What is it about?
Machine learning enabled systems can learn from past experiences and can take decisions within an instant to configure the systems with required communication capacities, which helps to achieve energy-efficient and high-performance systems.
Featured Image
Why is it important?
This article proposes a general framework to adopt machine learning for on-chip networks design and optimization in multi/many-core systems, and implemented neural networks based solution for decision making in real systems.
Perspectives
This article provides the directions on how to apply machine learning for on-chip networks design/optimization and also provides the direction on the problems to be solved in on-chip networks domain.
Md Farhadur Reza
Eastern Illinois University
Read the Original
This page is a summary of: Machine learning for design and optimization challenges in multi/many-core network-on-chip, October 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3477231.3490427.
You can read the full text:
Contributors
The following have contributed to this page
