Easea EO/Galib independant template

0.9bu rc-1

Easea.h

@@ -21,7 +21,7 @@ Centre de Math
 #define GALIB 1
 #define EO 2
 #define DREAM 3
-#define GPU 4
+#define CUDA 4
 #define UNIX 1
 #define WINDOWS 2
 #define UNKNOWN_OS 3

EaseaSym.h

@@ -35,7 +35,6 @@ public:
   CListItem<T> *pNext; // pointer to the next object in the list      
 };
 
-
 /////////////////////////////////////////////////////////////////////////////
 // Linked List
 
@@ -56,7 +55,7 @@ public :
   CListItem<T> *walkToNextItem();
   CListItem<T> *remove(T *p);
   };
-void reInitAlreadyPtedBit(CLList<CSymbol *> *pSymbolList);
+
  /////////////////////////////////////////////////////////////////////////////
 // Symbol
 
@@ -80,16 +79,15 @@ public:
   CSymbol *pClass;  // pointer to the variable class in which it is defined.
   CLList<CSymbol *> *pSymbolList; // pointer on a list of class members (if the symbol is a class)
                                         // pointer on the class (if the symbol is a variable)
-
+  
 // Operations
 public:
   void print(FILE *f);
-  void printHdr(FILE *fp);
-  void printCode(FILE* fp);
   void printClasses(FILE *f);      
-  void printClassesHdr(FILE* f);
-  void printClassesCode(FILE* f);
   void printAllSymbols(FILE *f, char *, EObjectType, CListItem<CSymbol *> *pSym);
+  void printUserClasses(FILE* fp);
+  void printUC(FILE* fp);
+
 };
 
