Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing largescale computation. The...
We present an integrated approach for supporting in-network sensor data processing in dynamic and heterogeneous sensor networks. The concept relies on data stream processing techni...
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
Abstract. We discuss the High Performance Fortran data parallel programming language as an aid to software engineering and as a tool for exploiting High Performance Computing syste...
The application domain of intelligent transportation is plagued by a shortage of data sources that adequately assess traffic situations. Typically, to provide routing and navigati...
Dieter Pfoser, Sotiris Brakatsoulas, Petra Brosch,...