This paper presents the implementation of kDCI, an enhancement of DCI [10], a scalable algorithm for discovering frequent sets in large databases. The main contribution of kDCI re...
Salvatore Orlando, Claudio Lucchese, Paolo Palmeri...
Network attached storage systems must provide highly available access to data while maintaining high performance, easy management, and maximum scalability. In this paper, we descr...
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
Odysseas Papapetrou, Wolf Siberski, Fabian Leitrit...
Abstract. This paper presents XPeer, a data sharing system for massively distributed XML data. XPeer allows users to publish and query heterogeneous information without any signi...
Giovanni Conforti, Giorgio Ghelli, Paolo Manghi, C...
GPU-based heterogeneous clusters continue to draw attention from vendors and HPC users due to their high energy efficiency and much improved single-node computational performance...