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
52 lines
1.4 KiB
Plaintext
52 lines
1.4 KiB
Plaintext
//===----------------------------------------------------------------------===//
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//
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// Part of CUDASTF 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) 2022-2024 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#include <cuda/experimental/__stf/stream/interfaces/slice_reduction_ops.cuh>
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#include <cuda/experimental/__stf/stream/stream_ctx.cuh>
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using namespace cuda::experimental::stf;
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__global__ void add(int* ptr)
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{
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*ptr = *ptr + 1;
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}
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int main()
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{
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stream_ctx ctx;
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auto redux_op = std::make_shared<slice_reduction_op_sum<int>>();
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int a = 17;
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auto handle = ctx.logical_data(make_slice(&a, 1));
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int ndevs;
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cuda_safe_call(cudaGetDeviceCount(&ndevs));
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int K = 1024;
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for (int i = 0; i < K; i++)
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{
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// Increment the variable by 1
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ctx.task(exec_place::device(i % ndevs), handle.relaxed(redux_op))->*[](auto stream, auto s) {
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add<<<1, 1, 0, stream>>>(s.data_handle());
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};
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}
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// Total value should be initial value + K
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ctx.task(exec_place::host(), handle.read())->*[&](auto stream, auto s) {
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cuda_safe_call(cudaStreamSynchronize(stream));
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EXPECT(s(0) == 17 + K);
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// printf("VALUE %d expected %d\n", s(0), 17 + K);
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};
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ctx.finalize();
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}
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