56fd68e7dd
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
80 lines
2.5 KiB
Plaintext
80 lines
2.5 KiB
Plaintext
//===----------------------------------------------------------------------===//
|
|
//
|
|
// Part of CUDA Experimental 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.
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#include <cuda/devices>
|
|
#include <cuda/hierarchy>
|
|
#include <cuda/launch>
|
|
#include <cuda/std/type_traits>
|
|
#include <cuda/stream>
|
|
|
|
#include <cuda/experimental/group.cuh>
|
|
|
|
#include "group_testing.cuh"
|
|
|
|
namespace
|
|
{
|
|
template <template <class> class GroupTempl, class Level, class Config>
|
|
__device__ void test_make_this_group(const Level& level, const Config& config)
|
|
{
|
|
// Test default construction.
|
|
{
|
|
static_assert(
|
|
cuda::std::is_same_v<GroupTempl<cudax::__implicit_hierarchy_t>, decltype(cudax::make_this_group(level))>);
|
|
static_assert(noexcept(cudax::make_this_group(level)));
|
|
|
|
auto group = cudax::make_this_group(level);
|
|
group.sync();
|
|
}
|
|
|
|
// Test construction from hierarchy-like.
|
|
{
|
|
using Hierarchy = typename Config::hierarchy_type;
|
|
|
|
static_assert(cuda::std::is_same_v<GroupTempl<Hierarchy>, decltype(cudax::make_this_group(level, config))>);
|
|
static_assert(noexcept(cudax::make_this_group(level, config)));
|
|
|
|
auto group = cudax::make_this_group(level, config);
|
|
group.sync();
|
|
}
|
|
}
|
|
|
|
struct TestKernel
|
|
{
|
|
template <class Config>
|
|
__device__ void operator()(const Config& config)
|
|
{
|
|
test_make_this_group<cudax::this_thread>(cuda::gpu_thread, config);
|
|
test_make_this_group<cudax::this_warp>(cuda::warp, config);
|
|
test_make_this_group<cudax::this_block>(cuda::block, config);
|
|
test_make_this_group<cudax::this_cluster>(cuda::cluster, config);
|
|
test_make_this_group<cudax::this_grid>(cuda::grid, config);
|
|
}
|
|
};
|
|
} // namespace
|
|
|
|
C2H_TEST("Make this group", "[group]")
|
|
{
|
|
const auto device = cuda::devices[0];
|
|
|
|
const cuda::stream stream{device};
|
|
|
|
const auto config = cuda::make_config(cuda::grid_dims<2>(), cuda::block_dims<128>(), cuda::cooperative_launch{});
|
|
cuda::launch(stream, config, TestKernel{});
|
|
|
|
if (cuda::device_attributes::compute_capability(device) >= cuda::compute_capability{90})
|
|
{
|
|
const auto config_cluster = cuda::make_config(
|
|
cuda::grid_dims<2>(), cuda::cluster_dims<3>(), cuda::block_dims<128>(), cuda::cooperative_launch{});
|
|
cuda::launch(stream, config_cluster, TestKernel{});
|
|
}
|
|
|
|
stream.sync();
|
|
}
|