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» Massively parallel computing using commodity components
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PROCEDIA
2011
12 years 11 months ago
A Multilevel Parallelism Support for Multi-Physics Coupling
A new challenge in scientific computing is to merge existing simulation models to create new higher fidelity combined (often multi-level) models. While this challenge has been a...
Fang Liu, Masha Sosonkina
CORR
2010
Springer
320views Education» more  CORR 2010»
13 years 9 months ago
An algorithm for the principal component analysis of large data sets
Recently popularized randomized methods for principal component analysis (PCA) efficiently and reliably produce nearly optimal accuracy -- even on parallel processors -- unlike the...
Nathan Halko, Per-Gunnar Martinsson, Yoel Shkolnis...
ISORC
2005
IEEE
14 years 2 months ago
Heterogeneous Adaptive Component-Based Applications with Adaptive.Net
Adaptation to changing environmental conditions is a major challenge for most distributed applications. The service-oriented programming paradigm leads to an increasing number of ...
Andreas Rasche, Marco Puhlmann, Andreas Polze
IPPS
2007
IEEE
14 years 3 months ago
Scalable Distributed Execution Environment for Large Data Visualization
To use heterogeneous and geographically distributed resources as a platform for parallel visualization is an intriguing topic of research. This is because of the immense potential...
Micah Beck, Huadong Liu, Jian Huang, Terry Moore
ISMB
1993
13 years 10 months ago
Protein Sequencing Experiment Planning Using Analogy
Experiment design and execution is a central activity in the natural sciences. The SeqERsystem provides a general architecture for the integration of automated planning techniques...
Brian P. Kettler, Lindley Darden