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» Parallel Computer Workload Modeling with Markov Chains
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CCGRID
2005
IEEE
14 years 2 months ago
GangSim: a simulator for grid scheduling studies
Large distributed Grid systems pose new challenges in job scheduling due to complex workload characteristics and system characteristics. Due to the numerous parameters that must b...
Catalin Dumitrescu, Ian T. Foster
CCGRID
2010
IEEE
13 years 6 months ago
Low-Cost Tuning of Two-Step Algorithms for Scheduling Mixed-Parallel Applications onto Homogeneous Clusters
Due to the strong increase of processing units available to the end user, expressing parallelism of an algorithm is a major challenge for many researchers. Parallel applications ar...
Sascha Hunold
JCST
2010
139views more  JCST 2010»
13 years 7 months ago
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
Dilan Görür, Carl Edward Rasmussen
SERP
2003
13 years 10 months ago
Reliability Modeling Using UML
System reliability has become an increasingly important benchmark in measuring service continuity. As part of many service level agreements, system performance is gauged by how lo...
Chokchai Leangsuksun, Hertong Song, Lixin Shen
NIPS
2000
13 years 10 months ago
High-temperature Expansions for Learning Models of Nonnegative Data
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...
Oliver B. Downs