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
53 lines
1.5 KiB
Plaintext
53 lines
1.5 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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/**
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* @file
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*
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* @brief Approximate pi using Monte Carlo method
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*
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*/
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#include <cuda/experimental/stf.cuh>
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#include <curand_kernel.h>
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#include <stdio.h>
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using namespace cuda::experimental::stf;
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int main(int, char**)
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{
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context ctx;
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auto lsum = ctx.logical_data(shape_of<scalar_view<size_t>>());
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size_t N = 1000000;
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ctx.parallel_for(box(N), lsum.reduce(reducer::sum<size_t>{}))->*[] __device__(size_t i, auto& sum) {
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curandState local_state;
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curand_init(1234, i, 0, &local_state);
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double x = curand_uniform_double(&local_state); // Random x in [0, 1)
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double y = curand_uniform_double(&local_state); // Random y in [0, 1)
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// Count (x,y) coordinates which are within the unit circle
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if (x * x + y * y <= 1.0)
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{
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sum++;
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}
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};
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// We get the ratio of "shots" within the unit circle and the total number of
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// "shots". The surface of the quarter of unit circle [0, 1) x [0, 1) is pi/4
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auto res = ctx.wait(lsum);
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double pi_val = (4.0 * res) / N;
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ctx.finalize();
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_CCCL_ASSERT(fabs(pi_val - 3.1415) < 0.1, "Invalid result");
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}
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