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Abstract: Load balancing is a difficult problem whose solution can greatly increase the speedup one achieves in a parallel distributed memory environment. The necessity for load balancing can arise not only from the structure or dynamics of one's problem, but from the need to compete for processor time with other users. Given a lengthy computation, the ability to exploit changes in processor loads when allocating work or deciding whether to reallocate work is critical in making the computation... (Update)
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BibTeX entry: (Update)
@misc{ majercik-reinforcement,
author = "Stephen M. Majercik and Michael L. Littman",
title = "Reinforcement Learning for Selfish Load Balancing in a Distributed Memory
Environment",
url = "citeseer.ist.psu.edu/majercik96reinforcement.html" }
Citations (may not include all citations):4 Massachusetts Institute of Technology (context) - LIDS-P- - 1996
1 Scalable implementations of multipole-accelerated algorithms.. (context) - Gray, Blanke - 1994
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