Parallel Machine Scheduling to Minimize Energy Consumption

Antoniadis, Antonios; Garg, Naveen; Kumar, Gunjan; Kumar, Nikhil

doi:10.5555/3381089.3381257

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Parallel Machine Scheduling to Minimize Energy Consumption

Antoniadis, A., Garg, N., Kumar, G., & Kumar, N. (2020). Parallel Machine Scheduling to Minimize Energy Consumption. In S. Chawla (Ed.), Proceedings of the Thirty-First ACM-SIAM Symposium on Discrete Algorithms (pp. 2758-2769). Philadelphia, PA: SIAM. doi:10.5555/3381089.3381257.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-F26A-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-F26B-1

Genre: Conference Paper

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Creators:
Antoniadis, Antonios¹, Author
Garg, Naveen², Author
Kumar, Gunjan², Author
Kumar, Nikhil², Author

Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Published Online: 2020

Publication Status: Published online

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: -

Identifiers: BibTex Citekey: Antoniadis_SODA20
DOI: 10.5555/3381089.3381257

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Title: 31st Annual ACM-SIAM Symposium on Discrete Algorithms

Place of Event: Salt Lake City, UT, USA

Start-/End Date: 2020-01-05 - 2020-01-08

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Title: Proceedings of the Thirty-First ACM-SIAM Symposium on Discrete Algorithms

Abbreviation : SODA 2020

Source Genre: Proceedings

Creator(s):
Chawla, Shuchi¹, Editor

Affiliations:
1 External Organizations, ou_persistent22

Publ. Info: Philadelphia, PA : SIAM

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2758 - 2769 Identifier: ISBN: 978-1-61197-599-4