Rammer: Enabling Holistic Deep Learning Compiler ...

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This paper is included in the Proceedings of the 14th USENIX Symposium on Operating Systems Design and ImplementationNovember 4 6, 2020978-1-939133-19-9Open access to the Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation is sponsored by USENIXRammer: Enabling Holistic Deep Learning Compiler Optimizations with rTask sLingxiao Ma, Peking University and Microsoft Research; Zhiqiang Xie, ShanghaiTech University and Microsoft Research; Zhi Yang, Peking University; Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, and Lidong Zhou, Microsoft : Enabling Holistic Deep Learning Compiler Optimizations withrTasksLingxiao Ma Zhiqiang Xie Zhi Yang Jilong Xue Youshan Miao Wei Cui Wenxiang Hu Fan Yang Lintao Zhang Lidong Zho

RAMMER: Enabling Holistic Deep Learning Compiler Optimizations with rTasks Lingxiao Ma† Zhiqiang Xie‡ Zhi Yang† Jilong Xue Youshan Miao Wei Cui Wenxiang Hu Fan Yang Lintao Zhang Lidong Zhou †Peking University ‡ShanghaiTech University Microsoft Research Abstract Performing Deep Neural Network (DNN) computation on hardware accelerators efficiently is …

  Enabling