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git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@2158 331e1502-861f-0410-8da2-ba01fb791d7f

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boufaras 2011-02-10 14:05:42 +00:00
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ParadisEO-GPU/tutoriel/PPP_GPU/CMakeLists.txt Normal file
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ADD_SUBDIRECTORY(application)

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ParadisEO-GPU/tutoriel/PPP_GPU/application/CMakeLists.txt Normal file
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##############################################################################
##
## CMakeLists file for OneMax Example/application
##
###############################################################################
######################################################################################
### 1) Include the sources
######################################################################################
INCLUDE_DIRECTORIES(
# include CUDA source directory
${CUDA_SRC_DIR}
# include NVIDIA source directory
${NVIDIA_SRC_DIR}
# include EO source directory
${PARADISEO_EO_SRC_DIR}/src
# include MO source directory
${PARADISEO_MO_SRC_DIR}/src
# include problems directory
${PARADISEO_PROBLEMS_SRC_DIR}
# include GPU directory
${PARADISEO_GPU_SRC_DIR}
# include your source directory
${CMAKE_CURRENT_SOURCE_DIR}/../src
)
######################################################################################
######################################################################################
### 2) Specify where CMake can find the libraries
######################################################################################
LINK_DIRECTORIES(${PARADISEO_EO_BIN_DIR}/lib ${NVIDIA_LIB_DIR} ${CUDA_LIB_DIR} )
######################################################################################
######################################################################################
### 3) Define your targets and link the librairies
######################################################################################
#CUDA_ADD_EXECUTABLE(CutestSimpleHC_PPP testSimpleHC_PPP.cu)
CUDA_ADD_EXECUTABLE(CutestSimpleTS_PPP testSimpleTS_PPP.cu)
#TARGET_LINK_LIBRARIES(CutestSimpleHC_PPP eoutils ga eo ${cutil})
TARGET_LINK_LIBRARIES(CutestSimpleTS_PPP eoutils ga eo ${cutil})

