Calculates the distribution of FABs to MPI processes. More...

#include <AMReX_DistributionMapping.H>

Classes
struct	LIpairGT

struct	LIpairLT

struct	Ref

struct	RefID

Public Types
enum	Strategy { UNDEFINED = -1 , ROUNDROBIN , KNAPSACK , SFC , RRSFC }
	The distribution strategies. More...

Public Member Functions
	DistributionMapping () noexcept
	The default constructor. More...

	DistributionMapping (const DistributionMapping &rhs)=default
	The copy constructor. More...

DistributionMapping &	operator= (const DistributionMapping &rhs)=default
	The copy assignment operator. More...

	DistributionMapping (DistributionMapping &&rhs) noexcept=default
	The move constructor. More...

DistributionMapping &	operator= (DistributionMapping &&rhs) noexcept=default
	The move assignment operator. More...

	~DistributionMapping () noexcept=default
	The destructor. More...

	DistributionMapping (const Vector< int > &pmap)
	Create an object with the specified mapping. More...

	DistributionMapping (Vector< int > &&pmap) noexcept

	DistributionMapping (const BoxArray &boxes, int nprocs=ParallelDescriptor::NProcs())
	Build mapping out of BoxArray over nprocs processors. More...

	DistributionMapping (const DistributionMapping &d1, const DistributionMapping &d2)
	This is a very specialized distribution map. Do NOT use it unless you really understand what it does. More...

void	define (const BoxArray &boxes, int nprocs=ParallelDescriptor::NProcs())
	Build mapping out of BoxArray over nprocs processors. You need to call this if you built your DistributionMapping with the default constructor. More...

void	define (const Vector< int > &pmap)
	Build mapping out of an Array of ints. You need to call this if you built your DistributionMapping with the default constructor. More...

void	define (Vector< int > &&pmap) noexcept

const Vector< int > &	ProcessorMap () const noexcept
	Returns a constant reference to the mapping of boxes in the underlying BoxArray to the CPU that holds the FAB on that Box. ProcessorMap()[i] is an integer in the interval [0, NCPU) where NCPU is the number of CPUs being used. More...

Long	size () const noexcept
	Length of the underlying processor map. More...

Long	capacity () const noexcept

bool	empty () const noexcept

Long	linkCount () const noexcept
	Number of references to this DistributionMapping. More...

int	operator[] (int index) const noexcept
	Equivalent to ProcessorMap()[index]. More...

std::istream &	readFrom (std::istream &is)

std::ostream &	writeOn (std::ostream &os) const

bool	operator== (const DistributionMapping &rhs) const noexcept
	Are the distributions equal? More...

bool	operator!= (const DistributionMapping &rhs) const noexcept
	Are the distributions different? More...

void	SFCProcessorMap (const BoxArray &boxes, const std::vector< Long > &wgts, int nprocs, bool sort=true)

void	SFCProcessorMap (const BoxArray &boxes, const std::vector< Long > &wgts, int nprocs, Real &efficiency, bool sort=true)

void	KnapSackProcessorMap (const std::vector< Long > &wgts, int nprocs, Real *efficiency=nullptr, bool do_full_knapsack=true, int nmax=std::numeric_limits< int >::max(), bool sort=true)

void	KnapSackProcessorMap (const DistributionMapping &olddm, const std::vector< Long > &wgts, Real keep_ratio, Real &old_efficiency, Real &new_efficiency, int nmax=std::numeric_limits< int >::max())

void	RoundRobinProcessorMap (int nboxes, int nprocs, bool sort=true)

void	RoundRobinProcessorMap (const std::vector< Long > &wgts, int nprocs, bool sort=true)

RefID	getRefID () const noexcept
	This gives a unique ID of the reference, which is different from dmID above. More...

