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[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

Browse Source 
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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395
cccl_upstream/cudax/test/places/data_place_vmm.cu
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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) 2026 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
/**
* @file
*
* @brief Test that data_place::mem_create() can be used to create VMM-based
* physical memory allocations.
*
* This tests the low-level VMM allocation interface used by localized arrays
* (composite_slice) for creating physical memory segments that are mapped
* into a contiguous virtual address space.
*/
#include <cuda/experimental/__places/places.cuh>
#if _CCCL_CTK_AT_LEAST(12, 4)
# include <cuda/experimental/__places/exec/green_context.cuh>
#endif // _CCCL_CTK_AT_LEAST(12, 4)
#include <cstdio>
using namespace cuda::experimental::places;
__global__ void init_kernel(int* ptr, int n, int value)
{
int tid = blockIdx.x * blockDim.x + threadIdx.x;
if (tid < n)
{
ptr[tid] = value + tid;
}
}
__global__ void check_kernel(int* ptr, int n, int value, int* result)
{
int tid = blockIdx.x * blockDim.x + threadIdx.x;
if (tid < n)
{
if (ptr[tid] != value + tid)
{
atomicExch(result, 1); // Set error flag
}
}
}
// Check if VMM is supported on the current device
bool vmm_supported(int dev_id = 0)
{
CUdevice dev;
cuda_try(cuDeviceGet(&dev, dev_id));
int supportsVMM;
cuda_try(cuDeviceGetAttribute(&supportsVMM, CU_DEVICE_ATTRIBUTE_VIRTUAL_ADDRESS_MANAGEMENT_SUPPORTED, dev));
return supportsVMM == 1;
}
// Get allocation granularity for VMM
size_t get_granularity(int dev_id)
{
CUmemAllocationProp prop = {};
prop.type = CU_MEM_ALLOCATION_TYPE_PINNED;
prop.location.type = CU_MEM_LOCATION_TYPE_DEVICE;
prop.location.id = dev_id;
size_t granularity;
cuda_try(cuMemGetAllocationGranularity(&granularity, &prop, CU_MEM_ALLOC_GRANULARITY_MINIMUM));
return granularity;
}
void test_device_vmm_allocation()
{
printf("Testing device VMM allocation (mem_create)...\n");
int dev_id = 0;
cuda_try(cudaSetDevice(dev_id));
// Get allocation granularity - VMM allocations must be aligned to this
size_t granularity = get_granularity(dev_id);
printf(" Allocation granularity: %zu bytes\n", granularity);
// Allocate at least one granularity unit
const size_t alloc_size = granularity;
const size_t n = alloc_size / sizeof(int);
const int test_value = 42;
// Create physical memory using data_place::mem_create
auto place = data_place::device(dev_id);
CUmemGenericAllocationHandle handle;
CUresult result = place.mem_create(&handle, alloc_size);
EXPECT(result == CUDA_SUCCESS);
// Reserve virtual address space
CUdeviceptr va_ptr;
cuda_try(cuMemAddressReserve(&va_ptr, alloc_size, 0, 0, 0));
// Map the physical allocation to the virtual address
cuda_try(cuMemMap(va_ptr, alloc_size, 0, handle, 0));
// Set access permissions for the current device
CUmemAccessDesc accessDesc = {};
accessDesc.location.type = CU_MEM_LOCATION_TYPE_DEVICE;
accessDesc.location.id = dev_id;
accessDesc.flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE;
cuda_try(cuMemSetAccess(va_ptr, alloc_size, &accessDesc, 1));
// Now we can use the memory!
