/*
 * Copyright 1993-2009 NVIDIA Corporation.  All rights reserved.
 *
 * NVIDIA Corporation and its licensors retain all intellectual property and 
 * proprietary rights in and to this software and related documentation and 
 * any modifications thereto.  Any use, reproduction, disclosure, or distribution 
 * of this software and related documentation without an express license 
 * agreement from NVIDIA Corporation is strictly prohibited.
 * 
 */
/* This sample queries the properties of the CUDA devices present in the system via CUDA Runtime API. */

// includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>


#include <cuda.h>
#include <cuda_runtime_api.h>

// includes, project
#include <cutil.h>

////////////////////////////////////////////////////////////////////////////////
// Program main
////////////////////////////////////////////////////////////////////////////////
int
main( int argc, char** argv) 
{
    printf("CUDA Device Query (Runtime API) version (CUDART static linking)\n");

    int deviceCount;

    cudaGetDeviceCount(&deviceCount);

    // This function call returns 0 if there are no CUDA capable devices.
    if (deviceCount == 0)
        printf("There is no device supporting CUDA\n");
    int dev;
    for (dev = 0; dev < deviceCount; ++dev) {
        cudaDeviceProp deviceProp;
        cudaGetDeviceProperties(&deviceProp, dev);

        if (dev == 0) {
			// This function call returns 9999 for both major & minor fields, if no CUDA capable devices are present
            if (deviceProp.major == 9999 && deviceProp.minor == 9999)
                printf("There is no device supporting CUDA.\n");
            else if (deviceCount == 1)
                printf("There is 1 device supporting CUDA\n");
            else
                printf("There are %d devices supporting CUDA\n", deviceCount);
        }
        printf("\nDevice %d: \"%s\"\n", dev, deviceProp.name);
    #if CUDART_VERSION >= 2020
		int driverVersion = 0, runtimeVersion = 0;
		cudaDriverGetVersion(&driverVersion);
		printf("  CUDA Driver Version:                           %d.%d\n", driverVersion/1000, driverVersion%100);
		cudaRuntimeGetVersion(&runtimeVersion);
		printf("  CUDA Runtime Version:                          %d.%d\n", runtimeVersion/1000, runtimeVersion%100);
    #endif

        printf("  CUDA Capability Major revision number:         %d\n", deviceProp.major);
        printf("  CUDA Capability Minor revision number:         %d\n", deviceProp.minor);

		printf("  Total amount of global memory:                 %u bytes\n", deviceProp.totalGlobalMem);
    #if CUDART_VERSION >= 2000
        printf("  Number of multiprocessors:                     %d\n", deviceProp.multiProcessorCount);
        printf("  Number of cores:                               %d\n", 8 * deviceProp.multiProcessorCount);
    #endif
        printf("  Total amount of constant memory:               %u bytes\n", deviceProp.totalConstMem); 
        printf("  Total amount of shared memory per block:       %u bytes\n", deviceProp.sharedMemPerBlock);
        printf("  Total number of registers available per block: %d\n", deviceProp.regsPerBlock);
        printf("  Warp size:                                     %d\n", deviceProp.warpSize);
        printf("  Maximum number of threads per block:           %d\n", deviceProp.maxThreadsPerBlock);
        printf("  Maximum sizes of each dimension of a block:    %d x %d x %d\n",
               deviceProp.maxThreadsDim[0],
               deviceProp.maxThreadsDim[1],
               deviceProp.maxThreadsDim[2]);
        printf("  Maximum sizes of each dimension of a grid:     %d x %d x %d\n",
               deviceProp.maxGridSize[0],
               deviceProp.maxGridSize[1],
               deviceProp.maxGridSize[2]);
        printf("  Maximum memory pitch:                          %u bytes\n", deviceProp.memPitch);
        printf("  Texture alignment:                             %u bytes\n", deviceProp.textureAlignment);
        printf("  Clock rate:                                    %.2f GHz\n", deviceProp.clockRate * 1e-6f);
    #if CUDART_VERSION >= 2000
        printf("  Concurrent copy and execution:                 %s\n", deviceProp.deviceOverlap ? "Yes" : "No");
    #endif
    #if CUDART_VERSION >= 2020
        printf("  Run time limit on kernels:                     %s\n", deviceProp.kernelExecTimeoutEnabled ? "Yes" : "No");
        printf("  Integrated:                                    %s\n", deviceProp.integrated ? "Yes" : "No");
        printf("  Support host page-locked memory mapping:       %s\n", deviceProp.canMapHostMemory ? "Yes" : "No");
        printf("  Compute mode:                                  %s\n", deviceProp.computeMode == cudaComputeModeDefault ?
			                                                            "Default (multiple host threads can use this device simultaneously)" :
		                                                                deviceProp.computeMode == cudaComputeModeExclusive ?
																		"Exclusive (only one host thread at a time can use this device)" :
		                                                                deviceProp.computeMode == cudaComputeModeProhibited ?
																		"Prohibited (no host thread can use this device)" :
																		"Unknown");
    #endif
}
    printf("\nTest PASSED\n");

    CUT_EXIT(argc, argv);
}