Task distribution using factoring load balancing in Master–Worker applications-Reference-Cited by-同舟云学术

Task distribution using factoring load balancing in Master–Worker applications

Published:2009-07 Issue:16 Volume:109 Page:902-906
ISSN:0020-0190
Container-title:Information Processing Letters
language:en
Short-container-title:Information Processing Letters

Author:

Moreno A.,Cesar E.,Sorribes J.,Margalef T.,Luque E.

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Signal Processing,Theoretical Computer Science

Reference9 articles.

1. E. Cesar, J.G. Mesa, J. Sorribes, E. Luque, Modeling master–worker applications in poetries, in: Ninth International Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS'04), 2004, pp. 22–30

2. Modeling master/worker applications for automatic performance tuning;Cesar;Parallel Comput.,2006

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5. Factoring: a method for scheduling parallel loops;Hummel;Communications of the ACM,1992

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1. Predicting Performance of Hybrid Master/Worker Applications Using Model-Based Regression Trees;2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS);2014-08

2. Dynamic tuning of the workload partition factor and the resource utilization in data-intensive applications;Future Generation Computer Systems;2014-07

3. Performance Model for Master/Worker Hybrid Applications on Multicore Clusters;2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing;2013-11

4. Dynamic Tuning of the Workload Partition Factor in Data-Intensive Applications;2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems;2012-06