Disaster prevention and management is a complicated task that often involves a tremendous volume of heterogeneous data from various resources. With its dynamic and distributed nat...
As efforts to develop grid computing solutions gather pace, considerable attention has been directed at defining and addressing technical requirements associated with computationa...
Ernest Sithole, Gerard P. Parr, Sally I. McClean, ...
Scientists increasingly use ensemble data sets to explore relationships present in dynamic systems. Ensemble data sets combine spatio-temporal simulation results generated using mu...
Kristin Potter, Andrew Wilson, Peer-Timo Bremer, D...
DataScalar architectures improve memory system performance by running computation redundantly across multiple processors, which are each tightly coupled with an associated memory....
This paper describes PRISM, a distributed sharedmemory architecture that relies on a tightly integrated hardware and operating system design for scalable and reliable performance....