int* d_ptr = reinterpret_cast<int*>(va_ptr); // NOLINT(performance-no-int-to-ptr)
// Create a stream for operations
cudaStream_t stream;
cuda_try(cudaStreamCreate(&stream));
// Initialize on device
init_kernel<<<(n + 255) / 256, 256, 0, stream>>>(d_ptr, n, test_value);
cuda_try(cudaGetLastError());
// Allocate result flag for checking
int* d_result;
cuda_try(cudaMallocAsync(&d_result, sizeof(int), stream));
cuda_try(cudaMemsetAsync(d_result, 0, sizeof(int), stream));
// Check on device
check_kernel<<<(n + 255) / 256, 256, 0, stream>>>(d_ptr, n, test_value, d_result);
cuda_try(cudaGetLastError());
// Copy result back
int h_result = 0;
cuda_try(cudaMemcpyAsync(&h_result, d_result, sizeof(int), cudaMemcpyDeviceToHost, stream));
cuda_try(cudaStreamSynchronize(stream));
EXPECT(h_result == 0); // No errors
// Cleanup
cuda_try(cudaFreeAsync(d_result, stream));
cuda_try(cudaStreamSynchronize(stream));
cuda_try(cudaStreamDestroy(stream));
// Unmap and release VMM resources
cuda_try(cuMemUnmap(va_ptr, alloc_size));
cuda_try(cuMemRelease(handle));
cuda_try(cuMemAddressFree(va_ptr, alloc_size));
printf(" Device VMM allocation test PASSED\n");
}
// Host VMM requires CU_MEM_LOCATION_TYPE_HOST which is only available in CUDA 12.2+
#if _CCCL_CTK_AT_LEAST(12, 2)
void test_host_vmm_allocation()
{
printf("Testing host VMM allocation (mem_create)...\n");
// Host VMM allocations use CU_MEM_LOCATION_TYPE_HOST
// First check if host VMM is supported (requires appropriate driver/hardware)
// Get host allocation granularity
CUmemAllocationProp prop = {};
prop.type = CU_MEM_ALLOCATION_TYPE_PINNED;
prop.location.type = CU_MEM_LOCATION_TYPE_HOST;
prop.location.id = 0;
size_t granularity;
CUresult gran_result = cuMemGetAllocationGranularity(&granularity, &prop, CU_MEM_ALLOC_GRANULARITY_MINIMUM);
if (gran_result != CUDA_SUCCESS)
{
printf(" Host VMM not supported on this system, skipping.\n");
return;
}
printf(" Host allocation granularity: %zu bytes\n", granularity);
const size_t alloc_size = granularity;
const size_t n = alloc_size / sizeof(int);
// Create physical memory using data_place::mem_create with host place
auto place = data_place::host();
CUmemGenericAllocationHandle handle;
CUresult result = place.mem_create(&handle, alloc_size);
if (result != CUDA_SUCCESS)
{
printf(" Host mem_create not supported (error %d), skipping.\n", result);
return;
}
// Reserve virtual address space
CUdeviceptr va_ptr;
cuda_try(cuMemAddressReserve(&va_ptr, alloc_size, 0, 0, 0));
// Map the physical allocation to the virtual address
cuda_try(cuMemMap(va_ptr, alloc_size, 0, handle, 0));
// Set access permissions for the host
CUmemAccessDesc accessDesc = {};
accessDesc.location.type = CU_MEM_LOCATION_TYPE_HOST;
accessDesc.location.id = 0;
accessDesc.flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE;
cuda_try(cuMemSetAccess(va_ptr, alloc_size, &accessDesc, 1));
// Use the memory from the host
int* ptr = reinterpret_cast<int*>(va_ptr); // NOLINT(performance-no-int-to-ptr)
// Initialize on host
for (size_t i = 0; i < n; i++)
{
ptr[i] = static_cast<int>(i * 2);
}
// Verify on host
for (size_t i = 0; i < n; i++)
{
EXPECT(ptr[i] == static_cast<int>(i * 2));
}
// Cleanup VMM resources
cuda_try(cuMemUnmap(va_ptr, alloc_size));
cuda_try(cuMemRelease(handle));
cuda_try(cuMemAddressFree(va_ptr, alloc_size));
printf(" Host VMM allocation test PASSED\n");
}
#endif // _CCCL_CTK_AT_LEAST(12, 2)
void test_multi_segment_vmm()
{
printf("Testing multi-segment VMM allocation...\n");
int dev_id = 0;
cuda_try(cudaSetDevice(dev_id));
size_t granularity = get_granularity(dev_id);
// Create two segments and map them contiguously
const size_t segment_size = granularity;
const size_t total_size = 2 * segment_size;
const size_t n = total_size / sizeof(int);
const int test_value = 100;
auto place = data_place::device(dev_id);
// Create two physical allocations
CUmemGenericAllocationHandle handle1, handle2;
cuda_try(place.mem_create(&handle1, segment_size));
cuda_try(place.mem_create(&handle2, segment_size));
// Reserve contiguous virtual address space for both
CUdeviceptr va_ptr;
cuda_try(cuMemAddressReserve(&va_ptr, total_size, 0, 0, 0));
// Map both segments contiguously
cuda_try(cuMemMap(va_ptr, segment_size, 0, handle1, 0));
cuda_try(cuMemMap(va_ptr + segment_size, segment_size, 0, handle2, 0));
// Set access for the entire range
CUmemAccessDesc accessDesc = {};
accessDesc.location.type = CU_MEM_LOCATION_TYPE_DEVICE;
accessDesc.location.id = dev_id;
accessDesc.flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE;
cuda_try(cuMemSetAccess(va_ptr, total_size, &accessDesc, 1));
int* d_ptr = reinterpret_cast<int*>(va_ptr); // NOLINT(performance-no-int-to-ptr)
cudaStream_t stream;
cuda_try(cudaStreamCreate(&stream));
// Initialize the entire contiguous range
init_kernel<<<(n + 255) / 256, 256, 0, stream>>>(d_ptr, n, test_value);
cuda_try(cudaGetLastError());
// Check the entire range
int* d_result;
cuda_try(cudaMallocAsync(&d_result, sizeof(int), stream));
cuda_try(cudaMemsetAsync(d_result, 0, sizeof(int), stream));
check_kernel<<<(n + 255) / 256, 256, 0, stream>>>(d_ptr, n, test_value, d_result);
cuda_try(cudaGetLastError());
int h_result = 0;
cuda_try(cudaMemcpyAsync(&h_result, d_result, sizeof(int), cudaMemcpyDeviceToHost, stream));
cuda_try(cudaStreamSynchronize(stream));
EXPECT(h_result == 0);
// Cleanup
cuda_try(cudaFreeAsync(d_result, stream));
cuda_try(cudaStreamSynchronize(stream));
cuda_try(cudaStreamDestroy(stream));
cuda_try(cuMemUnmap(va_ptr, segment_size));
cuda_try(cuMemUnmap(va_ptr + segment_size, segment_size));
cuda_try(cuMemRelease(handle1));
cuda_try(cuMemRelease(handle2));
cuda_try(cuMemAddressFree(va_ptr, total_size));
printf(" Multi-segment VMM allocation test PASSED\n");
}
#if _CCCL_CTK_AT_LEAST(12, 4)
// Green context data places override mem_create() to allocate device-pinned
// physical memory bound to the green context's device. This exercises that
// override end-to-end through the VMM map/access/kernel path.
