Memory cocktail therapy: a general learning-based framework to optimize dynamic tradeoffs in NVMs

Zhaoxia Deng, Lunkai Zhang, Nikita Mishra, Henry Hoffmann, Frederic T. Chong. Memory cocktail therapy: a general learning-based framework to optimize dynamic tradeoffs in NVMs. In Hillery C. Hunter, Jaime Moreno, Joel S. Emer, Daniel Sánchez 0003, editors, Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2017, Cambridge, MA, USA, October 14-18, 2017. pages 232-244, ACM, 2017. [doi]

@inproceedings{DengZMHC17,
  title = {Memory cocktail therapy: a general learning-based framework to optimize dynamic tradeoffs in NVMs},
  author = {Zhaoxia Deng and Lunkai Zhang and Nikita Mishra and Henry Hoffmann and Frederic T. Chong},
  year = {2017},
  doi = {10.1145/3123939.3124548},
  url = {http://doi.acm.org/10.1145/3123939.3124548},
  researchr = {https://researchr.org/publication/DengZMHC17},
  cites = {0},
  citedby = {0},
  pages = {232-244},
  booktitle = {Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2017, Cambridge, MA, USA, October 14-18, 2017},
  editor = {Hillery C. Hunter and Jaime Moreno and Joel S. Emer and Daniel Sánchez 0003},
  publisher = {ACM},
  isbn = {978-1-4503-4952-9},
}