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

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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]

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