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153
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JPDC
2006
146views more  JPDC 2006»
15 years 2 months ago
A semi-static approach to mapping dynamic iterative tasks onto heterogeneous computing systems
Minimization of the execution time of an iterative application in a heterogeneous parallel computing environment requires an appropriate mapping scheme for matching and scheduling...
Yu-Kwong Kwok, Anthony A. Maciejewski, Howard Jay ...
126
Voted
DATE
2007
IEEE
95views Hardware» more  DATE 2007»
15 years 8 months ago
Memory bank aware dynamic loop scheduling
In a parallel system with multiple CPUs, one of the key problems is to assign loop iterations to processors. This problem, known as the loop scheduling problem, has been studied i...
Mahmut T. Kandemir, Taylan Yemliha, Seung Woo Son,...
ATAL
2003
Springer
15 years 7 months ago
A selection-mutation model for q-learning in multi-agent systems
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
Karl Tuyls, Katja Verbeeck, Tom Lenaerts
NEUROSCIENCE
2001
Springer
15 years 7 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
181
Voted
PDPTA
2010
15 years 12 days ago
Distributed Mobile Computing: Development of Distributed Applications Using Mobile Agents
There exist distributed scenarios in which the need for dynamism, mobility, and adaptivity, has to be addressed with highly dynamical approaches. These scenarios present different ...
Carlos Bobed, Sergio Ilarri, Eduardo Mena