Biblio

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Filters: Author is Minjia Zhang  [Clear All Filters]
2023
Thorpe J, Zhao P, Eyolfson J, Qiao Y, Jia Z, Zhang M, Netravali R, Xu GHarry.  2023.  Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs. 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23). :497--513.
2021
Ren J, Rajbhandari S, Aminabadi RYazdani, Ruwase O, Yang S, Zhang M, Li D, He Y.  2021.  ZeRO-Offload: Democratizing Billion-Scale Model Training. 2021 USENIX Annual Technical Conference (USENIX ATC 21). :551--564.
2019
Zhang M, Rajbandari S, Wang W, Zheng E, Ruwase O, Rasley J, Li J, Wang J, He Y.  2019.  Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft. 2019 USENIX Conference on Operational Machine Learning (OpML 19). :5--7.
2018
Zhang M, Rajbhandari S, Wang W, He Y.  2018.  DeepCPU: Serving RNN-based Deep Learning Models 10x Faster. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :951--965.