//===----------------------------------------------------------------------===// // // Part of CUDASTF 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) 2022-2024 NVIDIA CORPORATION & AFFILIATES. // //===----------------------------------------------------------------------===// /** * @file * * @brief This example illustrates how we can annotate tasks and logical data with debugging symbol * * CUDASTF_DOT_FILE=axpy.dot build/examples/axpy-annotated * * # Generate the visualization from this dot file in PDF or PNG format * dot -Tpdf axpy.dot -o axpy.pdf * dot -Tpng axpy.dot -o axpy.png * * # Generate visualization with events (for advanced users) * CUDASTF_DOT_IGNORE_PREREQS=0 CUDASTF_DOT_FILE=axpy-with-events.dot build/examples/axpy-annotated * dot -Tpng axpy-with-events.dot -o axpy-with-events.png * */ #include using namespace cuda::experimental::stf; __global__ void axpy(double a, slice x, slice y) { int tid = blockIdx.x * blockDim.x + threadIdx.x; int nthreads = gridDim.x * blockDim.x; for (int i = tid; i < x.size(); i += nthreads) { y(i) += a * x(i); } } double X0(int i) { return sin((double) i); } double Y0(int i) { return cos((double) i); } int main() { context ctx; const size_t N = 16; double X[N], Y[N]; for (size_t i = 0; i < N; i++) { X[i] = X0(i); Y[i] = Y0(i); } double alpha = 3.14; auto lX = ctx.logical_data(X).set_symbol("X"); auto lY = ctx.logical_data(Y).set_symbol("Y"); /* Compute Y = Y + alpha X */ ctx.task(lX.read(), lY.rw()).set_symbol("axpy")->*[&](cudaStream_t s, auto dX, auto dY) { axpy<<<16, 128, 0, s>>>(alpha, dX, dY); }; ctx.finalize(); for (size_t i = 0; i < N; i++) { assert(fabs(Y[i] - (Y0(i) + alpha * X0(i))) < 0.0001); assert(fabs(X[i] - X0(i)) < 0.0001); } }