Today’s heterogeneous embedded systems combine components from different domains, such as software, analogue hardware and digital hardware. The design and implementation of thes...
Andreas Herrholz, Frank Oppenheimer, Philipp A. Ha...
— In this paper, a parallel model of multi-objective genetic algorithm supposing a grid environment is discussed. In this proposed parallel model, we extended master-slave model ...
Every notion of a component for the development of embedded systems has to take heterogeneity into account: components may be hardware or software or OS, synchronous or asynchrono...
Heterogeneous clusters and grid infrastructures are becoming increasingly popular. In these computing infrastructures, machines have different resources, including memory sizes, d...
Enhancing productivity for designing complex embedded systems requires system level design methodology and language support for capturing complex design in high level models. For ...
Hiren D. Patel, Sandeep K. Shukla, Reinaldo A. Ber...