Files
project_6/cccl_upstream/c/parallel.v2/include/cccl/c/reduce.h
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

95 lines
2.7 KiB
C

//===----------------------------------------------------------------------===//
//
// Part of CUDA Experimental in CUDA Core Compute 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.
//
//===----------------------------------------------------------------------===//
#pragma once
// NOLINTBEGIN(modernize-use-using)
#ifndef CCCL_C_EXPERIMENTAL
# error "C exposure is experimental and subject to change. Define CCCL_C_EXPERIMENTAL to acknowledge this notice."
#endif // !CCCL_C_EXPERIMENTAL
#include <cuda.h>
#include <stdint.h>
#include <cccl/c/extern_c.h>
#include <cccl/c/types.h>
CCCL_C_EXTERN_C_BEGIN
typedef struct cccl_device_reduce_build_result_t
{
int cc;
void* payload;
size_t payload_size;
void* jit_compiler; // hostjit::JITCompiler*
void* reduce_fn; // int(*)(void*, size_t*, void*, void*, unsigned long long, void*, void*, void*) — trailing void* is
// the CUstream
uint64_t accumulator_size;
cccl_determinism_t determinism;
} cccl_device_reduce_build_result_t;
// TODO return a union of nvtx/cuda/nvrtc errors or a string?
CCCL_C_API CUresult cccl_device_reduce_build(
cccl_device_reduce_build_result_t* build,
cccl_iterator_t d_in,
cccl_iterator_t d_out,
cccl_op_t op,
cccl_value_t init,
cccl_determinism_t determinism,
int cc_major,
int cc_minor,
const char* cub_path,
const char* thrust_path,
const char* libcudacxx_path,
const char* ctk_path);
// Extended version with build configuration
CCCL_C_API CUresult cccl_device_reduce_build_ex(
cccl_device_reduce_build_result_t* build,
cccl_iterator_t d_in,
cccl_iterator_t d_out,
cccl_op_t op,
cccl_value_t init,
cccl_determinism_t determinism,
int cc_major,
int cc_minor,
const char* cub_path,
const char* thrust_path,
const char* libcudacxx_path,
const char* ctk_path,
cccl_build_config* config);
CCCL_C_API CUresult cccl_device_reduce(
cccl_device_reduce_build_result_t build,
void* d_temp_storage,
size_t* temp_storage_bytes,
cccl_iterator_t d_in,
cccl_iterator_t d_out,
uint64_t num_items,
cccl_op_t op,
cccl_value_t init,
CUstream stream);
CCCL_C_API CUresult cccl_device_reduce_nondeterministic(
cccl_device_reduce_build_result_t build,
void* d_temp_storage,
size_t* temp_storage_bytes,
cccl_iterator_t d_in,
cccl_iterator_t d_out,
uint64_t num_items,
cccl_op_t op,
cccl_value_t init,
CUstream stream);
CCCL_C_API CUresult cccl_device_reduce_cleanup(cccl_device_reduce_build_result_t* bld_ptr);
CCCL_C_EXTERN_C_END
// NOLINTEND(modernize-use-using)