Simulation::KernelInline Namespace Reference

Classes
struct	CycleFunctor
struct	CycleFunctors
class	CycleReducer
struct	CycleReduceType
struct	LeavingFlow
struct	MoveFunctor
struct	MoveInfo
struct	TagContribution
struct	TagCycle
struct	TagLeave
struct	TagMove

Typedefs
template<typename Space>
using	cycle_reducer_view_type
template<typename Space>
using	move_reducer_view_type = Kokkos::View<std::size_t, Space>

Functions
KOKKOS_INLINE_FUNCTION std::size_t	__find_next_compartment (const bool do_serch, const ConstNeighborsView< ComputeSpace > &neighbors, const CumulativeProbabilityView< ComputeSpace > &cumulative_probability, const std::size_t i_compartment, const double random_number)
	probably overkill binary search to find next compartment
template<typename FastSample = int>
KOKKOS_INLINE_FUNCTION bool	probability_leaving (float random_number, double volume, double flow, double dt)
template<>
KOKKOS_INLINE_FUNCTION bool	probability_leaving< void > (float random_number, double volume, double flow, double dt)

Variables
constexpr bool	enable_leave = true
constexpr bool	disable_leave = false
constexpr bool	disable_move = false
constexpr bool	enable_move = true
static constexpr bool	_use_kokkos_log = true

Typedef Documentation

cycle_reducer_view_type

template<typename Space>

using Simulation::KernelInline::cycle_reducer_view_type

Initial value:

 
      KernelInline::CycleReducer<Space>::result_view_type

move_reducer_view_type

template<typename Space>

using Simulation::KernelInline::move_reducer_view_type = Kokkos::View<std::size_t, Space>

Function Documentation

__find_next_compartment()

KOKKOS_INLINE_FUNCTION std::size_t Simulation::KernelInline::__find_next_compartment	(	const bool	do_serch,
		const ConstNeighborsView< ComputeSpace > &	neighbors,
		const CumulativeProbabilityView< ComputeSpace > &	cumulative_probability,
		const std::size_t	i_compartment,
		const double	random_number )

probably overkill binary search to find next compartment

Compared with first impl it might not change anything Binary seach is O(log(n)) vs first linear is (n)

Here is the caller graph for this function:

probability_leaving()

template<typename FastSample = int>

KOKKOS_INLINE_FUNCTION bool Simulation::KernelInline::probability_leaving	(	float	random_number,
		double	volume,
		double	flow,
		double	dt )

Here is the call graph for this function:

Here is the caller graph for this function:

probability_leaving< void >()

template<>

KOKKOS_INLINE_FUNCTION bool Simulation::KernelInline::probability_leaving< void >	(	float	random_number,
		double	volume,
		double	flow,
		double	dt )

Here is the caller graph for this function:

Variable Documentation

_use_kokkos_log

bool Simulation::KernelInline::_use_kokkos_log = true

staticconstexpr

disable_leave

bool Simulation::KernelInline::disable_leave = false

constexpr

disable_move

bool Simulation::KernelInline::disable_move = false

constexpr

enable_leave

bool Simulation::KernelInline::enable_leave = true

constexpr

enable_move

bool Simulation::KernelInline::enable_move = true

constexpr