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AI
2011
Springer
14 years 3 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
CCGRID
2008
IEEE
15 years 1 months ago
A Probabilistic Model to Analyse Workflow Performance on Production Grids
Production grids are complex and highly variable systems whose behavior is not well understood and difficult to anticipate. The goal of this study is to estimate the impact of the ...
Tristan Glatard, Johan Montagnat, Xavier Pennec
DEBS
2007
ACM
15 years 3 months ago
Adapting publish-subscribe routing to traffic demands
Most of currently available content-based publish-subscribe systems that were designed to operate in large scale, wired scenarios, build their routing infrastructure as a set of b...
Matteo Migliavacca, Gianpaolo Cugola
EAGC
2004
Springer
15 years 3 months ago
Support for User-Defined Metrics in the Online Performance Analysis Tool G-PM
This paper presents the support for user-defined metrics in the G-PM performance analysis tool. G-PM addresses the demand for aggressive optimisation of Grid applications by using ...
Roland Wismüller, Marian Bubak, Wlodzimierz F...
ICPP
2008
IEEE
15 years 6 months ago
Overcoming Scalability Challenges for Tool Daemon Launching
: Many tools that target parallel and distributed environments must co-locate a set of daemons with the distributed processes of the target application. However, efficient and por...
Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supins...