int main (){ int vector[100]; int i,cont,resultado ,num, largo=100; cont=0; for (i=0;i<100;i++){ //cont ++; vector[i] = cont; cont ++; } printf("Ingrese un numero entre 1 y 100:"); fflush(stdout); scanf("%d",&num); fflush(stdin); resultado= dicotomica(vector,num,largo); printf("se encontro el numero depues de %d pasos\n", resultado); resultado = secuencial(vector, num,largo); printf("se encontro el numero depues de %d pasos\n", resultado); return 0; }
int main(int argc, char *argv[]) { IplImage *img1,*img2; double elapsed; uint height, width, step, channels; uchar *data; int i; uint channel; if(argc != 3) { printf("wave <modelo> <imagen>\n"); exit(1); } // wavelet model wavelet = (struct wavelet *) NULL; if(! strcmp(argv[1],"haar")) wavelet = &haar; if(! strcmp(argv[1],"daub4")) wavelet = &daub4; if(! strcmp(argv[1],"db3")) wavelet = &db3; if(! wavelet) debug("No se conoce el modelo (haar, daub4)", 0); // load an image img1=cvLoadImage(argv[2],1); if(!img1){ printf("Could not load image file: %s\n",argv[1]); exit(0); } // get the image data height = img1->height; width = img1->width; step = img1->widthStep; channels = img1->nChannels; data = (uchar *)img1->imageData; printf("Processing a %dx%d image with %d channels - step = %d\n",height,width,channels, step); // prepare second image object img2 = cvCreateImage(cvSize(width, height),IPL_DEPTH_8U,1); img2->imageData = (uchar *) malloc(sizeof(uchar)* height * width * channels); img2->widthStep = step; img2->nChannels = channels; // copy img1 into img2 //for(i=0; i < height * width * channels; i++) // img2->imageData[i] = img1->imageData[i]; timerOn(); secuencial(wavelet, img1, img2); //backandforth(img1,img2); elapsed = timerOff(); printf("Secuencial %e ms\n",elapsed); // opencl(); timerOn(); elapsed = timerOff(); printf("Paralelo %lf ms\n",elapsed); }