 /////////////////////////////////////////////////////////////////////////////

exemples/cuda_bench/Generic_T_ad.ez

-/*_________________________________________________________
-
-Test functions
-log normal adaptive mutation
-Selection operator: Tournament
-__________________________________________________________*/
-
-\User declarations :
-#define SIZE 501
-#define X_MIN -1.
-#define X_MAX 1.
-#define ITER 50      
-#define Abs(x) ((x) < 0 ? -(x) : (x))
-#define MAX(x,y) ((x)>(y)?(x):(y))
-#define MIN(x,y) ((x)<(y)?(x):(y))
-#define SIGMA  1.                     /*  mutation parameter */
-#define PI 3.141592654
-
-#include <math.h> 
-float pMutPerGene=1.;
-int mutationOccured = 0;
-#define N 10
-
-float (*Fitness)(float *, int);   // pointeur sur la fonction de fitness designee dans argv[1]
-float Sphere(float *, int);
-float AckleyPath(float *, int);
-float Easom(float *, int);
-float Griewangk(float *, int);
-float Rastrigin(float *, int);
-float Rosenbrock(float *, int);
-float Schwefel(float *, int);
-float Weierstrass(float *, int);
-
-\end
-
-
-\User functions proto:
-float gauss();
-
-\end
-
-\User functions:
-//fitness function
-
-inline float Sphere(float x[SIZE], int n) {// Ex-DeJong function 1
-   float ret = 0;
-   for (int i = 0;i<n; i++) ret += x[ i ] * x[ i ];
-   return ret;
-}
-
-/* __host__ __device__ inline float AckleyPath(float x[SIZE], int n) */
-/* { */
-/*     //Parameters */
-/*     float a = 20.;  */
-/*     float b = 0.2;  */
-/*     float c = 2*PI; */
-/*     float Scale = 32.768; // pour matcher avec les limites [-1,1] */
- 
-/*     //Function computation */
-/*     float sum_x2 = 0.0; */
-/*     float sum_cos_cx = 0.0; */
-/*     for (int i=0; i<n; i++) { */
-/* 		sum_x2 += Scale*Scale*x[i]*x[i]; */
-/*     		sum_cos_cx += cos(c*Scale*x[i]); */
-/* 		} */
-/*     float res = -a * exp( -b * sqrt( 1/(float)n * sum_x2) ) - exp( 1/(float)n * sum_cos_cx ) + a + exp(1); */
-/*     return res; */
-/* } */
-/* __host__ __device__ inline float Easom(float x[SIZE], int n)  */
-/* { */
-/*     float res = 1.; */
-/*     //function computation */
-/*     for (int i=0; i<n; i++)  */
-/* 	res *= cos(100.*x[i])*exp(-(100.*x[i]-PI)*(100.*x[i]-PI));  */
-/*     return (1.-res); // pour avoir un minimum a 0. */
-/* } */
-/* __host__ __device__ inline float Griewangk(float x[SIZE], int n)  */
-/* { */
-/*    float res, sum = 0., prod =1.; */
-/*    float Scale = 600.; // pour matcher avec les limites [-1,1] */
- 
-/* 	for (int i=1; i<=n; i++) { */
-/* 		prod *= cos( Scale*x[i]/sqrt( (float)i ) ); */
-/*     		sum += (Scale*Scale*x[i]*x[i]/4000.); */
-/* 		} */
-/*   	res = sum - prod + 1.; */
-/*     	return res; */
-/* } */
-
-__host__ __device__ inline float Rastrigin(float x[SIZE], int n)
-{
-   float res = 0.;
-   float Scale = 5.12; // pour matcher avec les limites [-1,1]
-
-   for (int i = 0;i<n; i++)
-	res += ((Scale*Scale*x[i]*x[i])-10*cos( 2*PI*Scale*x[i]));
-   return (10.*N + res);
-}
-
-/* inline float Rosenbrock(float x[SIZE], int n) */
-/* { */
-/*    float res = 0.; */
-/*    float Scale = 2.048; // pour matcher avec les limites [-1,1] */
-
-/*    for (int i = 0;i<n; i++)  */
-/*     	res += 100.*((Scale*x[i+1] - Scale*Scale*x[i]*x[i])*(Scale*x[i+1]  */
-/*                - Scale*Scale*x[i]*x[i]))+(1-Scale*x[i])*(1-Scale*x[i]); */
-/*    return (res); */
-/* } */
-
-__host__ __device__ inline float Schwefel(float x[SIZE], int n)
-{
-   float res = 0.;
-   float Scale = 500.; // pour matcher avec les limites [-1,1]
-
-   for (int i = 0;i<N; i++) 
-     res += (-Scale*x[i]*sin(sqrt(Abs(Scale*x[i]))));
-   return ((float)n*418.9829 + res);
-}
-
-__device__ __host__ inline float Weierstrass(float x[SIZE], int n)  // Weierstrass multimidmensionnel h = 0.25
-{
-   float res = 0.;
-   float val[SIZE];
-   float b=2.;
-   float h = 0.25;
-
-   for (int i = 0;i<N; i++) {
-	val[i] = 0.;
-    	for (int k=0;k<ITER;k++)
-		val[i] += pow(b,-(float)k*h) * sin(pow(b,(float)k)*x[i]);
-	res += Abs(val[i]);
-   }
-   return (res);
-} 
-
-float gauss()
-/* Generates a normally distributed random value with variance 1 and 0 mean.
-    Algorithm based on "gasdev" from Numerical recipes' pg. 203. */
-{
-  int iset = 0;
-  float gset = 0.0;
-  float v1 = 0.0, v2 = 0.0, r = 0.0;
-  float factor = 0.0;
-
-  if (iset) {
-        iset = 0;
-        return gset;
-      	}
-  else {    
-        do {
-            v1 = (float)fRandomLoc(0.,1.) * 2.0 - 1.0;
-            v2 = (float)fRandomLoc(0.,1.) * 2.0 - 1.0;
-            r = v1 * v1 + v2 * v2;
-            }
-        while (r > 1.0);
-        factor = sqrt (-2.0 * log (r) / r);
-        gset = v1 * factor;
-        iset = 1;
-        return (v2 * factor);
-}    	}
-
-\end
-
-\Initialisation function:
-  cout<<"N: "<<N<<endl;
-\end
-
-\User classes :
-GenomeClass { 
-	float x[SIZE];
-	float sigma[SIZE]; // auto-adaptative mutation parameter
-	}
-\end
-
-\GenomeClass::initialiser : // "initializer" is also accepted
-  for(int i=0; i<N; i++ ) {
-     	Genome.x[i] = (float)fRandomLoc(X_MIN,X_MAX);
-  	Genome.sigma[i]=(float)fRandomLoc(0.,0.5);
-  }
-\end
-
-\GenomeClass::crossover :
-  for (int i=0; i<N; i++)
-  {
-    float alpha = (float)randomLoc(0.,1.); // barycentric crossover
-     if (&child1) child1->Genome.x[i] = alpha*parent1->Genome.x[i] + (1.-alpha)*parent2->Genome.x[i];
-     //if (&child2) child2->Genome.x[i] = alpha*parent2->Genome.x[i] + (1.-alpha)*parent1->Genome.x[i];
-  }
-\end
-
-\GenomeClass::mutator : // Must return the number of mutations
-  int NbMut=0;
-  float pond = 1./sqrt((float)N);
-
-    for (int i=0; i<N; i++)
-    if (tossCoin(pMutPerGene)){
-      mutationOccured++;
-    	NbMut++;
-       	Genome.sigma[i] = Genome.sigma[i] * exp(SIGMA*pond*(float)gauss());
-       	Genome.sigma[i] = MIN(0.5,Genome.sigma[0]);              
-       	Genome.sigma[i] = MAX(0.,Genome.sigma[0]);
-       	Genome.x[i] += Genome.sigma[i]*(float)fRandomLoc(0,1);
-       	Genome.x[i] = MIN(X_MAX,Genome.x[i]);              // pour eviter les depassements
-       	Genome.x[i] = MAX(X_MIN,Genome.x[i]);
-    	}
-return NbMut;
-\end
-
-\GenomeClass::evaluator : // Returns the score
-float Score= 0.0;
-Score= Weierstrass(Genome.x,N);
-return Score;
-\end
-
-\Default run parameters :        // Please let the parameters appear in this order
- Number of generations : 100     // NB_GEN
-  Mutation probability : 1       // MUT_PROB
-  Crossover probability : 1      // XOVER_PROB
-  Population size : 10     // POP_SIZE
-  Genitors selector: Tournament 2
-  Final reduce: Tournament 2
-
-		    //  Selection operator : Tournament // RouletteWheel, Deterministic, Ranking, Random
-  Offspring size : 80% // 40% 
-		   //Replacement strategy : Plus    // Comma, SteadyState, Generational
-		   //  Discarding operator : Worst    // Best, Tournament, Parent, Random
-  Evaluator goal : Minimise      // Maximise
-  Elitism : On                   // Off
-\end

