Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures-Reference-Cited by-同舟云学术

Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures

Published:2018-05-25 Issue:6 Volume:31 Page:e4688
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Escobar Juan José¹^ORCID,Ortega Julio¹^ORCID,Díaz Antonio Francisco¹,González Jesús¹,Damas Miguel¹

Affiliation:

1. Department of Computer Architecture and Technology, CITIC; University of Granada; Spain

Funder

Spanish “Ministerio de Economía y Competitividad” and ERDF funds

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.4688/fullpdf

Reference24 articles.

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5. Barik R Farooqui N Lewis BT Hu C Shpeisman T A black-box approach to energy-aware scheduling on integrated CPU-GPU systems 2016 Barcelona, Spain

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