void test_green_ctx_vmm_allocation()
{
int dev_id = 0;
cuda_try(cudaSetDevice(dev_id));
// Split the device into green contexts (8 SMs each).
green_context_helper gc_helper(8, dev_id);
auto gc_view = gc_helper.get_view(0);
auto place = data_place::green_ctx(gc_view);
size_t granularity = get_granularity(dev_id);
const size_t alloc_size = granularity;
const size_t n = alloc_size / sizeof(int);
const int test_value = 55;
// Create physical memory using the green context data place's mem_create().
CUmemGenericAllocationHandle handle;
CUresult result = place.mem_create(&handle, alloc_size);
EXPECT(result == CUDA_SUCCESS);
// Reserve virtual address space and map the physical allocation into it.
CUdeviceptr va_ptr;
cuda_try(cuMemAddressReserve(&va_ptr, alloc_size, 0, 0, 0));
cuda_try(cuMemMap(va_ptr, alloc_size, 0, handle, 0));
// Green context memory is pinned on the underlying device, so grant device
// access accordingly.
CUmemAccessDesc accessDesc = {};
accessDesc.location.type = CU_MEM_LOCATION_TYPE_DEVICE;
accessDesc.location.id = dev_id;
accessDesc.flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE;
cuda_try(cuMemSetAccess(va_ptr, alloc_size, &accessDesc, 1));
int* d_ptr = reinterpret_cast<int*>(va_ptr); // NOLINT(performance-no-int-to-ptr)
cudaStream_t stream;
cuda_try(cudaStreamCreate(&stream));
init_kernel<<<(n + 255) / 256, 256, 0, stream>>>(d_ptr, n, test_value);
cuda_try(cudaGetLastError());
int* d_result;
cuda_try(cudaMallocAsync(&d_result, sizeof(int), stream));
cuda_try(cudaMemsetAsync(d_result, 0, sizeof(int), stream));
check_kernel<<<(n + 255) / 256, 256, 0, stream>>>(d_ptr, n, test_value, d_result);
cuda_try(cudaGetLastError());
int h_result = 0;
cuda_try(cudaMemcpyAsync(&h_result, d_result, sizeof(int), cudaMemcpyDeviceToHost, stream));
cuda_try(cudaStreamSynchronize(stream));
EXPECT(h_result == 0);
// Cleanup
cuda_try(cudaFreeAsync(d_result, stream));
cuda_try(cudaStreamSynchronize(stream));
cuda_try(cudaStreamDestroy(stream));
cuda_try(cuMemUnmap(va_ptr, alloc_size));
cuda_try(cuMemRelease(handle));
cuda_try(cuMemAddressFree(va_ptr, alloc_size));
}
#endif // _CCCL_CTK_AT_LEAST(12, 4)
int main()
{
printf("=== Testing data_place VMM allocation (mem_create) ===\n\n");
// Initialize CUDA driver API
cuda_try(cuInit(0));
// Check VMM support
if (!vmm_supported())
{
printf("VMM not supported on this device, skipping tests.\n");
return 0;
}
test_device_vmm_allocation();
#if _CCCL_CTK_AT_LEAST(12, 2)
test_host_vmm_allocation();
#endif // _CCCL_CTK_AT_LEAST(12, 2)
test_multi_segment_vmm();
#if _CCCL_CTK_AT_LEAST(12, 4)
test_green_ctx_vmm_allocation();
#endif // _CCCL_CTK_AT_LEAST(12, 4)
printf("\n=== All VMM tests PASSED ===\n");
return 0;
}