Static Public Member Functions
static void	strategy (Strategy how)
	Set/get the distribution strategy. More...

static Strategy	strategy ()

static void	SFC_Threshold (int n)
	Set/get the space filling curve threshold. More...

static int	SFC_Threshold ()

static void	Initialize ()
	Initializes distribution strategy from ParmParse. More...

static void	Finalize ()

static bool	SameRefs (const DistributionMapping &lhs, const DistributionMapping &rhs)

static DistributionMapping	makeKnapSack (const MultiFab &weight, int nmax=std::numeric_limits< int >::max())

static DistributionMapping	makeKnapSack (const MultiFab &weight, Real &eff, int nmax=std::numeric_limits< int >::max())

static DistributionMapping	makeKnapSack (const Vector< Real > &rcost, int nmax=std::numeric_limits< int >::max())

static DistributionMapping	makeKnapSack (const Vector< Real > &rcost, Real &eff, int nmax=std::numeric_limits< int >::max(), bool sort=true)

static DistributionMapping	makeKnapSack (const LayoutData< Real > &rcost_local, Real &currentEfficiency, Real &proposedEfficiency, int nmax=std::numeric_limits< int >::max(), bool broadcastToAll=true, int root=ParallelDescriptor::IOProcessorNumber(), Real keep_ratio=Real(0.0))
	Computes a new distribution mapping by distributing input costs according to the `knapsack` algorithm. More...

static DistributionMapping	makeRoundRobin (const MultiFab &weight)

static DistributionMapping	makeSFC (const MultiFab &weight, bool sort=true)

static DistributionMapping	makeSFC (const MultiFab &weight, Real &eff, bool sort=true)

static DistributionMapping	makeSFC (const Vector< Real > &rcost, const BoxArray &ba, bool sort=true)

static DistributionMapping	makeSFC (const Vector< Real > &rcost, const BoxArray &ba, Real &eff, bool sort=true)

static DistributionMapping	makeSFC (const LayoutData< Real > &rcost_local, Real &currentEfficiency, Real &proposedEfficiency, bool broadcastToAll=true, int root=ParallelDescriptor::IOProcessorNumber())
	Computes a new distribution mapping by distributing input costs according to a `space filling curve` (SFC) algorithm. More...

static std::vector< std::vector< int > >	makeSFC (const BoxArray &ba, bool use_box_vol=true, int nprocs=ParallelContext::NProcsSub())

template<typename T >
static void	ComputeDistributionMappingEfficiency (const DistributionMapping &dm, const std::vector< T > &cost, Real *efficiency)
	Computes the average cost per MPI rank given a distribution mapping global cost vector. More...

Private Types
using	LIpair = std::pair< Long, int >

using	PVMF = void(DistributionMapping::*)(const BoxArray &, int)
	A useful typedef. More...

Private Member Functions
const Vector< int > &	getIndexArray ()

const std::vector< bool > &	getOwnerShip ()

void	RoundRobinProcessorMap (const BoxArray &boxes, int nprocs)
	Ways to create the processor map. More...

void	KnapSackProcessorMap (const BoxArray &boxes, int nprocs)

void	SFCProcessorMap (const BoxArray &boxes, int nprocs)

void	RRSFCProcessorMap (const BoxArray &boxes, int nprocs)

void	RoundRobinDoIt (int nboxes, int nprocs, std::vector< LIpair > *LIpairV=nullptr, bool sort=true)

void	KnapSackDoIt (const std::vector< Long > &wgts, int nprocs, Real &efficiency, bool do_full_knapsack, int nmax=std::numeric_limits< int >::max(), bool sort=true)

void	SFCProcessorMapDoIt (const BoxArray &boxes, const std::vector< Long > &wgts, int nprocs, bool sort=true, Real *efficiency=nullptr)

void	RRSFCDoIt (const BoxArray &boxes, int nprocs)

Static Private Member Functions
static void	Sort (std::vector< LIpair > &vec, bool reverse)

static void	LeastUsedCPUs (int nprocs, Vector< int > &result)
	Least used ordering of CPUs (by # of bytes of FAB data). More...

static void	LeastUsedTeams (Vector< int > &rteam, Vector< Vector< int > > &rworker, int nteams, int nworkers)
	rteam: Least used ordering of Teams rworker[i]: Least used ordering of team workers for Team i More...

