AMReX_Reduce.H File Reference

#include <AMReX_Config.H>
#include <AMReX_Gpu.H>
#include <AMReX_Arena.H>
#include <AMReX_OpenMP.H>
#include <AMReX_MFIter.H>
#include <AMReX_ValLocPair.H>
#include <algorithm>
#include <functional>
#include <limits>

Go to the source code of this file.

Classes
struct	amrex::ReduceOpSum
struct	amrex::ReduceOpMin
struct	amrex::ReduceOpMax
struct	amrex::ReduceOpLogicalAnd
struct	amrex::ReduceOpLogicalOr
class	amrex::ReduceData< Ts >
struct	amrex::Reduce::detail::iterate_box
struct	amrex::Reduce::detail::iterate_box_comp
class	amrex::ReduceOps< Ps >

Namespaces
namespace	amrex
namespace	amrex::Reduce
namespace	amrex::Reduce::detail

Functions
template<std::size_t I, typename T , typename P >
__device__ void	amrex::Reduce::detail::for_each_parallel (T &d, T const &s)
template<std::size_t I, typename T , typename P , typename P1 , typename... Ps>
__device__ void	amrex::Reduce::detail::for_each_parallel (T &d, T const &s)
template<std::size_t I, typename T , typename P >
__host__ __device__ void	amrex::Reduce::detail::for_each_local (T &d, T const &s)
template<std::size_t I, typename T , typename P , typename P1 , typename... Ps>
__host__ __device__ void	amrex::Reduce::detail::for_each_local (T &d, T const &s)
template<std::size_t I, typename T , typename P >
__host__ __device__ constexpr void	amrex::Reduce::detail::for_each_init (T &t)
template<std::size_t I, typename T , typename P , typename P1 , typename... Ps>
__host__ __device__ constexpr void	amrex::Reduce::detail::for_each_init (T &t)
template<typename F >
__device__ auto	amrex::Reduce::detail::call_f (F const &f, int i, int j, int k, IndexType) noexcept -> decltype(f(0, 0, 0))
template<typename I , typename F , typename T , typename... Ps, std::enable_if_t< std::is_same< iterate_box, I >::value, int > = 0>
__device__ void	amrex::Reduce::detail::mf_call_f (F const &f, int ibox, int i, int j, int k, int, T &r) noexcept
template<typename T , typename N , typename M = std::enable_if_t<std::is_integral_v<N>>>
T	amrex::Reduce::Sum (N n, T const *v, T init_val=0)
template<typename T , typename N , typename F , typename M = std::enable_if_t<std::is_integral_v<N>>>
T	amrex::Reduce::Sum (N n, F const &f, T init_val=0)
template<typename T , typename N , typename M = std::enable_if_t<std::is_integral_v<N>>>
T	amrex::Reduce::Min (N n, T const *v, T init_val=std::numeric_limits< T >::max())
template<typename T , typename N , typename F , typename M = std::enable_if_t<std::is_integral_v<N>>>
T	amrex::Reduce::Min (N n, F const &f, T init_val=std::numeric_limits< T >::max())
template<typename T , typename N , typename M = std::enable_if_t<std::is_integral_v<N>>>
T	amrex::Reduce::Max (N n, T const *v, T init_val=std::numeric_limits< T >::lowest())
template<typename T , typename N , typename F , typename M = std::enable_if_t<std::is_integral_v<N>>>
T	amrex::Reduce::Max (N n, F const &f, T init_val=std::numeric_limits< T >::lowest())
template<typename T , typename N , typename M = std::enable_if_t<std::is_integral_v<N>>>
std::pair< T, T >	amrex::Reduce::MinMax (N n, T const *v)
template<typename T , typename N , typename F , typename M = std::enable_if_t<std::is_integral_v<N>>>
std::pair< T, T >	amrex::Reduce::MinMax (N n, F const &f)
template<typename T , typename N , typename P , typename M = std::enable_if_t<std::is_integral_v<N>>>
bool	amrex::Reduce::AnyOf (N n, T const *v, P const &pred)
template<typename P >
bool	amrex::Reduce::AnyOf (Box const &box, P const &pred)
template<typename... Ts, typename... Ps>
__host__ __device__ constexpr GpuTuple< Ts... >	amrex::IdentityTuple (GpuTuple< Ts... >, ReduceOps< Ps... >) noexcept
	Return a GpuTuple containing the identity element for each operation in ReduceOps. For example 0, +inf and -inf for ReduceOpSum, ReduceOpMin and ReduceOpMax respectively.
template<typename... Ts, typename... Ps>
__host__ __device__ constexpr GpuTuple< Ts... >	amrex::IdentityTuple (GpuTuple< Ts... >, TypeList< Ps... >) noexcept
	Return a GpuTuple containing the identity element for each ReduceOp in TypeList. For example 0, +inf and -inf for ReduceOpSum, ReduceOpMin and ReduceOpMax respectively.