The use of real-time data streams in data-driven computational science is driving the need for stream processing tools that work within the architectural framework of the larger ap...
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
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...
Many recent research efforts have been devoted to the use of commodity hardware for solving computationallyintensive scientific problems. Among such problems, hyperspectral imagi...
Javier Setoain, Christian Tenllado, Manuel Prieto,...
Seismic modeling is an integral part of the seismic data processing for oil and gas exploration, as it provides us the seismic response for a given earth model. Grid enabled seismi...
Dheeraj Bhardwaj, Jeremy Cohen, Steve McGough, Ste...