exemples/cuda_bench/tool/basetype.h

-#define FITNESS_TYPE float
-#define BOOLEAN_EA char
-#define true 1
-#define false 0

exemples/cuda_bench/tool/debug.h

-/* #ifdef DEBUG_KRNL */
-/* #define CDC( lastError, errorMsg, fun )					\ */
-/*   fun ;									\ */
-/*   cout <<__FILE__<< " : "<<__LINE__<<" "<<errorMsg<<" : "<<endl;	\ */
-/*   cout << "\t" <<(cudaGetErrorString(lastError=cudaGetLastError()))	\ */
-/*   << endl;								\ */
-/*   if( lastError != cudaSuccess )exit(-1) */
-/* #else */
-/* #define CDC( lastError, errorMsg, fun )		\ */
-/*   fun */
-/* #endif */
-
-
-
-#ifdef DEBUG_KRNL
-#define CDC( lastError, errorMsg, fun )					\
-  fun ;									\
-  if((lastError=cudaGetLastError())!=cudaSuccess ){			\
-    cout <<__FILE__<< " : "<<__LINE__<<" "<<errorMsg<<" : "<<endl;	\
-    cout << "\t" <<(cudaGetErrorString(lastError))			\
-	 << endl;							\
-    exit(-1);								\
-  }
-
-#else
-#define CDC( lastError, errorMsg, fun )		\
-  fun
-#endif
-

