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...
Recently popularized randomized methods for principal component analysis (PCA) efficiently and reliably produce nearly optimal accuracy -- even on parallel processors -- unlike the...
Adaptation to changing environmental conditions is a major challenge for most distributed applications. The service-oriented programming paradigm leads to an increasing number of ...
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...
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...