There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e...
Real world problems such as fire propagation prediction, can often be considered as a compositional combination of multiple, simple but coupled subproblems corresponding to analyt...
John Michopoulos, Panagiota Tsompanopoulou, Elias ...
A key challenge in supporting data-driven scientific applications is the storage and management of input and output data in a distributed environment. In this paper, we describe a...
Stephen Langella, Shannon Hastings, Scott Oster, T...
In this paper we present the design of a multidisciplined problem solving environment (MPSE) for supporting an efficient prediction capability for the response of multiscale interd...
John Michopoulos, Panagiota Tsompanopoulou, Elias ...
: The increasing ability for the sciences to sense the world around us is resulting in a growing need for data driven applications that are under the control of workflows composed ...