dedf08166a
Added 863 files from NVIDIA/cccl sparse checkout: - c2h/ (27 files): Catch2 test helpers — generators, validators, runner - nvbench_helper/ (10 files): Benchmark harness utilities - cmake/ (29 files): CMake presets and build helpers - cudax/ (794 files): Experimental CUDA extensions - AGENTS.md: NVIDIA's official AI agent instructions for CCCL - CMakePresets.json: Standardized build configurations - cccl-version.json: Version tracking Also added CCCL_ASSET_MAP.md mapping all 4295 CCCL files to competition value and PRD items. cccl_upstream now covers 100% of competition-critical assets: - 27 tuning headers (SM80/90/100 benchmark data) - 32 dispatch headers (algorithm implementations) - 60 Thrust examples (correctness verification) - 217 CUB Catch2 tests (regression matrix) - 153 CUB benchmarks (parameter space search) - 18 CUB examples (API verification) - 27 test helpers + benchmark harness - 794 cudax experimental extensions
103 lines
3.4 KiB
Plaintext
103 lines
3.4 KiB
Plaintext
//===----------------------------------------------------------------------===//
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//
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// Part of CUDA Experimental in CUDA C++ Core Libraries,
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// under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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// SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#include <cuda/barrier>
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#include <cuda/devices>
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#include <cuda/hierarchy>
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#include <cuda/launch>
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#include <cuda/std/cstddef>
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#include <cuda/std/type_traits>
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#include <cuda/stream>
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#include <cuda/experimental/group.cuh>
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#include "group_testing.cuh"
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namespace
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{
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template <class Level, class Config>
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__device__ void test_level_synchronizer(const Level& level, Config config)
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{
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const auto& hierarchy = config.hierarchy();
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using Synchronizer = cudax::level_synchronizer;
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static_assert(cuda::std::is_empty_v<Synchronizer>);
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// Test default constructor.
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static_assert(cuda::std::is_trivially_default_constructible_v<Synchronizer>);
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// Test __synchronizer_instance<Level>
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{
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using MappingResult = cudax::__this_mapping_result<Level>;
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using SynchronizerInstance = typename Synchronizer::template __synchronizer_instance<Level>;
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MappingResult mapping_result{};
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Synchronizer synchronizer{};
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// Test default constructor.
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static_assert(cuda::std::is_nothrow_default_constructible_v<SynchronizerInstance>);
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SynchronizerInstance synchronizer_instance{};
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// Test do_sync(...).
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static_assert(
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cuda::std::is_same_v<void, decltype(synchronizer_instance.do_sync(mapping_result, synchronizer, hierarchy))>);
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static_assert(noexcept(synchronizer_instance.do_sync(mapping_result, synchronizer, hierarchy)));
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synchronizer_instance.do_sync(mapping_result, synchronizer, hierarchy);
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// Test do_sync_aligned(...).
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static_assert(
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cuda::std::is_same_v<void,
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decltype(synchronizer_instance.do_sync_aligned(mapping_result, synchronizer, hierarchy))>);
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static_assert(noexcept(synchronizer_instance.do_sync_aligned(mapping_result, synchronizer, hierarchy)));
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synchronizer_instance.do_sync_aligned(mapping_result, synchronizer, hierarchy);
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}
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}
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struct TestKernel
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{
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template <class Config>
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__device__ void operator()(const Config& config)
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{
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test_level_synchronizer(cuda::gpu_thread, config);
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test_level_synchronizer(cuda::warp, config);
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test_level_synchronizer(cuda::block, config);
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test_level_synchronizer(cuda::cluster, config);
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test_level_synchronizer(cuda::grid, config);
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}
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};
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} // namespace
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C2H_TEST("Level synchronizer", "[group]")
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{
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const auto device = cuda::devices[0];
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const cuda::stream stream{device};
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{
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const auto config = cuda::make_config(cuda::grid_dims<8>(), cuda::block_dims<8, 16>(), cuda::cooperative_launch{});
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cuda::launch(stream, config, TestKernel{});
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}
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{
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const auto config =
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cuda::make_config(cuda::grid_dims<8>(), cuda::block_dims(dim3{8, 16}), cuda::cooperative_launch{});
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cuda::launch(stream, config, TestKernel{});
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}
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if (cuda::device_attributes::compute_capability_major(device) >= 9)
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{
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const auto config = cuda::make_config(
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cuda::grid_dims<8>(), cuda::cluster_dims<4>(), cuda::block_dims(dim3{8, 16}), cuda::cooperative_launch{});
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cuda::launch(stream, config, TestKernel{});
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}
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stream.sync();
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}
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