diff --git a/TPs/TP1/CODE/Partie2/dgemm.cu b/TPs/TP1/CODE/Partie2/dgemm.cu
index d31c37d6e137765420577c3c4e7ca991696eef9e..9bc64e9eef89414afa88e83a593fa25a2cbd7845 100755
--- a/TPs/TP1/CODE/Partie2/dgemm.cu
+++ b/TPs/TP1/CODE/Partie2/dgemm.cu
@@ -282,19 +282,19 @@ int main(int argc, char** argv){
 
 
 
-	cudaEventRecord(ct0);
-	d_shared_mult<<<dimGrid, dimBlock>>>(A_d, B_d, C_d, N);
-	cudaEventRecord(ct1);
-	cudaDeviceSynchronize();
-	getLastCudaError("Mult kernel Anzo failed");
-	cudaEventElapsedTime(&cudaDuration, ct0, ct1);
-	checkCudaErrors(cudaMemcpy(C_h, C_d,
-				sizeof(double) * N * N, cudaMemcpyDeviceToHost));
-
-	fprintf(stdout, "GPU Performance results Anzo: \n");
-	fprintf(stdout, "  Time: %lf s\n", cudaDuration / 1000);
-	fprintf(stdout, "  MFlops: %.2f\n", (nb_op / cudaDuration) * 1E-3);
-	verify_matrix(C_cpu, C_h, N);
+//	cudaEventRecord(ct0);
+//	d_shared_mult<<<dimGrid, dimBlock>>>(A_d, B_d, C_d, N);
+//	cudaEventRecord(ct1);
+//	cudaDeviceSynchronize();
+//	getLastCudaError("Mult kernel Anzo failed");
+//	cudaEventElapsedTime(&cudaDuration, ct0, ct1);
+//	checkCudaErrors(cudaMemcpy(C_h, C_d,
+//				sizeof(double) * N * N, cudaMemcpyDeviceToHost));
+//
+//	fprintf(stdout, "GPU Performance results Anzo: \n");
+//	fprintf(stdout, "  Time: %lf s\n", cudaDuration / 1000);
+//	fprintf(stdout, "  MFlops: %.2f\n", (nb_op / cudaDuration) * 1E-3);
+//	verify_matrix(C_cpu, C_h, N);
 
 	return 0;
 }