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This is the release of the CUDA 13.3 samples, which include additions for CUDA Tile C++, and updated CCCL and Python samples.
77 lines
2.9 KiB
Plaintext
77 lines
2.9 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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/*
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* This CUDA Tile C++ sample demonstrates basic usage of tile
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* kernels. This code launches a tile kernel using the triple chevron
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* syntax and passes data between SIMT and Tile code through global
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* device memory. Error checks are performed using `cudaGetLastError`
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* to catch kernel launch issues and `cudaDeviceSynchronize` to catch
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* kernel execution issues.
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*/
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#include "helper_cuda.h"
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__global__ void simtKernel(int* x) {
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printf("Hello, SIMT!\n");
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printf("[SIMT] *x == %i\n", *x);
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*x = 100;
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printf("[SIMT] *x = %i\n\n", *x);
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}
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__tile_global__ void tileKernel(int* x) {
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printf("Hello, Tile!\n");
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printf("[Tile] *x == %i\n", *x);
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*x = 200;
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printf("[Tile] *x = %i\n\n", *x);
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}
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int main() {
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int* d_x = nullptr;
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checkCudaErrors(cudaMalloc(&d_x, sizeof(int)));
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checkCudaErrors(cudaMemset(d_x, 0, sizeof(int)));
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simtKernel<<<1, 1>>>(d_x);
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checkCudaErrors(cudaGetLastError());
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checkCudaErrors(cudaDeviceSynchronize());
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/* launches tile kernel, the threads per block parameter is omitted because it must always be 1. */
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tileKernel<<<1>>>(d_x);
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checkCudaErrors(cudaGetLastError());
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checkCudaErrors(cudaDeviceSynchronize());
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int h_x = 0;
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checkCudaErrors(cudaMemcpy(&h_x, d_x, sizeof(int), cudaMemcpyDeviceToHost));
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checkCudaErrors(cudaFree(d_x));
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printf("Hello, Host!\n");
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printf("[Host] *x == %i\n", h_x);
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}
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