Private Attributes
std::shared_ptr< Ref >	m_ref
	The data – a reference-counted pointer to a Ref. More...

Static Private Attributes
static Strategy	m_Strategy = DistributionMapping::SFC
	Everyone uses the same Strategy – defaults to SFC. More...

static PVMF	m_BuildMap = nullptr
	Pointer to one of the CreateProcessorMap() functions. Corresponds to the one specified by m_Strategy. More...

Friends
template<typename T >
class	FabArray

class	FabArrayBase

Detailed Description

Calculates the distribution of FABs to MPI processes.

This class calculates the distribution of FABs to MPI processes in a FabArray in a multi-processor environment. By distribution is meant what MPI process in the multi-processor environment owns what FAB. Only the BoxArray on which the FabArray is built is used in determining the distribution. The three types of distributions supported are round-robin, knapsack, and SFC. In the round-robin distribution FAB i is owned by CPU iN where N is total number of CPUs. In the knapsack distribution the FABs are partitioned across CPUs such that the total volume of the Boxes in the underlying BoxArray are as equal across CPUs as is possible. The SFC distribution is based on a space filling curve.

Member Typedef Documentation

◆ LIpair

using amrex::DistributionMapping::LIpair = std::pair<Long,int>

private

◆ PVMF

using amrex::DistributionMapping::PVMF = void (DistributionMapping::*)(const BoxArray &, int)

private

A useful typedef.

Member Enumeration Documentation

◆ Strategy

enum amrex::DistributionMapping::Strategy

The distribution strategies.

Enumerator
UNDEFINED
ROUNDROBIN
KNAPSACK
SFC
RRSFC

Constructor & Destructor Documentation

◆ DistributionMapping() [1/7]

amrex::DistributionMapping::DistributionMapping ( )

noexcept

The default constructor.

◆ DistributionMapping() [2/7]

amrex::DistributionMapping::DistributionMapping ( const DistributionMapping & rhs )

default

The copy constructor.

◆ DistributionMapping() [3/7]

amrex::DistributionMapping::DistributionMapping ( DistributionMapping && rhs )

defaultnoexcept

The move constructor.

◆ ~DistributionMapping()

amrex::DistributionMapping::~DistributionMapping ( )

defaultnoexcept

The destructor.

◆ DistributionMapping() [4/7]

amrex::DistributionMapping::DistributionMapping ( const Vector< int > & pmap )

explicit

Create an object with the specified mapping.

◆ DistributionMapping() [5/7]

amrex::DistributionMapping::DistributionMapping ( Vector< int > && pmap )

explicitnoexcept

◆ DistributionMapping() [6/7]

amrex::DistributionMapping::DistributionMapping	(	const BoxArray &	boxes,
		int	nprocs = `ParallelDescriptor::NProcs()`
	)

explicit

Build mapping out of BoxArray over nprocs processors.

◆ DistributionMapping() [7/7]

amrex::DistributionMapping::DistributionMapping	(	const DistributionMapping &	d1,
		const DistributionMapping &	d2
	)

This is a very specialized distribution map. Do NOT use it unless you really understand what it does.

Member Function Documentation

◆ capacity()

Long amrex::DistributionMapping::capacity ( ) const

inlinenoexcept

◆ ComputeDistributionMappingEfficiency()

template<typename T >

void amrex::DistributionMapping::ComputeDistributionMappingEfficiency	(	const DistributionMapping &	dm,
		const std::vector< T > &	cost,
		Real *	efficiency
	)

static

Computes the average cost per MPI rank given a distribution mapping global cost vector.

