Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
Abstract. Adaptive multiscale methods are among the many effective techniques for the numerical solution of partial differential equations. Efficient grid management is an import...
The widespread adoption of the Resource Description Framework (RDF) for the representation of both open web and enterprise data is the driving force behind the increasing research...
Client-server architectures with clients on divergent platforms are in need of services that serve a high level of interoperability and a loose binding. It should be prevented tha...
Barbara Van De Keer, Dieter Van Rijsselbergen, Eri...
We present a scalable framework for parallelizing greedy graph coloring algorithms on distributed-memory computers. The framework unifies several existing algorithms and blends a ...
Doruk Bozdag, Assefaw Hadish Gebremedhin, Fredrik ...