exemples/cuda_bench/tool/outputea.h

-#ifndef OUTPUT_EA_H
-#define OUTPUT_EA_H
-
-
-
-#define TMP_BUF_LENGTH 512
-
-#define TIMING
-#include "timing.h"
-
-#include <libxml/tree.h>
-#include "basetype.h"
-
-#ifdef __cplusplus
-extern "C" {
-#endif 
-
-
-  typedef struct {
-    DECLARE_TIME(gpu);
-    DECLARE_TIME(cpu);
-    DECLARE_TIME(init);
-    
-    DECLARE_TIME(krnl);
-    DECLARE_TIME(memCpy1);
-    DECLARE_TIME(memCpy2);
-    DECLARE_TIME(alloc);
-    BOOLEAN_EA cmp;
-    BOOLEAN_EA repartition;
-    size_t popSize;
-
-    size_t nbBlock,nbThreadPB,nbThreadLB,memSize,sharedMemSize;
-    size_t fakeIteration;
-
-  }OutputEa;
-  
-  
-  xmlNodePtr outputEaToXmlNode(OutputEa* tt);
-  xmlChar* timevalToXmlChar(struct timeval* ts);
-  void outputTss(const char* filename);
-  void addTs(OutputEa* ts);
-  void initTss(const char* args);
-  void attachSignal();
-  
-
-#ifdef __cplusplus
-}
-#endif 
-
-#endif

exemples/cuda_bench/tool/timing.h

-#include <time.h>             //gettimeofday
-#include <sys/time.h>
-#include <stdio.h>
-
-#ifndef TIMING_H
-#define TIMING_H
-
-
-#ifdef TIMING
-#define DECLARE_TIME(t)				\
-  struct timeval t##_beg, t##_end, t##_res
-#define TIME_ST(t)				\
-  gettimeofday(&t##_beg,NULL)
-#define TIME_END(t)				\
-  gettimeofday(&t##_end,NULL)
-#define SHOW_TIME(t)						\
-  timersub(&t##_end,&t##_beg,&t##_res);				\
-  printf("%s : %d.%06d\n",#t,t##_res.tv_sec,t##_res.tv_usec)
-#define SHOW_SIMPLE_TIME(t)					\
-  printf("%s : %d.%06d\n",#t,t.tv_sec,t.tv_usec)
-#define COMPUTE_TIME(t)						\
-  timersub(&t##_end,&t##_beg,&t##_res)
-#else
-#define DECLARE_TIME(t)
-#define TIME_ST(t)
-#define TIME_END(t)
-#define SHOW_TIME(t)
-#define SHOW_SIMPLE_TIME(t)
-#endif
-
-
-#endif

exemples/cuda_bench/tool/tool.c

-#include <stdlib.h>
-#include <stdio.h>
-#include "tool.h"
-#include <math.h>
-
-int tossCoin(double p){
-
-  if( rand() < p*RAND_MAX)
-    return 1;
-  else 
-    return 0;
-}
-
-int getRandomIntMax(int max){
-  double r = rand();
-  r = r / RAND_MAX;
-  r = r * max;
-  return r;
-}
-
-
-int randomLoc(int min, int max){
-  return min+getRandomIntMax(max-min);
-}
-
-float getRandomFloatMax(float max){
-  float r = rand();
-  r = r / RAND_MAX;
-  r = r * max;
-  return r;
-}
-
-float fRandomLoc(float min,float max){
-  return min+getRandomFloatMax(max-min);
-}
-
-
-
-size_t
-partieEntiereSup(float E){
-  int fl = floor(E);
-  if( fl == E )
-    return E;
-  else
-    return floor(E)+1;
-}

exemples/cuda_bench/tool/tool.h

-#ifndef TOOL_H
-#define TOOL_H
-
-#ifdef __cpluplus
-extern "C" {
-#endif
-
-  int tossCoin(double p);
-  int getRandomIntMax(int max);
-  int randomLoc(int min, int max);
-  size_t partieEntiereSup(float E);
-  float fRandomLoc(float min,float max);
-#ifdef __cpluplus
-}
-#endif
-
-#endif

