git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@2168 331e1502-861f-0410-8da2-ba01fb791d7f

ParadisEO-GPU/src/problems/data/PPPData.h

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+/*
+ <PPPData.h>
+ Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
+
+ Boufaras Karima, 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 _PPPData_H_
+#define _PPPData_H_
+
+#include <memory/moCudaSpecificData.h>
+
+template<class ElemType>
+class PPPData: public moCudaSpecificData {
+
+public:
+
+	using moCudaSpecificData::cudaObject;
+
+	/**
+	 * Default Constructor
+	 */
+
+	PPPData() :
+		moCudaSpecificData() {
+
+		(*this).load();
+	}
+
+	/**
+	 * Constructor by copy
+	 * @param _pppData the specific data of PPP
+	 */
+
+	PPPData(const PPPData & _pppData) {
+
+		a_h = new int[Md * Nd];
+		H_h = new int[Nd + 1];
+
+		for (int i = 0; i < Md; i++)
+			for (int j = 0; j < Nd; j++) {
+				a_h[i * Nd + j] = _pppData.a_h[i * Nd + j];
+			}
+		for (int k = 0; k <= Nd; k++) {
+			H_h[k] = _pppData.H_h[k];
+		}
+
+		cudaObject.memCopy(a_d, a_h, Nd * Md);
+		cudaObject.memCopy(H_d, H_h, Nd + 1);
+
+	}
+
+	/**
+	 * Assignement operator
+	 * @param _pppData the specific data of PPP
+	 * @return a PPP Data
+	 */
+
+	PPPData & operator=(const PPPData & _pppData) {
+
+		a_h = new int[Md * Nd];
+		H_h = new int[Nd + 1];
+		for (int i = 0; i < Md; i++)
+			for (int j = 0; j < Nd; j++) {
+				a_h[i * Nd + j] = _pppData.a_h[i * Nd + j];
+			}
+		for (int k = 0; k <= Nd; k++) {
+			H_h[k] = _pppData.H_h[k];
+		}
+
+		cudaObject.memCopy(a_d, a_h, Nd * Md);
+		cudaObject.memCopy(H_d, H_h, Nd + 1);
+
+		return (*this);
+	}
+
+	/*
+	 * Destructor
+	 */
+
+	~PPPData() {
+		cudaObject.memFree(a_d);
+		cudaObject.memFree(H_d);
+		delete[] a_h;
+		delete[] H_h;
+	}
+
+	/*
+	 *Load PPP data 
+	 */
+
+	void load(char * _fileName) {
+	}
+
+	void load() {
+
+		int *v = new int[Nd];
+		int *s = new int[Md];
+		a_h = new int[Md * Nd];
+		H_h = new int[Nd + 1];
+		for (int i = 0; i < Md; i++) {
+			for (int j = 0; j < Nd; j++) {
+				if (rng.rand() % 2)
+					a_h[i * Nd + j] = 1;
+				else
+					a_h[i * Nd + j] = -1;
+			}
+		}
+
+		for (int i = 0; i < Nd; i++) {
+			if (rng.rand() % 2)
+				v[i] = 1;
+			else
+				v[i] = -1;
+		}
+
+		for (int i = 0; i < Md; i++) {
+			s[i] = 0;
+			for (int j = 0; j < Nd; j++)
+				s[i] += a_h[i * Nd + j] * v[j];
+			if (s[i] < 0) {
+				for (int k = 0; k < Nd; k++)
+					a_h[i * Nd + k] = -a_h[i * Nd + k];
+				s[i] = -s[i];
+			}
+		}
+
+		for (int i = 0; i <= Nd; i++)
+			H_h[i] = 0;
+		for (int i = 0; i < Md; i++)
+			H_h[s[i]]++;
+
+		//Allocate and copy QAP data from CPU memory to GPU global memory
+		cudaObject.memCopy(a_d, a_h, Nd * Md);
+		cudaObject.memCopy(H_d, H_h, Nd + 1);
+
+		delete[] v;
+		delete[] s;
+
+	}
+
+public:
+
+	ElemType* a_h;
+	ElemType* H_h;
+	ElemType* a_d;
+	ElemType* H_d;
+
+};
+#endif
+