X-Git-Url: http://git.euphorik.ch/?p=GPU.git;a=blobdiff_plain;f=WCudaMSE%2FStudent_Cuda%2Fsrc%2Fcpp%2Fcore%2F01c_Saucisson%2FSaucisson.cu;h=4d887a9f80bcdd30bdc74f0f76b8dd1f64f22b6f;hp=3ec1cd35faccad8a34b19cf19d61e98c7682d0c5;hb=6664817ed89b0b616044da35a3eb8f715e0813d9;hpb=ee885ed84f2ff3d5fb1e7ac41fa3c8879314ee36

diff --git a/WCudaMSE/Student_Cuda/src/cpp/core/01c_Saucisson/Saucisson.cu b/WCudaMSE/Student_Cuda/src/cpp/core/01c_Saucisson/Saucisson.cu
index 3ec1cd3..4d887a9 100644
--- a/WCudaMSE/Student_Cuda/src/cpp/core/01c_Saucisson/Saucisson.cu
+++ b/WCudaMSE/Student_Cuda/src/cpp/core/01c_Saucisson/Saucisson.cu
@@ -27,7 +27,7 @@ void reductionIntraThread(int n, float deltaX, float* tabSM)
         {
         const float i = s + 1;
         const float xi = -1 + i * deltaX;
-        threadResult += sqrtf(1-xi*xi);
+        threadResult += sqrtf(1 - xi * xi);
 
         s += NB_THREAD;
         }
@@ -78,7 +78,7 @@ void reductionInterBlock(float* tabSM, float* ptrResult)
     const int TID_LOCAL = Indice1D::tidLocal();
     if (TID_LOCAL == 0)
         {
-        atomicAdd(ptrResult, float(tabSM[0]));
+        atomicAdd(ptrResult, tabSM[0]);
         }
     }
 
@@ -107,13 +107,13 @@ void saucisson(int n, float deltaX, float* ptrResult)
 
 bool saucisson()
     {
-    cout << "saucisson() ..." << endl;
+    cout << endl << "saucisson() ..." << endl;
 
     // Nombre d'échantillon. Au-delà, la qualité du résultat n'est pas meilleure. Il faudrait employé des doubles à la place de floats.
     const int N = 100000;
 
     // Allocation coté GPU en global memory (GM).
-    float* ptrDevResult = 0;
+    float* ptrDevResult;
     HANDLE_ERROR(cudaMalloc(&ptrDevResult, sizeof(float)));
     HANDLE_ERROR(cudaMemset(ptrDevResult, 0, sizeof(float)));