: The fusion of data from different sensorial sources is the most promising method to increase robustness and reliability of environmental perception today. The paper presents an a...
Ulrich Scheunert, Philipp Lindner, Eric Richter, G...
This paper describes a parallel rendering method based on the adaptive supersampling technique to produce anti-aliased images with minimal memory consumption. Unlike traditional s...
Sam Lin, Rynson W. H. Lau, Xiaola Lin, Paul Y. S. ...
In this paper we examine the feasibility of running message passing applications across clouds. Our on-going Unibus project aims to provide a flexible approach to provisioning and ...
Clustering of data has numerous applications and has been studied extensively. It is very important in Bioinformatics and data mining. Though many parallel algorithms have been des...
Recently, growing attention is focused on run-time management of Quality of Service (QoS) of complex software systems. In this context, self-adaptation of applications, based on r...
Mauro Caporuscio, Antinisca Di Marco, Paola Invera...