exemples/cuda_onemax/onemax_cuda.ez

-/*_________________________________________________________
-
-This file was automatically created by GUIDE v0.1c
-User: collet
-Date: Fri Apr 04 23:41:34 CEST 2003
-File name: /home/collet/progs/onemax/onemax.ez
-Target library: EO
-Operating System: Linux
-
-_________________________________________________________*/
-
-\User declarations:
-#define SIZE 16
-static float pMutPerGene=0.1;
-
-static inline void swap(bool& a, bool& b)
-  {bool c=a; a=b; b=c;}
-\end
-
-\User functions:
-/* void swap(bool* a, bool* b){ */
-/*   bool tmp = *a; */
-/*   *a = *b; */
-/*   *b = tmp; */
-/* } */
-\end
-
-\Initialisation function:
-
-\end
-
-\User classes:
-GenomeClass {bool x[SIZE]; }
-\end
-
-\GenomeClass::display:
-for( int i=0 ; i<SIZE;i++) cout << (Genome.x[i]? "1 ":"0 ");
-\end
-
-\GenomeClass::initialiser:
-  for (int i=0;i<SIZE;i++) Genome.x[i]=tossCoin(.5);
-\end
-
-\GenomeClass::crossover:
-  int CrossoverPosition=randomLoc(0,SIZE);
-
-for(int i=0;i<CrossoverPosition+1;i++)
-    swap(child1->Genome.x[i],child2->Genome.x[i]);
-\end
-
-\GenomeClass::mutator:
-  int NbMut=0;
-  for (int i=0;i<SIZE;i++)
-    if (tossCoin(pMutPerGene)){
-       NbMut++;
-       Genome.x[i]=Genome.x[i]?0:1;
-    }
-  return NbMut;
-\end
-
-\GenomeClass::evaluator:
-float Score=0;         
-for (int i=0; i<SIZE;i++)
-  Score+=(Genome.x[i]?1.:0.);
-
-
-for( size_t i=0; i<SIZE ; i++ )
-  printf("%d ",(Genome.x[i]==1?1:0));
-  printf("\n");
-  
-  return Score;
-\end
-
-\At each new generation:
-
-\end
-
-\Default run parameters:
-
-// Variation operators:
-  Operators are called: Sequentially
-  Mutation probability: 0.05
-  Crossover probability: 1
-
-// Evolution Engine:
-  Evaluator goal: Maximise
-  Number of generations: 5
-  Evolutionary engine: Generational
-  Population size: 10
-  Elite: 1
-  Fertility: 10
-  Genitors selector: Tournament 2
-  Selected genitors: 10
-  Offspring size: 10
-  Reduce parents: Tournament 2
-  Surviving parents: 0
-  Reduce offspring: Tournament 2
-  Surviving offspring: 10
-  Final reduce: Tournament 5
-  Elitism: Strong
-
-// Island model:
-  Number of islands: 5
-  Emigration policy: Move
-  Migrants selector: Tournament 2
-  Migrants destination: Neighbours
-  Migration frequency: 0.2
-  Number of emigrants: 3
-  Immigration replacement: Tournament 2
-  Immigration policy: Add
-\end
-

exemples/cuda_onemax/tool/basetype.h

-#define FITNESS_TYPE float
-#define BOOLEAN_EA char
-#define true 1
-#define false 0

exemples/cuda_onemax/tool/debug.h

-#ifdef DEBUG_KRNL
-#define CDC( lastError, errorMsg, fun )					\
-  fun ;									\
-  cout <<__FILE__<< " : "<<__LINE__<<" "<<errorMsg<<" : "<<endl;	\
-  cout << "\t" <<(cudaGetErrorString(lastError=cudaGetLastError()))	\
-  << endl;								\
-  if( lastError != cudaSuccess )exit(-1)
-#else
-#define CDC( lastError, errorMsg, fun )		\
-  fun
-#endif
-

exemples/cuda_onemax/tool/outputea.h

-#ifndef OUTPUT_EA_H
-#define OUTPUT_EA_H
-
-
-
-#define TMP_BUF_LENGTH 512
-
-#define TIMING
-#include "timing.h"
-
-#include <libxml/tree.h>
-#include "basetype.h"
-
-#ifdef __cplusplus
-extern "C" {
-#endif 
-
-
-  typedef struct {
-    DECLARE_TIME(gpu);
-    DECLARE_TIME(cpu);
-    DECLARE_TIME(init);
-    
-    DECLARE_TIME(krnl);
-    DECLARE_TIME(memCpy1);
-    DECLARE_TIME(memCpy2);
-    DECLARE_TIME(alloc);
-    BOOLEAN_EA cmp;
-    BOOLEAN_EA repartition;
-    size_t popSize;
-
-    size_t nbBlock,nbThreadPB,nbThreadLB,memSize,sharedMemSize;
-    size_t fakeIteration;
-