Chip network traffic. These models have proven their potential in pattern recognition, classification etc... In this paper we analyze the spatial pattern that each workload exhibits in its life cycle during execution. We address the problems with current studies in analyzing workload behavior and provide a refined path with less variables to tackle while analyzing the behavior. We have identified the abstraction at which analyzing the traffic behavior will result in low loss of information and could still use image recognition like approach to solve the On-Chip traffic pattern characterizing problem.
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