This preliminary work opens an avenue for parallelizing any evolutionary algorithm developed with EO that would target multicore architectures. References. [1].

ABSTRACT. Multicore machines are becoming a standard way to speed up the system performance. After having instantiated the.

This paper describes a parallel shared-memory version of the DAEYAHSP planning system using the OpenMP directive-based API. The parallelization scheme applies ...

A parallel shared-memory version of the DAEYAHSP planning system using the OpenMP directive-based API is described, which opens an avenue for parallelizing ...

This paper describes a parallel shared-memory version of the DAEYAHSP planning system using the OpenMP directive-based API. The parallelization scheme applies ...

Parallel divide-and-evolve: Experiments with OpenMP on a multicore machine. C Candan, J Dréo, P Savéant, V Vidal. Proceedings of the 13th annual conference on ...

Parallel divide-and-evolve: Experiments with OpenMP on a multicore machine. C Candan, J Dréo, P Savéant, V Vidal. Proceedings of the 13th annual conference on ...

Jul 12, 2011 · Parallel divide-and-evolve: experiments with OpenMP on a multicore machine ... Multicore machines are becoming a standard way to speed up ...

Parallel divide-and-evolve: Experiments with OpenMP on a multicore machine‏. C Candan, J Dréo, P Savéant, V Vidal‏. Proceedings of the 13th annual conference ...

In this paper, we study a hybrid approach to programming such systems – a combination of two traditional programming models, MPI and OpenMP.