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» Computing stable models in parallel
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CLOUD
2010
ACM
15 years 10 months ago
Characterizing, modeling, and generating workload spikes for stateful services
Evaluating the resiliency of stateful Internet services to significant workload spikes and data hotspots requires realistic workload traces that are usually very difficult to obt...
Peter Bodík, Armando Fox, Michael J. Frankl...
HPDC
2010
IEEE
15 years 6 months ago
ParaText: scalable text modeling and analysis
Automated analysis of unstructured text documents (e.g., web pages, newswire articles, research publications, business reports) is a key capability for solving important problems ...
Daniel M. Dunlavy, Timothy M. Shead, Eric T. Stant...
CVPR
2011
IEEE
15 years 2 months ago
Distributed Message Passing for Large Scale Graphical Models
In this paper we propose a distributed message-passing algorithm for inference in large scale graphical models. Our method can handle large problems efficiently by distributing a...
Alexander Schwing, Hazan Tamir, Marc Pollefeys, Ra...
GRID
2007
Springer
15 years 11 months ago
A robust PDE solver for the 3D Stokes/Navier-Stokes systems on the grid environment
Since grid computing provides users with more distributed computing and storage resources, it gives us an opportunity to design new efficient and robust solvers for the numerical...
Huidong Yang, Walter Zulehner, Ulrich Langer, Mark...
167
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SCP
2008
150views more  SCP 2008»
15 years 4 months ago
Google's MapReduce programming model - Revisited
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner. We deliver the first rigorous description of the model including it...
Ralf Lämmel