We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...
Solving optimally large instances of combinatorial optimization problems requires a huge amount of computational resources. In this paper, we propose an adaptation of the parallel...
Modern high-end machines feature multiple processor packages, each of which contains multiple independent cores and integrated memory controllers connected directly to dedicated p...
Sven Auhagen, Lars Bergstrom, Matthew Fluet, John ...
Distributed computing is increasingly important at a time when the doubling of the number of transistors on a processor every 18 months no longer translates in a doubling of speed ...
Most microprocessor chips today use an out-of-order instruction execution mechanism. This mechanism allows superscalar processors to extract reasonably high levels of instruction ...