Release v13.3 of the CUDA samples with CUDA 13.3 Toolkit (#435)

This is the release of the CUDA 13.3 samples, which include additions for CUDA Tile C++, and updated CCCL and Python samples.

cpp/9_CUDA_Tile/helloTile/CMakeLists.txt

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+cmake_minimum_required(VERSION 3.20)
+
+list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/Modules")
+
+project(helloTile LANGUAGES C CXX CUDA)
+
+find_package(CUDAToolkit REQUIRED)
+
+set(CMAKE_CUDA_ARCHITECTURES 80 86 87 89 90 100 110 120)
+
+set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --enable-tile")
+
+if(ENABLE_CUDA_DEBUG)
+    set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -G")
+else()
+    set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -lineinfo") # add line information to all builds for debug tools (exclusive to -G option)
+endif()
+
+# Include directories and libraries
+include_directories(../../../Common)
+
+# Source file
+add_executable(helloTile helloTile.cu)
+
+target_compile_features(helloTile PRIVATE cxx_std_20 cuda_std_20)
+
+# Include installation configuration
+include(${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/InstallSamples.cmake)
+setup_samples_install()

cpp/9_CUDA_Tile/helloTile/README.md

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+# helloTile
+
+## Description
+
+This CUDA Tile C++ sample demonstrates basic usage of tile
+kernels. This code launches a tile kernel using the triple chevron
+syntax and passes data between SIMT and Tile code through global
+device memory.
+
+Error checks are performed using `cudaGetLastError` to catch kernel launch issues and `cudaDeviceSynchronize` to catch kernel execution issues.
+
+## Expected Output
+
+```
+Hello, SIMT!
+[SIMT] *x == 0
+[SIMT] *x = 100
+
+Hello, Tile!
+[Tile] *x == 100
+[Tile] *x = 200
+
+Hello, Host!
+[Host] *x == 200
+```
+
+## Prerequisites
+
+- [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) version 13.3 or later.
+- [CUDA Driver](https://www.nvidia.com/en-us/drivers/) version 580 or later.
+- Host compiler with C++20 support.

cpp/9_CUDA_Tile/helloTile/helloTile.cu

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+/* Copyright (c) 2026, 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.
+ */
+
+/*
+ * This CUDA Tile C++ sample demonstrates basic usage of tile
+ * kernels. This code launches a tile kernel using the triple chevron
+ * syntax and passes data between SIMT and Tile code through global
+ * device memory.  Error checks are performed using `cudaGetLastError`
+ * to catch kernel launch issues and `cudaDeviceSynchronize` to catch
+ * kernel execution issues.
+ */
+
+#include "helper_cuda.h"
+
+__global__ void simtKernel(int* x) {
+  printf("Hello, SIMT!\n");
+  printf("[SIMT] *x == %i\n", *x);
+
+  *x = 100;
+  printf("[SIMT] *x = %i\n\n", *x);
+}
+
+__tile_global__ void tileKernel(int* x) {
+  printf("Hello, Tile!\n");
+  printf("[Tile] *x == %i\n", *x);
+
+  *x = 200;
+  printf("[Tile] *x = %i\n\n", *x);
+}
+
+int main() {
+  int* d_x = nullptr;
+
+  checkCudaErrors(cudaMalloc(&d_x, sizeof(int)));
+  checkCudaErrors(cudaMemset(d_x, 0, sizeof(int)));
+
+  simtKernel<<<1, 1>>>(d_x);
+  checkCudaErrors(cudaGetLastError());
+  checkCudaErrors(cudaDeviceSynchronize());
+
+  /* launches tile kernel, the threads per block parameter is omitted because it must always be 1. */
+  tileKernel<<<1>>>(d_x);
+  checkCudaErrors(cudaGetLastError());
+  checkCudaErrors(cudaDeviceSynchronize());
+
+  int h_x = 0;
+  checkCudaErrors(cudaMemcpy(&h_x, d_x, sizeof(int), cudaMemcpyDeviceToHost));
+  checkCudaErrors(cudaFree(d_x));
+
+  printf("Hello, Host!\n");
+  printf("[Host] *x == %i\n", h_x);
+}