Balancing efficiency and fairness in heterogeneous GPU clusters for deep learning-Reference-Cited by-同舟云学术

Balancing efficiency and fairness in heterogeneous GPU clusters for deep learning

Published:2020-04-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Fifteenth European Conference on Computer Systems
language:
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Author:

Chaudhary Shubham¹,Ramjee Ramachandran¹,Sivathanu Muthian¹,Kwatra Nipun¹,Viswanatha Srinidhi¹

Affiliation:

1. Microsoft Research India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3342195.3387555

Reference44 articles.

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3. Checkpoint/Restore in User Space. https://criu.org/Main_Page. Checkpoint/Restore in User Space. https://criu.org/Main_Page.

4. Fair scheduler in hadoop. https://hadoop.apache.org/docs/r2.7.4/hadoop-yarn/hadoop-yarn-site/FairScheduler.html. Fair scheduler in hadoop. https://hadoop.apache.org/docs/r2.7.4/hadoop-yarn/hadoop-yarn-site/FairScheduler.html.

5. gRPC A high-performance open-source universal RPC framework. https://grpc.io. gRPC A high-performance open-source universal RPC framework. https://grpc.io.

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