diff options
Diffstat (limited to 'src/boost/libs/fiber/examples/cuda/single_stream.cu')
-rw-r--r-- | src/boost/libs/fiber/examples/cuda/single_stream.cu | 96 |
1 files changed, 96 insertions, 0 deletions
diff --git a/src/boost/libs/fiber/examples/cuda/single_stream.cu b/src/boost/libs/fiber/examples/cuda/single_stream.cu new file mode 100644 index 00000000..79f398a1 --- /dev/null +++ b/src/boost/libs/fiber/examples/cuda/single_stream.cu @@ -0,0 +1,96 @@ + +// Copyright Oliver Kowalke 2017. +// Distributed under the Boost Software License, Version 1.0. +// (See accompanying file LICENSE_1_0.txt or copy at +// http://www.boost.org/LICENSE_1_0.txt) + +#include <chrono> +#include <cstdlib> +#include <iostream> +#include <memory> +#include <random> +#include <tuple> + +#include <cuda.h> + +#include <boost/assert.hpp> +#include <boost/bind.hpp> +#include <boost/intrusive_ptr.hpp> + +#include <boost/fiber/all.hpp> +#include <boost/fiber/cuda/waitfor.hpp> + +__global__ +void vector_add( int * a, int * b, int * c, int size) { + int idx = threadIdx.x + blockIdx.x * blockDim.x; + if ( idx < size) { + c[idx] = a[idx] + b[idx]; + } +} + +int main() { + try { + bool done = false; + boost::fibers::fiber f1([&done]{ + std::cout << "f1: entered" << std::endl; + try { + cudaStream_t stream; + cudaStreamCreate( & stream); + int size = 1024 * 1024; + int full_size = 20 * size; + int * host_a, * host_b, * host_c; + cudaHostAlloc( & host_a, full_size * sizeof( int), cudaHostAllocDefault); + cudaHostAlloc( & host_b, full_size * sizeof( int), cudaHostAllocDefault); + cudaHostAlloc( & host_c, full_size * sizeof( int), cudaHostAllocDefault); + int * dev_a, * dev_b, * dev_c; + cudaMalloc( & dev_a, size * sizeof( int) ); + cudaMalloc( & dev_b, size * sizeof( int) ); + cudaMalloc( & dev_c, size * sizeof( int) ); + std::minstd_rand generator; + std::uniform_int_distribution<> distribution(1, 6); + for ( int i = 0; i < full_size; ++i) { + host_a[i] = distribution( generator); + host_b[i] = distribution( generator); + } + for ( int i = 0; i < full_size; i += size) { + cudaMemcpyAsync( dev_a, host_a + i, size * sizeof( int), cudaMemcpyHostToDevice, stream); + cudaMemcpyAsync( dev_b, host_b + i, size * sizeof( int), cudaMemcpyHostToDevice, stream); + vector_add<<< size / 256, 256, 0, stream >>>( dev_a, dev_b, dev_c, size); + cudaMemcpyAsync( host_c + i, dev_c, size * sizeof( int), cudaMemcpyDeviceToHost, stream); + } + auto result = boost::fibers::cuda::waitfor_all( stream); + BOOST_ASSERT( stream == std::get< 0 >( result) ); + BOOST_ASSERT( cudaSuccess == std::get< 1 >( result) ); + std::cout << "f1: GPU computation finished" << std::endl; + cudaFreeHost( host_a); + cudaFreeHost( host_b); + cudaFreeHost( host_c); + cudaFree( dev_a); + cudaFree( dev_b); + cudaFree( dev_c); + cudaStreamDestroy( stream); + done = true; + } catch ( std::exception const& ex) { + std::cerr << "exception: " << ex.what() << std::endl; + } + std::cout << "f1: leaving" << std::endl; + }); + boost::fibers::fiber f2([&done]{ + std::cout << "f2: entered" << std::endl; + while ( ! done) { + std::cout << "f2: sleeping" << std::endl; + boost::this_fiber::sleep_for( std::chrono::milliseconds( 1 ) ); + } + std::cout << "f2: leaving" << std::endl; + }); + f1.join(); + f2.join(); + std::cout << "done." << std::endl; + return EXIT_SUCCESS; + } catch ( std::exception const& e) { + std::cerr << "exception: " << e.what() << std::endl; + } catch (...) { + std::cerr << "unhandled exception" << std::endl; + } + return EXIT_FAILURE; +} |