Reinforcement learning based self-adaptive voltage-swing adjustment of 2.5D I/Os for many-core microprocessor and memory communication. Huang, H., Dinakarrao, S. M. P., Xu, D., Yu, H., & Hao, Z. In ICCAD, pages 224-229, 2014. IEEE.
Reinforcement learning based self-adaptive voltage-swing adjustment of 2.5D I/Os for many-core microprocessor and memory communication. [link]Link  Reinforcement learning based self-adaptive voltage-swing adjustment of 2.5D I/Os for many-core microprocessor and memory communication. [link]Paper  bibtex   
@inproceedings{conf/iccad/HantaoDXYH14,
  added-at = {2018-11-02T00:00:00.000+0100},
  author = {Huang, Hantao and Dinakarrao, Sai Manoj Pudukotai and Xu, Dongjun and Yu, Hao and Hao, Zhigang},
  biburl = {https://www.bibsonomy.org/bibtex/2fd87d18cd7ca79a47f3fb3ff56fd640b/dblp},
  booktitle = {ICCAD},
  crossref = {conf/iccad/2014},
  editor = {Chang, Yao-Wen},
  ee = {http://dl.acm.org/citation.cfm?id=2691411},
  interhash = {da5a5aac5ce883f088700aafc3c99035},
  intrahash = {fd87d18cd7ca79a47f3fb3ff56fd640b},
  isbn = {978-1-4799-6277-8},
  keywords = {dblp},
  pages = {224-229},
  publisher = {IEEE},
  timestamp = {2019-10-17T22:45:06.000+0200},
  title = {Reinforcement learning based self-adaptive voltage-swing adjustment of 2.5D I/Os for many-core microprocessor and memory communication.},
  url = {http://dblp.uni-trier.de/db/conf/iccad/iccad2014.html#HantaoDXYH14},
  year = 2014
}

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