63 lines
1.3 KiB
Plaintext
63 lines
1.3 KiB
Plaintext
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//===----------------------------------------------------------------------===//
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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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* @brief Example of AXPY kernel implemented with the launch API
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*/
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#include <cuda/experimental/stf.cuh>
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using namespace cuda::experimental::stf;
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double X0(int i)
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{
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return sin((double) i);
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}
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double Y0(int i)
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{
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return cos((double) i);
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}
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int main()
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{
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context ctx;
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const size_t N = 16;
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double X[N], Y[N];
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for (size_t i = 0; i < N; i++)
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{
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X[i] = X0(i);
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Y[i] = Y0(i);
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}
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double alpha = 3.14;
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auto lX = ctx.logical_data(X);
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auto lY = ctx.logical_data(Y);
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/* Compute Y = Y + alpha X */
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ctx.launch(lX.read(), lY.rw())->*[=] _CCCL_DEVICE(auto t, auto dX, auto dY) {
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for (auto ind : t.apply_partition(shape(dX)))
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{
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dY(ind) += alpha * dX(ind);
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}
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};
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ctx.finalize();
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for (size_t i = 0; i < N; i++)
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{
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assert(fabs(Y[i] - (Y0(i) + alpha * X0(i))) < 0.0001);
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assert(fabs(X[i] - X0(i)) < 0.0001);
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}
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}
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