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* Copyright (c) 2016-2018, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
******************************************************************************/
#pragma once
#include <thrust/detail/config.h>
#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
# pragma GCC system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
# pragma clang system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
# pragma system_header
#endif // no system header
#include <thrust/system/cuda/detail/guarded_cuda_runtime_api.h>
#include <thrust/system/cuda/detail/execution_policy.h>
#include <thrust/system/cuda/detail/util.h>
#include <thrust/detail/allocator_aware_execution_policy.h>
#if THRUST_CPP_DIALECT >= 2011
# include <thrust/detail/dependencies_aware_execution_policy.h>
#endif
THRUST_NAMESPACE_BEGIN
namespace cuda_cub {
template <class Derived>
struct execute_on_stream_base : execution_policy<Derived>
{
private:
cudaStream_t stream;
public:
__thrust_exec_check_disable__
__host__ __device__
execute_on_stream_base(cudaStream_t stream_ = default_stream())
: stream(stream_){}
THRUST_RUNTIME_FUNCTION
Derived
on(cudaStream_t const &s) const
{
Derived result = derived_cast(*this);
result.stream = s;
return result;
}
private:
friend __host__ __device__
cudaStream_t
get_stream(const execute_on_stream_base &exec)
{
return exec.stream;
}
};
template <class Derived>
struct execute_on_stream_nosync_base : execution_policy<Derived>
{
private:
cudaStream_t stream;
public:
__host__ __device__
execute_on_stream_nosync_base(cudaStream_t stream_ = default_stream())
: stream(stream_){}
THRUST_RUNTIME_FUNCTION
Derived
on(cudaStream_t const &s) const
{
Derived result = derived_cast(*this);
result.stream = s;
return result;
}
private:
friend __host__ __device__
cudaStream_t
get_stream(const execute_on_stream_nosync_base &exec)
{
return exec.stream;
}
friend __host__ __device__
bool
must_perform_optional_stream_synchronization(const execute_on_stream_nosync_base &)
{
return false;
}
};
struct execute_on_stream : execute_on_stream_base<execute_on_stream>
{
typedef execute_on_stream_base<execute_on_stream> base_t;
__host__ __device__
execute_on_stream() : base_t(){};
__host__ __device__
execute_on_stream(cudaStream_t stream)
: base_t(stream){};
};
struct execute_on_stream_nosync : execute_on_stream_nosync_base<execute_on_stream_nosync>
{
typedef execute_on_stream_nosync_base<execute_on_stream_nosync> base_t;
__host__ __device__
execute_on_stream_nosync() : base_t(){};
__host__ __device__
execute_on_stream_nosync(cudaStream_t stream)
: base_t(stream){};
};
struct par_t : execution_policy<par_t>,
thrust::detail::allocator_aware_execution_policy<
execute_on_stream_base>
#if THRUST_CPP_DIALECT >= 2011
, thrust::detail::dependencies_aware_execution_policy<
execute_on_stream_base>
#endif
{
typedef execution_policy<par_t> base_t;
__host__ __device__
constexpr par_t() : base_t() {}
typedef execute_on_stream stream_attachment_type;
THRUST_RUNTIME_FUNCTION
stream_attachment_type
on(cudaStream_t const &stream) const
{
return execute_on_stream(stream);
}
};
struct par_nosync_t : execution_policy<par_nosync_t>,
thrust::detail::allocator_aware_execution_policy<
execute_on_stream_nosync_base>
#if THRUST_CPP_DIALECT >= 2011
, thrust::detail::dependencies_aware_execution_policy<
execute_on_stream_nosync_base>
#endif
{
typedef execution_policy<par_nosync_t> base_t;
__host__ __device__
constexpr par_nosync_t() : base_t() {}
typedef execute_on_stream_nosync stream_attachment_type;
THRUST_RUNTIME_FUNCTION
stream_attachment_type
on(cudaStream_t const &stream) const
{
return execute_on_stream_nosync(stream);
}
private:
//this function is defined to allow non-blocking calls on the default_stream() with thrust::cuda::par_nosync
//without explicitly using thrust::cuda::par_nosync.on(default_stream())
friend __host__ __device__
bool
must_perform_optional_stream_synchronization(const par_nosync_t &)
{
return false;
}
};
THRUST_INLINE_CONSTANT par_t par;
/*! \p thrust::cuda::par_nosync is a parallel execution policy targeting Thrust's CUDA device backend.
* Similar to \p thrust::cuda::par it allows execution of Thrust algorithms in a specific CUDA stream.
*
* \p thrust::cuda::par_nosync indicates that an algorithm is free to avoid any synchronization of the
* associated stream that is not strictly required for correctness. Additionally, algorithms may return
* before the corresponding kernels are completed, similar to asynchronous kernel launches via <<< >>> syntax.
* The user must take care to perform explicit synchronization if necessary.
*
* The following code snippet demonstrates how to use \p thrust::cuda::par_nosync :
*
* \code
* #include <thrust/device_vector.h>
* #include <thrust/for_each.h>
* #include <thrust/execution_policy.h>
*
* struct IncFunctor{
* __host__ __device__
* void operator()(std::size_t& x){ x = x + 1; };
* };
*
* int main(){
* std::size_t N = 1000000;
* thrust::device_vector<std::size_t> d_vec(N);
*
* cudaStream_t stream;
* cudaStreamCreate(&stream);
* auto nosync_policy = thrust::cuda::par_nosync.on(stream);
*
* thrust::for_each(nosync_policy, d_vec.begin(), d_vec.end(), IncFunctor{});
* thrust::for_each(nosync_policy, d_vec.begin(), d_vec.end(), IncFunctor{});
* thrust::for_each(nosync_policy, d_vec.begin(), d_vec.end(), IncFunctor{});
*
* //for_each may return before completion. Could do other cpu work in the meantime
* // ...
*
* //Wait for the completion of all for_each kernels
* cudaStreamSynchronize(stream);
*
* std::size_t x = thrust::reduce(nosync_policy, d_vec.begin(), d_vec.end());
* //Currently, this synchronization is not necessary. reduce will still perform
* //implicit synchronization to transfer the reduced value to the host to return it.
* cudaStreamSynchronize(stream);
* cudaStreamDestroy(stream);
* }
* \endcode
*
*/
THRUST_INLINE_CONSTANT par_nosync_t par_nosync;
} // namespace cuda_
namespace system {
namespace cuda {
using thrust::cuda_cub::par;
using thrust::cuda_cub::par_nosync;
namespace detail {
using thrust::cuda_cub::par_t;
using thrust::cuda_cub::par_nosync_t;
}
} // namesapce cuda
} // namespace system
namespace cuda {
using thrust::cuda_cub::par;
using thrust::cuda_cub::par_nosync;
} // namespace cuda
THRUST_NAMESPACE_END
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