Abstract. Grids are becoming more and more dynamic, running parallel applications on large scale and heterogeneous resources. Explicitly stopping a whole distributed application is...
For the foreseeable future, most data will continue to be stored in relational databases. To work with these data in ontology-based applications, tools and techniques that bridge t...
Martin J. O'Connor, Ravi Shankar, Samson W. Tu, Cs...
While network-level multicast has tremendous potential for increasing the efficiency of group-oriented applications, the adoption of network-level multicast has been tepid at best....
Data-intensive applications often require exploratory analysis of large datasets. If analysis is performed on distributed resources, data locality can be crucial to high throughpu...
Ioan Raicu, Yong Zhao, Ian T. Foster, Alexander S....
Abstract--The lag of parallel programming models and languages behind the advance of heterogeneous many-core processors has left a gap between the computational capability of moder...