Manual parallelization of programs is known to be difficult and error-prone, and there are currently few ways to measure the amount of potential parallelism in the original sequent...
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Developing algorithms for sensor networks—and proving their correctness and performance—, requires simplifying but still realistic models. This paper surveys various models in...
This paper addresses the scheduling of uniformdependence loop nests within the framework of the bulksynchronous parallel (BSP) model. Two broad classes of tightly-nested loops are...
Abstract. The paper presents a new version of a GMDH type algorithm able to perform an automatic model structure synthesis, robust model parameter estimation and model validation i...
Tatyana I. Aksenova, Vladimir Volkovich, Alessandr...