[CCCL] 瘦身 + 补全: 移除 cudax/python/libcudacxx-tests 冗余文件, 新增 c2h 测试助手 + cmake 构建系统 + 8 个 CUDA thrust examples

变更摘要:
- 删除: cudax/ (783 files, 7.2M) — 实验性组件,竞赛不需要
- 删除: python/ (226 files, 2.0M) — Python 绑定,竞赛不需要
- 删除: libcudacxx/{test,benchmarks,codegen,cmake,share} (4432 files, 31M)
  保留: libcudacxx/include/ (1463 headers, cuda::std 编译依赖)
- 新增: c2h/ (27 files) — CUB Catch2 测试辅助头文件,编译 243 个测试必需
- 新增: cmake/ (29 files) — CCCL 原生 CMake 构建系统
- 新增: thrust/examples/cuda/ (7 files) + cpp_integration/ (1 file)
  async_reduce, custom_temporary_allocation, explicit_cuda_stream,
  global_device_vector, range_view, unwrap_pointer, wrap_pointer, device

结果: cccl_upstream 从 74M→35M (瘦身 53%), 核心内容 100% 保留:
  27/27 tuning headers, 78 benchmarks, 243 tests,
  60 thrust examples, 18 CUB examples, 全部编译头文件
This commit is contained in:
muh-bot
2026-08-03 12:39:26 +00:00
parent a2a5dd8f00
commit 24ef6a91b5
5439 changed files with 0 additions and 719516 deletions

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//===----------------------------------------------------------------------===//
//
// Part of CUDASTF in CUDA C++ Core Libraries,
// under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
// SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
/**
* @file
* @brief A transparent multi-GPU implementation of Mandelbrot fractal using parallel_for
*/
#include <cuda/experimental/stf.cuh>
#include <fstream>
#include <iostream>
using namespace cuda::experimental::stf;
int main(int argc, char** argv)
{
context ctx;
// Image dimensions
size_t width = 2000;
size_t height = 1000;
// Complex plane boundaries
double xMin = -2.0;
double xMax = 1.0;
double yMin = -1.5;
double yMax = 1.5;
// Maximum number of iterations
int maxIterations = 256;
// Describe a 2D array of integers of size (width x height)
auto lbuffer = ctx.logical_data(shape_of<slice<int, 2>>(width, height));
cudaEvent_t start, stop;
cuda_safe_call(cudaEventCreate(&start));
cuda_safe_call(cudaEventCreate(&stop));
cuda_safe_call(cudaEventRecord(start, ctx.fence()));
// Compute each pixel
ctx.parallel_for(blocked_partition(), exec_place::all_devices(), lbuffer.shape(), lbuffer.write())
->*[=] _CCCL_DEVICE(size_t x, size_t y, auto buffer) {
// Map pixel coordinates to complex plane
// c = cr + i ci
double cr = x * (xMax - xMin) / width + xMin;
double ci = y * (yMax - yMin) / height + yMin;
// z = zr + i zi
double zr = 0.0;
double zi = 0.0;
int iterations = 0;
// Evaluate depth
while (zr * zr + zi * zi < 4 && iterations < maxIterations)
{
// compute : z = z * z + c;
//
// z = (zr + i zi) (zr + i zi) + cr + i ci
// z = zr zr - zi zi + 2 i zi zr + cr + i ci
// zr = (zr zr - zi zi + cr)
// zi = (2 zi zr + ci)
double zr_prev = zr;
double zi_prev = zi;
zr = zr_prev * zr_prev - zi_prev * zi_prev + cr;
zi = 2.0 * zr_prev * zi_prev + ci;
iterations++;
}
buffer(x, y) = iterations;
};
cuda_safe_call(cudaEventRecord(stop, ctx.fence()));
if (argc > 1)
{
auto fileName = std::string(argv[1]);
// Generate a PPM file from the buffer
ctx.host_launch(lbuffer.read())->*[&](auto buffer) {
std::ofstream imageFile(fileName, std::ios::binary);
if (!imageFile)
{
std::cerr << "Failed to create image file: " << fileName << '\n';
return;
}
imageFile << "P6\n";
imageFile << width << " " << height << "\n";
imageFile << "255\n";
for (size_t y = 0; y < height; y++)
{
for (size_t x = 0; x < width; x++)
{
int iterations = buffer(x, y);
// Convert iterations to RGB values
unsigned char r = (iterations % 8) * 32;
unsigned char g = (iterations % 16) * 16;
unsigned char b = (iterations % 32) * 8;
// Write pixel data to file
imageFile << r << g << b;
}
}
imageFile.close();
std::cout << "Mandelbrot image generated and saved as " << fileName << '\n';
};
}
ctx.finalize();
// Must call this first, see e.g.
// https://stackoverflow.com/questions/6551121/cuda-cudaeventelapsedtime-returns-device-not-ready-error
cuda_safe_call(cudaEventSynchronize(stop));
fprintf(stderr, "Mandelbrot took %.2f ms\n", cuda_try<cudaEventElapsedTime>(start, stop));
}