To be competitive, Enterprises are collecting and analyzing increasingly large amount of data in order to derive business insights. However, there are at least two challenges to m...
We present SETS, an architecture for efficient search in peer-to-peer networks, building upon ideas drawn from machine learning and social network theory. The key idea is to arran...
Abstract. Finite volume numerical methods have been widely studied, implemented and parallelized on multiprocessor systems or on clusters. Modern graphics processing units (GPU) pr...
We introduce the Composite Endpoint Protocol (CEP) which efficiently composes a set of transmission elements to support high speed flows which exceed the capabilities of a single...
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...