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5443602d89
Release 13.4 of the CUDA Samples supported by CUDA Toolkit 13.4. See Changelog for more information.
76 lines
3.1 KiB
Plaintext
76 lines
3.1 KiB
Plaintext
/* Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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// System includes
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#include <assert.h>
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#include <stdio.h>
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// CUDA runtime
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#include <cuda_runtime.h>
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#ifndef MAX
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#define MAX(a, b) (a > b ? a : b)
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#endif
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// Each thread calls device-side printf, printing its linear block index, its
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// linear thread index, and val. Output is flushed on host sync; line order is
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// not deterministic since blocks/threads run concurrently.
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__global__ void simplePrintfKernel(int val)
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{
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printf("[%d, %d]:\t\tValue is:%d\n",
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blockIdx.y * gridDim.x + blockIdx.x, // linear block index
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threadIdx.z * blockDim.x * blockDim.y + threadIdx.y * blockDim.x + threadIdx.x, // linear thread index
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val);
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}
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int main(int argc, char **argv)
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{
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// Select device 0 as the active GPU
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int devID = 0;
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cudaSetDevice(devID);
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// Query compute capability (major.minor) and number of SMs on the device
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int major = 0, minor = 0, smCount = 0;
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cudaDeviceGetAttribute(&major, cudaDevAttrComputeCapabilityMajor, devID);
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cudaDeviceGetAttribute(&minor, cudaDevAttrComputeCapabilityMinor, devID);
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cudaDeviceGetAttribute(&smCount, cudaDevAttrMultiProcessorCount, devID);
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// Print device info
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printf("GPU Device %d: with compute capability %d.%d and Number of SMs %d\n\n", devID, major, minor, smCount);
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printf("printf() is called. Output:\n\n");
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// Kernel configuration, where a two-dimensional grid and
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// three-dimensional blocks are configured.
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dim3 dimGrid(2, 2);
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dim3 dimBlock(2, 2, 2);
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simplePrintfKernel<<<dimGrid, dimBlock>>>(10);
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cudaDeviceSynchronize();
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return EXIT_SUCCESS;
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}
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