Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
Heterogeneous network-based systems are emerging as attractive computing platforms for HPC applications. This paper discusses fundamental research issues that must be addressed to...
Prashanth B. Bhat, Viktor K. Prasanna, Cauligi S. ...
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...
This paper presents a new approach to demosaicing of spatially sampled image data observed through a color filter array, in which properties of Smith-Barnwell filterbanks are empl...
Most recovery schemes that have been proposed for Distributed Shared Memory (DSM) systems require unnecessarily high checkpointing frequency and checkpoint traffic, which are sens...