ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
: This paper presents a Data-Distributed Execution approach that exploits interation-level parallelism in loops operating over arrays. It performs data-dependency analysis, based o...
The ’Distributed Control Lab’ [6] at Hasso-PlattnerInstitute, University of Potsdam allows experimentation with a variety of physical equipment via the web (intra and internet...
Increasing complexity of distributed applications and commodity of resources through grids are making the tasks of deploying those applications harder. There is a clear need for s...
Demand for programming environments to exploit clusters of symmetric multiprocessors (SMPs) is increasing. In this paper, we present a new programming environment, called ParADE, ...