One of the first motivations of using grids comes from applications managing large data sets in field such as high energy physics or life sciences. To improve the global throughput...
Over the last decade, a dramatic increase has been observed in the need for generating and organising data in the course of large parameter studies, performance analysis, and soft...
Radu Prodan, Thomas Fahringer, Michael Geissler, G...
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...
We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstr...
The relative tolerances for interconnect and device parameter variations have not scaled with feature sizes which have brought about significant performance variability. As we sca...