A genetic algorithm-based method for optimizing the energy consumption and performance of multiprocessor systems-Reference-Cited by-同舟云学术

A genetic algorithm-based method for optimizing the energy consumption and performance of multiprocessor systems

Published:2017-08-29 Issue:10 Volume:22 Page:3271-3285
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Pillai Anju S.,Singh Kaumudi,Saravanan Vijayalakshmi,Anpalagan Alagan,Woungang Isaac,Barolli Leonard

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-017-2789-y/fulltext.html

Reference39 articles.

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3. Bonyadi MR, Moghaddam ME (2009) Bipartite genetic algorithm for multi-processor task scheduling. Int J Parallel Program 37(5):462–487

4. Bougeret M, Dutot P-F, Trystram D, Jansen K, Robenek C (2015) Improved approximation algorithms for scheduling parallel jobs on identical clusters. Theor Comput Sci 600(4):70–85

5. Chen G, Huang K, Knoll A (2014) Energy optimization for real-time multiprocessor system-on-chip with optimal DVFS and DPM combination. ACM Trans Embed Comput Syst 13(3s):1–21

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