Abstract— A fundamental paradigm in peer-to-peer (P2P) content distribution is that of a large community of intermittentlyconnected nodes that cooperate to share files. Because ...
In this paper we investigate how to obtain high-level adaptivity on complex scientific applications such as Finite Element (FE) simulators by building an adaptive version of thei...
Chip multiprocessors (CMPs) present new opportunities for improving database performance on large queries. Because CMPs often share execution, cache, or bandwidth resources among ...
John Cieslewicz, Kenneth A. Ross, Ioannis Giannaka...
The interest among a geographically distributed user base to mine massive collections of scientific data propels the need for efficient data dissemination solutions. An optimal dat...
In this paper we describe the parallelization of two nearest neighbour classification algorithms. Nearest neighbour methods are well-known machine learning techniques. They have be...