/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * Neither the name of NVIDIA CORPORATION nor the names of its * contributors may be used to endorse or promote products derived * from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY * OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ // System includes #include #include // CUDA runtime #include // helper functions and utilities to work with CUDA #include #include #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); } 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); // Get GPU information checkCudaErrors(cudaGetDevice(&devID)); checkCudaErrors(cudaGetDeviceProperties(&props, devID)); printf("Device %d: \"%s\" with Compute %d.%d capability\n", devID, props.name, props.major, props.minor); 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<<>>(10); cudaDeviceSynchronize(); return EXIT_SUCCESS; }