Files
project_6/cccl_upstream/c/parallel/include/cccl/c/histogram.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

141 lines
4.5 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) 2025 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
#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 <stdbool.h>
#include <stdint.h>
#include <cccl/c/extern_c.h>
#include <cccl/c/types.h>
CCCL_C_EXTERN_C_BEGIN
typedef struct cccl_device_histogram_build_result_t
{
int cc;
void* payload;
size_t payload_size;
cccl_payload_kind_t payload_kind;
CUlibrary library;
cccl_type_info counter_type;
cccl_type_info level_type;
cccl_type_info sample_type;
int num_active_channels;
bool may_overflow;
CUkernel init_kernel;
CUkernel sweep_kernel;
void* runtime_policy;
size_t runtime_policy_size;
char* init_kernel_lowered_name;
char* sweep_kernel_lowered_name;
} cccl_device_histogram_build_result_t;
CCCL_C_API CUresult cccl_device_histogram_build(
cccl_device_histogram_build_result_t* build,
int num_channels,
int num_active_channels,
cccl_iterator_t d_samples,
int num_output_levels_val,
cccl_iterator_t d_output_histograms,
cccl_type_info level_type,
int64_t num_rows,
int64_t row_stride_samples,
bool is_evenly_segmented,
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_histogram_build_ex(
cccl_device_histogram_build_result_t* build,
int num_channels,
int num_active_channels,
cccl_iterator_t d_samples,
int num_output_levels_val,
cccl_iterator_t d_output_histograms,
cccl_type_info level_type,
int64_t num_rows,
int64_t row_stride_samples,
bool is_evenly_segmented,
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_histogram_compile(
cccl_device_histogram_build_result_t* build,
int num_channels,
int num_active_channels,
cccl_iterator_t d_samples,
int num_output_levels_val,
cccl_iterator_t d_output_histograms,
cccl_type_info level_type,
int64_t num_rows,
int64_t row_stride_samples,
bool is_evenly_segmented,
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_histogram_load(cccl_device_histogram_build_result_t* build);
CCCL_C_API CUresult cccl_device_histogram_even(
cccl_device_histogram_build_result_t build,
void* d_temp_storage,
size_t* temp_storage_bytes,
cccl_iterator_t d_samples,
cccl_iterator_t d_output_histograms,
cccl_value_t num_output_levels,
cccl_value_t lower_level,
cccl_value_t upper_level,
int64_t num_row_pixels,
int64_t num_rows,
int64_t row_stride_samples,
CUstream stream);
CCCL_C_API CUresult cccl_device_histogram_link_ltoir(
cccl_device_histogram_build_result_t* build, const void** input_blobs, const size_t* input_sizes, size_t num_inputs);
// Serializes a populated build_result into a self-describing byte buffer.
// On success *out_buf points to a heap allocation that the caller must free
// with cccl_serialization_buffer_free, and *out_size holds its length. The build_result
// itself is not modified. CUlibrary/CUkernel handles are not serialized.
CCCL_C_API CUresult
cccl_device_histogram_serialize(const cccl_device_histogram_build_result_t* build, void** out_buf, size_t* out_size);
// Reconstructs a build_result from a buffer produced by cccl_device_histogram_serialize.
// On success build is populated as if by compile(); CUlibrary/CUkernel handles
// remain null until cccl_device_histogram_load is called. On failure build is
// left unchanged and a non-success CUresult is returned.
CCCL_C_API CUresult
cccl_device_histogram_deserialize(cccl_device_histogram_build_result_t* build, const void* buf, size_t size);
CCCL_C_API CUresult cccl_device_histogram_cleanup(cccl_device_histogram_build_result_t* bld_ptr);
CCCL_C_EXTERN_C_END
// NOLINTEND(modernize-use-using)