X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/snake_gpu.git/blobdiff_plain/935bdd1c8b99ce5d70b6e4a53ca29f06353e8baa..refs/heads/master:/src/lib_gpu.cu

diff --git a/src/lib_gpu.cu b/src/lib_gpu.cu
index d6df5ec..d54bade 100644
--- a/src/lib_gpu.cu
+++ b/src/lib_gpu.cu
@@ -39,9 +39,16 @@ void cuda_init_img_cumul(unsigned short ** img_in, int H, int L, int nb_nodes,
 {
   unsigned int taille = H*L;
   timeval chrono;
-
+ 
   
   //allocation cumuls en memoire GPU
+
+  // allocate array and copy image data
+  cudaChannelFormatDesc channelDesc = cudaCreateChannelDesc(32, 0, 0, 0, cudaChannelFormatKindUnsigned);
+  cudaArray * array_img_in ;
+  cudaMallocArray( &array_img_in, &channelDesc, L, H ); 
+  cudaBindTextureToArray( tex_img_in, array_img_in, channelDesc);
+  
   tic(&chrono, NULL);
   /*
 	MAX_PIX 20000
@@ -106,6 +113,7 @@ void cuda_init_img_cumul(unsigned short ** img_in, int H, int L, int nb_nodes,
   /*transfert image en global mem GPU*/
   tic(&chrono, NULL);
   cudaMemcpy( *d_img, img_in[0], taille*sizeof(unsigned short), cudaMemcpyHostToDevice);
+  cudaMemcpyToArray( array_img_in, 0, 0, (unsigned int*)*d_img, taille*sizeof(unsigned int) , cudaMemcpyDeviceToDevice) ;
   toc(chrono, "transfert image vers GPU");
 
   //calculs images cumulees sur GPU
@@ -226,7 +234,8 @@ void cuda_init_img_cumul(unsigned short ** img_in, int H, int L, int nb_nodes,
 		}
 	  printf("STATS IMAGE  N = %d - sigX = %lu - sigX2 = %lu\n",  H*L, sigX, sigX2 );
 	}
-  
+
+	 exit(0) ;
   /*
    * generation snake en mem GPU
    */
@@ -234,7 +243,7 @@ void cuda_init_img_cumul(unsigned short ** img_in, int H, int L, int nb_nodes,
   
   tic(&chrono, NULL);
   if (nb_nodes == 4)  genere_snake_rectangle_4nodes_gpu<<< 1, 1>>>(*d_snake, 140, H, L) ;
-  else if (nb_nodes == 40) genere_snake_rectangle_Nnodes_gpu<<< 1, 1>>>(*d_snake, (H+L)/20, H, L) ;
+
 
   int nnodes = nb_nodes ;
   snake_node_gpu * h_snake = new snake_node_gpu[nnodes];