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Kokkos_Cuda_WorkGraphPolicy.hpp
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Kokkos_Cuda_WorkGraphPolicy.hpp

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// Kokkos v. 2.0
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#ifndef KOKKOS_CUDA_WORKGRAPHPOLICY_HPP
#define KOKKOS_CUDA_WORKGRAPHPOLICY_HPP
namespace Kokkos {
namespace Impl {
template< class FunctorType , class ... Traits >
class ParallelFor< FunctorType ,
Kokkos::Experimental::WorkGraphPolicy< Traits ... > ,
Kokkos::Cuda
>
: public Kokkos::Impl::Experimental::
WorkGraphExec< FunctorType,
Kokkos::Cuda,
Traits ...
>
{
public:
typedef Kokkos::Experimental::WorkGraphPolicy< Traits ... > Policy ;
typedef Kokkos::Impl::Experimental::
WorkGraphExec<FunctorType, Kokkos::Cuda, Traits ... > Base ;
typedef ParallelFor<FunctorType, Policy, Kokkos::Cuda> Self ;
private:
template< class TagType >
__device__
typename std::enable_if< std::is_same< TagType , void >::value >::type
exec_one(const typename Policy::member_type& i) const {
Base::m_functor( i );
}
template< class TagType >
__device__
typename std::enable_if< ! std::is_same< TagType , void >::value >::type
exec_one(const typename Policy::member_type& i) const {
const TagType t{} ;
Base::m_functor( t , i );
}
public:
__device__
inline
void operator()() const {
for (std::int32_t i; (-1 != (i = Base::before_work())); ) {
exec_one< typename Policy::work_tag >( i );
Base::after_work(i);
}
}
inline
void execute()
{
const int warps_per_block = 4 ;
const dim3 grid( Kokkos::Impl::cuda_internal_multiprocessor_count() , 1 , 1 );
const dim3 block( 1 , Kokkos::Impl::CudaTraits::WarpSize , warps_per_block );
const int shared = 0 ;
const cudaStream_t stream = 0 ;
Kokkos::Impl::CudaParallelLaunch<Self>(*this, grid, block, shared, stream);
}
inline
ParallelFor( const FunctorType & arg_functor
, const Policy & arg_policy )
: Base( arg_functor, arg_policy )
{
}
};
} // namespace Impl
} // namespace Kokkos
#endif /* #define KOKKOS_CUDA_WORKGRAPHPOLICY_HPP */

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