Dynamic Resource Allocation for Deep Learning Clusters with Separated Compute and Storage

Author:

Li Mingxia1,Han Zhenhua2,Zhang Chi1,Zhou Ruiting3,Liu Yuanchi1,Tan Haisheng1

Affiliation:

1. University of Science and Technology of China,CAS Key Lab of Wireless-Optical Communications,China

2. Microsoft Research Asia,China

3. Southeast University,Nanjing,China

Funder

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Reference31 articles.

1. {Heterogeneity-Aware} cluster scheduling policies for deep learning workloads;narayanan;14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20),2020

2. Gandiva: introspective cluster scheduling for deep learning;xiao;Operating Systems Design and Implementation,2018

3. Imagenet classification with deep convolutional neural networks;krizhevsky;Advances in neural information processing systems,2012

4. Quiver: An informed storage cache for deep learning;kumar;18th USENIX Conference on File and Storage Technologies (FAST 20),2020

5. Scheduling Placement-Sensitive BSP Jobs with Inaccurate Execution Time Estimation

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