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git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1986 331e1502-861f-0410-8da2-ba01fb791d7f
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boufaras 2010-11-03 10:21:45 +00:00
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ParadisEO-GPU/src/eval/moCudakernelEval.h Normal file
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/*
<moCudakernelEval.h>
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
Karima Boufaras, Thé Van LUONG
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can use,
modify and/ or redistribute the software under the terms of the CeCILL
license as circulated by CEA, CNRS and INRIA at the following URL
"http://www.cecill.info".
As a counterpart to the access to the source code and rights to copy,
modify and redistribute granted by the license, users are provided only
with a limited warranty and the software's author, the holder of the
economic rights, and the successive licensors have only limited liability.
In this respect, the user's attention is drawn to the risks associated
with loading, using, modifying and/or developing or reproducing the
software by the user in light of its specific status of free software,
that may mean that it is complicated to manipulate, and that also
therefore means that it is reserved for developers and experienced
professionals having in-depth computer knowledge. Users are therefore
encouraged to load and test the software's suitability as regards their
requirements in conditions enabling the security of their systems and/or
data to be ensured and, more generally, to use and operate it in the
same conditions as regards security.
The fact that you are presently reading this means that you have had
knowledge of the CeCILL license and that you accept its terms.
ParadisEO WebSite : http://paradiseo.gforge.inria.fr
Contact: paradiseo-help@lists.gforge.inria.fr
*/
#ifndef __moCudakernelEval_H
#define __moCudakernelEval_H
/**
* The kernel function called from the host and executed in device to compute all neighbors fitness at one time
* @param _eval how to evaluate each neighbor
* @param _solution representation of one max problem solution
* @param _allFitness Array of Fitness type to save all neighbors fitness
* @param _fitness the current solution fitness
* @param _neighborhoodsize the size of the neighborhood
*/
template<class EOT, class Fitness, class Neighbor, class IncrementEval>
__global__ void kernelEval(IncrementEval _eval, EOT _solution, Fitness* _allFitness,
Fitness _fitness, unsigned _neighborhoodsize) {
// The thread identifier within a grid block's
int id = blockIdx.x * blockDim.x + threadIdx.x;
// In this representation each id identify one and only one neighbor in neighborhood
if (id < _neighborhoodsize) {
//Compute fitness for id'th neighbor
_allFitness[id] = _eval(_solution, _fitness, id);
}
}
/**
* The kernel function called from the host and executed in device to compute all neighbors fitness at one time
* @param _eval how to evaluate each neighbor
* @param _solution representation of one max problem solution
* @param _allFitness Array of Fitness type to save all neighbors fitness
* @param _fitness the current solution fitness
* @param _neighborhoodsize the size of the neighborhood
*/
template<class EOT, class Fitness, class Neighbor, class IncrementEval>
__global__ void kernelKswap(IncrementEval _eval, EOT _solution, Fitness* _allFitness,
Fitness _fitness, unsigned _neighborhoodsize, unsigned * _mapping,unsigned _Kswap) {
// The thread identifier within a grid block's
int id = blockIdx.x * blockDim.x + threadIdx.x;
unsigned tmp;
unsigned i;
unsigned index;
// In this representation each id identify one and only one neighbor in neighborhood
if (id < _neighborhoodsize) {
tmp=_fitness;
for(i=0;i<=_Kswap;i++){
index=_mapping[id + i * _neighborhoodsize];
tmp= _eval(_solution, tmp, index);
}
_allFitness[id]=tmp;
}
}
#endif