Sparse Grids are the basis for efficient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of si...
Abstract. One of the main challenges of grid systems of large scale and data intensive is that of providing high availability and performance, in spite of the unreliability and del...
Self-Adapting Numerical Software (SANS) systems aim to bridge the knowledge gap that exists between the expertise of domain scientists, and the know-how that is needed to fulfill...
We present a TCM-Grid for Traditional Chinese Medicine (TCM). The purpose of the TCM-Grid is to aid the development of distributed systems that help health professionals, researche...
Abstract. We describe a virtual telemetry system that allows us to devise and augment dynamic data-driven application simulations (DDDAS). Virtual telemetry has the advantage that ...
Craig C. Douglas, Yalchin Efendiev, Richard E. Ewi...