Files
project_6/cccl_upstream/cub/examples/device/example_device_reduce.cu
EngineX CI 56fd68e7dd [INFRA] Import NVIDIA/CCCL upstream as optimization reference library
CCCL (CUDA C++ Core Libraries) provides:
- CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk)
- Thrust: high-level parallel algorithms (transform_reduce, sort, scan)
- libcudacxx: CUDA C++ standard library (atomics, barriers, memory)
- cudax: experimental features (memory resources, allocators)
- Tuning policies: per-SM hardware-specific algorithm parameters

Competition optimization vectors mapped to CCCL:
- Output TPS (83% weight): warp_reduce, block_reduce, device_topk
- Input TPS (14% weight): device_scan, block_load, prefetch
- Cache TPS (3% weight): prefix caching strategy patterns
- Memory (0.9 util): pooled/cached/buddy allocators

Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only)
License: Apache-2.0
2026-07-30 09:35:51 +00:00

165 lines
4.0 KiB
Plaintext

// SPDX-FileCopyrightText: Copyright (c) 2011, Duane Merrill. All rights reserved.
// SPDX-FileCopyrightText: Copyright (c) 2011-2018, NVIDIA CORPORATION. All rights reserved.
// SPDX-License-Identifier: BSD-3
/******************************************************************************
* Simple example of DeviceReduce::Sum().
*
* Sums an array of int keys.
*
* To compile using the command line:
* nvcc -arch=sm_XX example_device_reduce.cu -I../.. -lcudart -O3
*
******************************************************************************/
// Ensure printing of CUDA runtime errors to console
#define CUB_STDERR
#include <cub/device/device_reduce.cuh>
#include <cub/util_allocator.cuh>
#include <cstdio>
#include "../../test/test_util.h"
using namespace cub;
//---------------------------------------------------------------------
// Globals, constants and aliases
//---------------------------------------------------------------------
bool g_verbose = false; // Whether to display input/output to console
CachingDeviceAllocator g_allocator(true); // Caching allocator for device memory
//---------------------------------------------------------------------
// Test generation
//---------------------------------------------------------------------
/**
* Initialize problem
*/
void Initialize(int* h_in, int num_items)
{
for (int i = 0; i < num_items; ++i)
{
h_in[i] = i;
}
if (g_verbose)
{
printf("Input:\n");
DisplayResults(h_in, num_items);
printf("\n\n");
}
}
/**
* Compute solution
*/
void Solve(int* h_in, int& h_reference, int num_items)
{
for (int i = 0; i < num_items; ++i)
{
if (i == 0)
{
h_reference = h_in[0];
}
else
{
h_reference += h_in[i];
}
}
}
//---------------------------------------------------------------------
// Main
//---------------------------------------------------------------------
/**
* Main
*/
int main(int argc, char** argv)
{
int num_items = 150;
// Initialize command line
CommandLineArgs args(argc, argv);
g_verbose = args.CheckCmdLineFlag("v");
args.GetCmdLineArgument("n", num_items);
// Print usage
if (args.CheckCmdLineFlag("help"))
{
printf("%s "
"[--n=<input items> "
"[--device=<device-id>] "
"[--v] "
"\n",
argv[0]);
exit(0);
}
// Initialize device
CubDebugExit(args.DeviceInit());
printf("cub::DeviceReduce::Sum() %d items (%d-byte elements)\n", num_items, (int) sizeof(int));
fflush(stdout);
// Allocate host arrays
int* h_in = new int[num_items];
int h_reference{};
// Initialize problem and solution
Initialize(h_in, num_items);
Solve(h_in, h_reference, num_items);
// Allocate problem device arrays
int* d_in = nullptr;
CubDebugExit(g_allocator.DeviceAllocate((void**) &d_in, sizeof(int) * num_items));
// Initialize device input
CubDebugExit(cudaMemcpy(d_in, h_in, sizeof(int) * num_items, cudaMemcpyHostToDevice));
// Allocate device output array
int* d_out = nullptr;
CubDebugExit(g_allocator.DeviceAllocate((void**) &d_out, sizeof(int) * 1));
// example-begin temp-storage-query
// Request and allocate temporary storage
void* d_temp_storage = nullptr;
size_t temp_storage_bytes = 0;
CubDebugExit(DeviceReduce::Sum(d_temp_storage, temp_storage_bytes, d_in, d_out, num_items));
CubDebugExit(g_allocator.DeviceAllocate(&d_temp_storage, temp_storage_bytes));
// Run
CubDebugExit(DeviceReduce::Sum(d_temp_storage, temp_storage_bytes, d_in, d_out, num_items));
// example-end temp-storage-query
// Check for correctness (and display results, if specified)
int compare = CompareDeviceResults(&h_reference, d_out, 1, g_verbose, g_verbose);
printf("\t%s", compare ? "FAIL" : "PASS");
AssertEquals(0, compare);
// Cleanup
if (h_in)
{
delete[] h_in;
}
if (d_in)
{
CubDebugExit(g_allocator.DeviceFree(d_in));
}
if (d_out)
{
CubDebugExit(g_allocator.DeviceFree(d_out));
}
if (d_temp_storage)
{
CubDebugExit(g_allocator.DeviceFree(d_temp_storage));
}
printf("\n\n");
return 0;
}