: Data distribution is one of the key aspects that a parallelizing compiler for a distributed memory architecture should consider, in order to get efficiency from the system. The ...
— The trend in Grid computing towards more data intensive applications, accessing more and more relational databases and requiring advanced integration of secondhand and publicly...
Faced with growing knowledge management needs, enterprises are increasingly realizing the importance of seamlessly integrating critical business information distributed across bot...
Prasan Roy, Mukesh K. Mohania, Bhuvan Bamba, Shree...
Program parallelization requires mapping computation and data to processing elements. Navigational Programming (NavP), based on the principle of migrating computations, offers a d...
Lei Pan, Jingling Xue, Ming Kin Lai, Michael B. Di...
Abstract. The ongoing trend towards open data embraced by the Semantic Web has started to produce a large number of data sources. These data sources are published using RDF vocabul...
Manuel Salvadores, Gianluca Correndo, Bene Rodrigu...