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Abstract: Load balancing increases the efficient usage of existing resources for parallel and distributed applications. At a coarse level of granularity, advances in runtime systems for parallel programs have been proposed in order to control available resources as efficiently as possible by utilizing idle resources and using task migration. Simultaneous- ly, at a finer granularity level, advances in algorithmic strategies for dynamically balancing computational loads by data redistribution have been ... (Update)
Context of citations to this paper: More
...IV. Integrated Data Parallel Load Balancing To take advantage of the benefits offered by Hector and Fractiling, a new system, Hectiling [7][8][18] has been designed and implemented. Hector achieves better resource utilization by mi grating tasks from highly loaded...
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BibTeX entry: (Update)
I. Banicescu, S. Russ, M. Bilderback, and S. Ghafoor, Experiences from Integrating Algorithmic and System- ic Load Balancing Strategies, Submitted to Parallel Computing, (1998). http://citeseer.ist.psu.edu/article/banicescu98experiences.html More
@article{ banicescu01experiences,
author = "Ioana Banicescu and Sheikh Ghafoor and Vijay Velusamy and Samuel H. Russ and Mark Bilderback",
title = "Experiences from integrating algorithmic and systemic load balancing strategies",
journal = "Concurrency and Computation: Prac\-tice and Experience",
volume = "13",
number = "2",
pages = "121--139",
year = "2001",
url = "citeseer.ist.psu.edu/article/banicescu98experiences.html" }
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Documents on the same site (http://www.erc.msstate.edu/thrusts/cps/hector/main/PubTable.html): More
The Hector Distributed Run-Time Environment - Russ, Robinson, Flachs, Heckel (1998) (Correct)
Dynamic Multimethod Communication - Between Clusters (Correct)
Hector: An Agent--Based Architecture for - Dynamic Resource (Correct)
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