Biblio

Export 5 results:
Filters: Author is Zhenhua Han  [Clear All Filters]
2023
Cui W, Han Z, Ouyang L, Wang Y, Zheng N, Ma L, Yang Y, Yang F, Xue J, Qiu L et al..  2023.  Optimizing Dynamic Neural Networks with Brainstorm. 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 23). :797--815.
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.
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.
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.
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.