Contention-Aware Mapping and Scheduling Optimization for NoC-Based MPSoCs (Student Abstract)

Yupeng Zhou, Rongjie Yan, Anyu Cai, Yige Yan, Minghao Yin

AAAI 2020 pp. 13995-13996

doi:10.1609/AAAI.V34I10.7270 /aaai/2020/zhou2020aaai-contention/

Abstract

We consider spacial and temporal aspects of communication to avoid contention in Network-on-Chip (NoC) architectures. A constraint model is constructed such that the design concerns can be evaluated, and an efficient evolutionary algorithm with various heuristics is proposed to search for better solutions. Experimentations from random benchmarks demonstrate the efficiency of our method in multi-objective optimization and the effectiveness of our techniques in avoiding network contention.

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Cite

Text

Zhou et al. "Contention-Aware Mapping and Scheduling Optimization for NoC-Based MPSoCs (Student Abstract)." AAAI Conference on Artificial Intelligence, 2020. doi:10.1609/AAAI.V34I10.7270

Markdown

[Zhou et al. "Contention-Aware Mapping and Scheduling Optimization for NoC-Based MPSoCs (Student Abstract)." AAAI Conference on Artificial Intelligence, 2020.](https://mlanthology.org/aaai/2020/zhou2020aaai-contention/) doi:10.1609/AAAI.V34I10.7270

BibTeX

@inproceedings{zhou2020aaai-contention,
  title     = {{Contention-Aware Mapping and Scheduling Optimization for NoC-Based MPSoCs (Student Abstract)}},
  author    = {Zhou, Yupeng and Yan, Rongjie and Cai, Anyu and Yan, Yige and Yin, Minghao},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2020},
  pages     = {13995-13996},
  doi       = {10.1609/AAAI.V34I10.7270},
  url       = {https://mlanthology.org/aaai/2020/zhou2020aaai-contention/}
}