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IJHPCA
2007
130views more  IJHPCA 2007»
13 years 9 months ago
A Composition Environment for MPI Programs
While MPI is the most common mechanism for expressing parallelism, MPI programs are not composable by using current MPI process managers or parallel shells. We introduce MPISH2, an...
Narayan Desai, Ewing L. Lusk, Rick Bradshaw
DAC
2008
ACM
14 years 10 months ago
Predictive design space exploration using genetically programmed response surfaces
Exponential increases in architectural design complexity threaten to make traditional processor design optimization techniques intractable. Genetically programmed response surface...
Henry Cook, Kevin Skadron
CEC
2005
IEEE
14 years 2 months ago
Linear genetic programming using a compressed genotype representation
This paper presents a modularization strategy for linear genetic programming (GP) based on a substring compression/substitution scheme. The purpose of this substitution scheme is t...
Johan Parent, Ann Nowé, Kris Steenhaut, Ann...
ICML
2008
IEEE
14 years 10 months ago
Apprenticeship learning using linear programming
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
Umar Syed, Michael H. Bowling, Robert E. Schapire
DALT
2009
Springer
14 years 3 months ago
Reasoning and Planning with Cooperative Actions for Multiagents Using Answer Set Programming
In this paper, we investigate the multiagent planning problem in the presence of cooperative actions and agents, which have their own goals and are willing to cooperate. To this en...
Tran Cao Son, Chiaki Sakama