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ParadisEO-GPU/tutoriel/PPP_GPU/application/testSimpleTS_PPP.cu Normal file
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/*
<testSimpleTS_PPP.cu>
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
*/
//Init the number of threads per block
#define BLOCK_SIZE 256
#define Nd 101
#define Md 117
#define ca 30
#define cb 1
#include <iostream>
#include <stdlib.h>
#include <stdio.h>
using namespace std;
__device__ int * dev_a;
__device__ int * dev_h;
// The general include for eo
#include <eo>
#include <ga.h>
// Fitness function
#include <problems/eval/PPPEval.h>
// Cuda Fitness function
#include <eval/moCudaKswapEval.h>
#include <problems/eval/PPPIncrEval.h>
//Specific data to PPP problem
#include <problems/data/PPPData.h>
// PPP solution
#include <problems/types/PPPSolution.h>
// PPP neighbor
#include <problems/neighborhood/PPPNeighbor.h>
//To compute execution time
#include <performance/moCudaTimer.h>
//Kswap neighborhood
#include <neighborhood/moCudaKflipNeighborhood.h>
// The Solution and neighbor comparator
#include <comparator/moNeighborComparator.h>
#include <comparator/moSolNeighborComparator.h>
// The Iter continuator
#include <continuator/moIterContinuator.h>
// The Tabou Search algorithm
#include <algo/moTS.h>
//Tabu list
#include <memory/moIndexedVectorTabuList.h>
//Memories
#include <memory/moDummyIntensification.h>
#include <memory/moDummyDiversification.h>
#include <memory/moBestImprAspiration.h>
typedef PPPSolution<eoMinimizingFitness> solution;
typedef PPPNeighbor<solution> Neighbor;
typedef moCudaKflipNeighborhood<Neighbor> Neighborhood;
int main(int argc, char **argv)
{
/* =========================================================
*
* Parameters
*
* ========================================================= */
// First define a parser from the command-line arguments
eoParser parser(argc, argv);
// For each parameter, define Parameter, read it through the parser,
// and assign the value to the variable
// seed
eoValueParam<uint32_t> seedParam(time(0), "seed", "Random number seed", 'S');
parser.processParam( seedParam );
unsigned seed = seedParam.value();
// Swap number
eoValueParam<unsigned int> KSwapParam(0, "KSwap", "swap number", 'N');
parser.processParam(KSwapParam, "KSwap" );
unsigned KSwap = KSwapParam.value();
// Iteration number
eoValueParam<unsigned int> nbIterationParam(1, "nbIteration", "TS Iteration number", 'I');
parser.processParam( nbIterationParam, "TS Iteration number" );
unsigned nbIteration = nbIterationParam.value();
// size tabu list
eoValueParam<unsigned int> sizeTabuListParam(7, "sizeTabuList", "size of the tabu list", 'T');
parser.processParam( sizeTabuListParam, "Search Parameters" );
unsigned sizeTabuList = sizeTabuListParam.value();
// duration tabu list
eoValueParam<unsigned int> durationParam(7, "duration", "duration of the tabu list", 'D');
parser.processParam( durationParam, "Search Parameters" );
unsigned duration = durationParam.value();
// the name of the "status" file where all actual parameter values will be saved
string str_status = parser.ProgramName() + ".status"; // default value
eoValueParam<string> statusParam(str_status.c_str(), "status", "Status file");
parser.processParam( statusParam, "Persistence" );
// do the following AFTER ALL PARAMETERS HAVE BEEN PROCESSED
// i.e. in case you need parameters somewhere else, postpone these
if (parser.userNeedsHelp()) {
parser.printHelp(cout);
exit(1);
}
if (statusParam.value() != "") {
ofstream os(statusParam.value().c_str());
os << parser;// and you can use that file as parameter file
}
/* =========================================================
*
* Random seed
*
* ========================================================= */
//reproducible random seed: if you don't change SEED above,
// you'll aways get the same result, NOT a random run
rng.reseed(seed);
/* =========================================================
*
* Initilisation of QAP data
*
* ========================================================= */
PPPData<int> _data;
/* =========================================================
*
* Initilisation of the solution
*
* ========================================================= */
solution sol(Nd);
_data.cudaObject.memCopyGlobalVariable(dev_a,_data.a_d);
_data.cudaObject.memCopyGlobalVariable(dev_h,_data.H_d);
/*=========================================================
*
* Evaluation of a solution neighbor's
*
* ========================================================= */
PPPEval<solution> eval(_data);
unsigned long int sizeMap=sizeMapping(Nd,KSwap);
PPPIncrEval<Neighbor> incr_eval;
moCudaKswapEval<Neighbor,PPPIncrEval<Neighbor> > cueval(sizeMap,incr_eval);
/* =========================================================
*
* Comparator of solutions and neighbors
*
* ========================================================= */
moNeighborComparator<Neighbor> comparator;
moSolNeighborComparator<Neighbor> solComparator;
/* =========================================================
*
* a solution neighborhood
*
* ========================================================= */
Neighborhood neighborhood(Nd,KSwap,cueval);
/* =========================================================
*
* continuator
*
* ========================================================= */
moIterContinuator <Neighbor> continuator(nbIteration);
/* =========================================================
*
* tabu list
*
* ========================================================= */
sizeTabuList=(Nd*(Nd-1))/2;
duration=sizeTabuList/8;
// tabu list
moIndexedVectorTabuList<Neighbor> tl(sizeTabuList,duration);
/* =========================================================
*
* Memories
*
* ========================================================= */
moDummyIntensification<Neighbor> inten;
moDummyDiversification<Neighbor> div;
moBestImprAspiration<Neighbor> asp;
/* =========================================================
*
* The Tabu search algorithm
*
* ========================================================= */
moTS<Neighbor> tabuSearch(neighborhood, eval, cueval, comparator, solComparator, continuator, tl, inten, div, asp);
/* =========================================================
*
* Execute the local search from random sollution
*
* ========================================================= */
//Can be eval here, else it will be done at the beginning of the localSearch
eval(sol);
std::cout << "initial: " << sol<< std::endl;
// Create timer for timing CUDA calculation
cudaFuncSetCacheConfig(kernelPermutation<solution,eoMinimizingFitness, Neighbor , PPPIncrEval<Neighbor> >, cudaFuncCachePreferL1);
moCudaTimer timer;
timer.start();
tabuSearch(sol);
std::cout << "final: " << sol << std::endl;
timer.stop();
printf("CUDA execution time = %f ms\n",timer.getTime());
timer.deleteTimer();
_data.cudaObject.free(dev_a);
_data.cudaObject.free(dev_h);
return 0;
}