Event driven power consumption optimization control model of GPU clusters-Reference-Cited by-同舟云学术

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Event driven power consumption optimization control model of GPU clusters

Published:2019-01-05 Issue:3 Volume:22 Page:965-979
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Wang Haifeng^ORCID,Cao Yunpeng

Funder

The National Nature Science Foundation of China

The Nature Science Foundation of Shandong Province

Province Higher Educational Science and technology program

Shandong Province Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/content/pdf/10.1007/s10586-018-02886-x.pdf

Reference38 articles.

1. Mike, S., Jeremy, E., Craig, S., et al.: ECOG: a power-efficient GPU cluster architecture for scientific computing. Comput. Sci. Eng. 13(2), 83–87 (2011)

2. Abbas, K., Nirwan, A.: Toward low-cost workload distribution for integrated green data centers. IEEE Commun. Lett. 19(1), 26–29 (2015)

3. Ashwin, M.A., Lokendra, S., et al.: MPI-ACC: accelerator-aware MPI for scientific applications. IEEE Trans. Parallel Distrib. Syst. 27(5), 1401–1414 (2016)

4. Wang, H., Sreeram, P., Devendar, B., et al.: GPU-aware MPI on rdma-enabled cluster:design, implementation and evaluation. IEEE Trans. Parallel Distrib. Syst. 25(10), 2595–2605 (2014)

5. Dario, B., Audric, L., et al.: Modeling and evaluation of energy policies in green clouds. IEEE Trans. Parallel Distrib. Syst. 26(11), 3052–3065 (2015)

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