diff --git a/README.md b/README.md
index 20e88526..5def32b7 100644
--- a/README.md
+++ b/README.md
@@ -380,7 +380,7 @@ To set up GLFW on a Windows system, Download the pre-built binaries from [GLFW w
 
 #### OpenMP
 
-OpenMP is an API for multiprocessing programming. OpenMP can be installed using your Linux distribution's package manager system. It usually comes preinstalled with GCC. It can also be found at the [OpenMP website](http://openmp.org/).
+OpenMP is an API for multiprocessing programming. OpenMP can be installed using your Linux distribution's package manager system. It usually comes preinstalled with GCC. It can also be found at the [OpenMP website](http://openmp.org/). For compilers such as clang, `libomp.so` and other components for LLVM must be installed separated. You will also need to set additional flags in your CMake configuration files, such as: `-DOpenMP_CXX_FLAGS="-fopenmp=libomp" -DOpenMP_CXX_LIB_NAMES="omp" -DOpenMP_omp_LIBRARY="/path/to/libomp.so"`.
 
 #### Screen
 
diff --git a/Samples/0_Introduction/UnifiedMemoryStreams/CMakeLists.txt b/Samples/0_Introduction/UnifiedMemoryStreams/CMakeLists.txt
index 8dcaa0f0..090cfe2c 100644
--- a/Samples/0_Introduction/UnifiedMemoryStreams/CMakeLists.txt
+++ b/Samples/0_Introduction/UnifiedMemoryStreams/CMakeLists.txt
@@ -20,7 +20,11 @@ endif()
 include_directories(../../../Common)
 
 # Source file
-find_package(OpenMP REQUIRED)
+if(CMAKE_GENERATOR MATCHES "Visual Studio")
+    find_package(OpenMP REQUIRED C CXX)
+else()
+    find_package(OpenMP REQUIRED)
+endif()
 
 if(${OpenMP_FOUND})
     # Add target for UnifiedMemoryStreams
diff --git a/Samples/4_CUDA_Libraries/cuSolverDn_LinearSolver/cuSolverDn_LinearSolver.cpp b/Samples/4_CUDA_Libraries/cuSolverDn_LinearSolver/cuSolverDn_LinearSolver.cpp
index 4153cb4f..cd33ceb0 100644
--- a/Samples/4_CUDA_Libraries/cuSolverDn_LinearSolver/cuSolverDn_LinearSolver.cpp
+++ b/Samples/4_CUDA_Libraries/cuSolverDn_LinearSolver/cuSolverDn_LinearSolver.cpp
@@ -260,7 +260,7 @@ int linearSolverQR(cusolverDnHandle_t handle, int n, const double *Acopy, int ld
     checkCudaErrors(cudaMemcpy(&h_info, info, sizeof(int), cudaMemcpyDeviceToHost));
 
     if (0 != h_info) {
-        fprintf(stderr, "Error: LU factorization failed\n");
+        fprintf(stderr, "Error: QR factorization failed\n");
     }
 
     checkCudaErrors(cudaMemcpy(x, b, sizeof(double) * n, cudaMemcpyDeviceToDevice));