Biblio

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2022
Zhang W, Chen B, Han Z, Chen Q, Cheng P, Yang F, Shu R, Yang Y, Guo M.  2022.  PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training. 2022 USENIX Annual Technical Conference (USENIX ATC 22). :217--232.
Zhu H, Wu R, Diao Y, Ke S, Li H, Zhang C, Xue J, Ma L, Xia Y, Cui W et al..  2022.  ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22). :233--248.
Zheng N, Lin B, Zhang Q, Ma L, Yang Y, Yang F, Wang Y, Yang M, Zhou L.  2022.  SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute. 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22). :213--232.
2020
Zhao H, Han Z, Yang Z, Zhang Q, Yang F, Zhou L, Yang M, Lau FCM, Wang Y, Xiong Y et al..  2020.  HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees. 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20). :515--532.
Ma L, Xie Z, Yang Z, Xue J, Miao Y, Cui W, Hu W, Yang F, Zhang L, Zhou L.  2020.  Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks. 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20). :881--897.
Zhang Q, Han Z, Yang F, Zhang Y, Liu Z, Yang M, Zhou L.  2020.  Retiarii: A Deep Learning Exploratory-Training Framework. 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20). :919--936.
2019
Jeon M, Venkataraman S, Phanishayee A, Qian J, Xiao W, Yang F.  2019.  Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads. 2019 USENIX Annual Technical Conference (USENIX ATC 19). :947--960.
2018
Xiao W, Bhardwaj R, Ramjee R, Sivathanu M, Kwatra N, Han Z, Patel P, Peng X, Zhao H, Zhang Q et al..  2018.  Gandiva: Introspective Cluster Scheduling for Deep Learning. 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18). :595--610.