Apply consistent code formatting across the repo. Add clang-format and pre-commit hooks.

Samples/0_Introduction/simplePrintf/simplePrintf.cu

@@ -26,48 +26,49 @@
  */
 
 // System includes
-#include <stdio.h>
 #include <assert.h>
+#include <stdio.h>
 
 // CUDA runtime
 #include <cuda_runtime.h>
 
 // helper functions and utilities to work with CUDA
-#include <helper_functions.h>
 #include <helper_cuda.h>
+#include <helper_functions.h>
 
 #ifndef MAX
 #define MAX(a, b) (a > b ? a : b)
 #endif
 
-__global__ void testKernel(int val) {
-  printf("[%d, %d]:\t\tValue is:%d\n", blockIdx.y * gridDim.x + blockIdx.x,
-         threadIdx.z * blockDim.x * blockDim.y + threadIdx.y * blockDim.x +
-             threadIdx.x,
-         val);
+__global__ void testKernel(int val)
+{
+    printf("[%d, %d]:\t\tValue is:%d\n",
+           blockIdx.y * gridDim.x + blockIdx.x,
+           threadIdx.z * blockDim.x * blockDim.y + threadIdx.y * blockDim.x + threadIdx.x,
+           val);
 }
 
-int main(int argc, char **argv) {
-  int devID;
-  cudaDeviceProp props;
+int main(int argc, char **argv)
+{
+    int            devID;
+    cudaDeviceProp props;
 
-  // This will pick the best possible CUDA capable device
-  devID = findCudaDevice(argc, (const char **)argv);
+    // This will pick the best possible CUDA capable device
+    devID = findCudaDevice(argc, (const char **)argv);
 
-  // Get GPU information
-  checkCudaErrors(cudaGetDevice(&devID));
-  checkCudaErrors(cudaGetDeviceProperties(&props, devID));
-  printf("Device %d: \"%s\" with Compute capability %d.%d\n", devID, props.name,
-         props.major, props.minor);
+    // Get GPU information
+    checkCudaErrors(cudaGetDevice(&devID));
+    checkCudaErrors(cudaGetDeviceProperties(&props, devID));
+    printf("Device %d: \"%s\" with Compute capability %d.%d\n", devID, props.name, props.major, props.minor);
 
-  printf("printf() is called. Output:\n\n");
+    printf("printf() is called. Output:\n\n");
 
-  // Kernel configuration, where a two-dimensional grid and
-  // three-dimensional blocks are configured.
-  dim3 dimGrid(2, 2);
-  dim3 dimBlock(2, 2, 2);
-  testKernel<<<dimGrid, dimBlock>>>(10);
-  cudaDeviceSynchronize();
+    // Kernel configuration, where a two-dimensional grid and
+    // three-dimensional blocks are configured.
+    dim3 dimGrid(2, 2);
+    dim3 dimBlock(2, 2, 2);
+    testKernel<<<dimGrid, dimBlock>>>(10);
+    cudaDeviceSynchronize();
 
-  return EXIT_SUCCESS;
+    return EXIT_SUCCESS;
 }