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» Massively parallel computing using commodity components
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PROCEDIA
2011
14 years 5 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
113
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CORR
2010
Springer
320views Education» more  CORR 2010»
15 years 2 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
15 years 7 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
15 years 8 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
15 years 3 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