kokkos.hh File Reference

#include <DiFfRG/common/tuples.hh>
#include <Kokkos_Core.hpp>
#include <type_traits>
#include <array>
#include <tuple>
#include <utility>
#include <autodiff/forward/real.hpp>

Go to the source code of this file.

Classes
struct	DiFfRG::TBB_ExecutionSpace
	This execution space is optimal when used in conjunction with the FE discretizations. More...
class	DiFfRG::ExecutionSpaces
struct	DiFfRG::SumPlus< Scalar, SavedScalar, Space >
	An extension of the Kokkos::Sum reducer that adds a constant value to the result. More...
struct	DiFfRG::GetKokkosNDStarType< dim, T >
struct	DiFfRG::GetKokkosNDStarType< 1, T >
struct	DiFfRG::KokkosNDRangeHelper< dim, ExecutionSpace >
struct	DiFfRG::KokkosNDRangeHelper< 1, ExecutionSpace >
struct	DiFfRG::KokkosNDLambdaWrapper< dim, FUN >
	This is a functor which wraps a lambda. Basically, this is necessary when one wants to call a variadic lambda on an NVIDIA GPU. CUDA seems to be unable to expand the variadic arguments - in contrast, a direct approach does indeed work for openMP or serial compilation. To get around this limitation, the KokkosNDLambdaWrapper packs the indices into an array. If you wonder, whether there's a difference when using tie and tuples: https://godbolt.org/z/M3bG39rsM No. Therefore, we spare the ourselves the hassle and simply use an array. More...
struct	DiFfRG::KokkosNDLambdaWrapperReduction< dim, FUN >
	This is a functor which wraps a lambda for reduction. Basically, this is necessary when one wants to call a variadic lambda on an NVIDIA GPU. CUDA seems to be unable to expand the variadic arguments - in contrast, a direct approach does indeed work for openMP or serial compilation. To get around this limitation, the KokkosNDLambdaWrapperReduction packs the indices into an array. Uses compile-time index sequences to extract the first dim args as indices and the last arg as the reduction value, avoiding recursive tuple_first/tuple_cat overhead per GPU thread. More...
struct	Kokkos::reduction_identity< autodiff::Real< N, T > >

Namespaces
namespace	DiFfRG
namespace	DiFfRG::device
namespace	Kokkos

Typedefs
using	DiFfRG::GPU_memory = ExecutionSpaces::GPU_memory_space
using	DiFfRG::Threads_memory = ExecutionSpaces::Threads_memory_space
using	DiFfRG::TBB_memory = ExecutionSpaces::TBB_memory_space
using	DiFfRG::CPU_memory = Kokkos::DefaultHostExecutionSpace::memory_space
using	DiFfRG::GPU_exec = ExecutionSpaces::GPU_exec_space
using	DiFfRG::Threads_exec = ExecutionSpaces::Threads_exec_space
using	DiFfRG::TBB_exec = ExecutionSpaces::TBB_exec_space
template<typename MemorySpace >
using	DiFfRG::other_memory_space_t = std::conditional_t< std::is_same_v< MemorySpace, GPU_memory >, CPU_memory, GPU_memory >
template<typename... T>
using	DiFfRG::device::tuple = std::tuple< T... >
template<typename T , std::size_t N>
using	DiFfRG::device::array = std::array< T, N >
template<int dim, typename T , typename ExecutionSpace >
using	DiFfRG::KokkosNDView = Kokkos::View< typename GetKokkosNDStarType< dim, T >::type, ExecutionSpace >
template<int dim, typename T , typename ExecutionSpace >
using	DiFfRG::KokkosNDViewRestrict = Kokkos::View< typename GetKokkosNDStarType< dim, T >::type, ExecutionSpace, Kokkos::MemoryTraits< Kokkos::Restrict > >
template<int dim, typename T , typename ExecutionSpace >
using	DiFfRG::KokkosNDViewUnmanaged = Kokkos::View< typename GetKokkosNDStarType< dim, T >::type, ExecutionSpace, Kokkos::MemoryTraits< Kokkos::Unmanaged > >
template<int dim, typename ExecutionSpace >
using	DiFfRG::KokkosNDRange = KokkosNDRangeHelper< dim, ExecutionSpace >::type

Functions
template<int dim, typename T , typename ExecutionSpace >
auto	DiFfRG::make_kokkos_nd_view (const std::string &label, const device::array< size_t, dim > &extents)
template<int dim, typename T , typename ExecutionSpace >
auto	DiFfRG::make_kokkos_nd_view_restrict (const std::string &label, const device::array< size_t, dim > &extents)
template<int dim>
device::array< size_t, dim >	DiFfRG::compute_tile_hints (const device::array< size_t, dim > &extents, size_t max_threads=256)
	Compute clamped tile sizes for MDRangePolicy so that the product of tile dimensions does not exceed max_threads. Fills from the innermost (last) dimension outward.
template<int dim, typename ExecutionSpace >
auto	DiFfRG::make_kokkos_nd_range (ExecutionSpace &space, const device::array< size_t, dim > start, const device::array< size_t, dim > end)
template<int dim, typename ExecutionSpace >
auto	DiFfRG::make_kokkos_nd_range (ExecutionSpace &space, const device::array< size_t, dim > start, const device::array< size_t, dim > end, const device::array< size_t, dim > tile)
template<int dim, typename TeamType >
KOKKOS_FORCEINLINE_FUNCTION auto	DiFfRG::make_kokkos_nd_thread_range (const TeamType &team, const device::array< size_t, dim > end)