Abstract: The rapidly increasing transistor density enables the evolution of many-core on-chip systems. Networks-on-Chips (NoCs) are the preferred ...
A machine learning enabled long-term performance evaluation framework for NoCs. Jie Hou. Chair of Embedded Systems. University of Stuttgart. Stuttgart, Germany.
Machine learning involves data-driven methods to analyze trends, find relationships, and develop models to predict things based on datasets [24,25].
Bibliographic details on A Machine Learning Enabled Long-Term Performance Evaluation Framework for NoCs.
This work proposes a machine learning-based framework that evaluates NoC performance quickly and uses the linear regression method to predict different ...
This work proposes a machine learning-based framework that evaluates NoC performance quickly. The proposed framework uses the linear regression method to ...
A systematic machine-learning framework that uses the kernel-based support vector regression method to predict the channel average waiting time and the ...
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Jun 30, 2023 · We propose and implement a NoC design and optimization solution enabled by neural networks, using the generalized machine learning framework.
A Machine Learning Enabled Long-Term Performance Evaluation Framework for NoCs. In Proceedings of the 2019 IEEE 13th International Symposium on Embedded ...
2013. A machine learning enabled long-term performance evaluation framework for NoCs. J Hou, Q Han, M Radetzki. 2019 IEEE 13th International Symposium on ...