Parameters

[in]	dm	distribution mapping (mapping from FAB to MPI processes)
[in]	cost	vector giving mapping from FAB to the corresponding cost
[in,out]	efficiency	average cost per MPI process, as computed from the given distribution mapping and cost

◆ define() [1/3]

void amrex::DistributionMapping::define	(	const BoxArray &	boxes,
		int	nprocs = `ParallelDescriptor::NProcs()`
	)

Build mapping out of BoxArray over nprocs processors. You need to call this if you built your DistributionMapping with the default constructor.

◆ define() [2/3]

void amrex::DistributionMapping::define ( const Vector< int > & pmap )

Build mapping out of an Array of ints. You need to call this if you built your DistributionMapping with the default constructor.

◆ define() [3/3]

void amrex::DistributionMapping::define ( Vector< int > && pmap )

noexcept

◆ empty()

bool amrex::DistributionMapping::empty ( ) const

inlinenoexcept

◆ Finalize()

void amrex::DistributionMapping::Finalize ( )

static

◆ getIndexArray()

const Vector< int > & amrex::DistributionMapping::getIndexArray ( )

private

◆ getOwnerShip()

const std::vector< bool > & amrex::DistributionMapping::getOwnerShip ( )

private

◆ getRefID()

RefID amrex::DistributionMapping::getRefID ( ) const

inlinenoexcept

This gives a unique ID of the reference, which is different from dmID above.

◆ Initialize()

void amrex::DistributionMapping::Initialize ( )

static

Initializes distribution strategy from ParmParse.

ParmParse options are:

DistributionMapping.strategy = ROUNDROBIN DistributionMapping.strategy = KNAPSACK DistributionMapping.strategy = SFC DistributionMapping.strategy = RRFC

◆ KnapSackDoIt()

void amrex::DistributionMapping::KnapSackDoIt	(	const std::vector< Long > &	wgts,
		int	nprocs,
		Real &	efficiency,
		bool	do_full_knapsack,
		int	nmax = `std::numeric_limits<int>::max()`,
		bool	sort = `true`
	)

private

◆ KnapSackProcessorMap() [1/3]

void amrex::DistributionMapping::KnapSackProcessorMap	(	const BoxArray &	boxes,
		int	nprocs
	)

private

◆ KnapSackProcessorMap() [2/3]

void amrex::DistributionMapping::KnapSackProcessorMap	(	const DistributionMapping &	olddm,
		const std::vector< Long > &	wgts,
		Real	keep_ratio,
		Real &	old_efficiency,
		Real &	new_efficiency,
		int	nmax = `std::numeric_limits<int>::max()`
	)

◆ KnapSackProcessorMap() [3/3]

void amrex::DistributionMapping::KnapSackProcessorMap	(	const std::vector< Long > &	wgts,
		int	nprocs,
		Real *	efficiency = `nullptr`,
		bool	do_full_knapsack = `true`,
		int	nmax = `std::numeric_limits<int>::max()`,
		bool	sort = `true`
	)

◆ LeastUsedCPUs()

void amrex::DistributionMapping::LeastUsedCPUs	(	int	nprocs,
		Vector< int > &	result
	)

staticprivate

Least used ordering of CPUs (by # of bytes of FAB data).

◆ LeastUsedTeams()

void amrex::DistributionMapping::LeastUsedTeams	(	Vector< int > &	rteam,
		Vector< Vector< int > > &	rworker,
		int	nteams,
		int	nworkers
	)

staticprivate

rteam: Least used ordering of Teams rworker[i]: Least used ordering of team workers for Team i

◆ linkCount()

Long amrex::DistributionMapping::linkCount ( ) const

inlinenoexcept

Number of references to this DistributionMapping.

◆ makeKnapSack() [1/5]

DistributionMapping amrex::DistributionMapping::makeKnapSack	(	const LayoutData< Real > &	rcost_local,
		Real &	currentEfficiency,
		Real &	proposedEfficiency,
		int	nmax = `std::numeric_limits<int>::max()`,
		bool	broadcastToAll = `true`,
		int	root = `ParallelDescriptor::IOProcessorNumber()`,
		Real	keep_ratio = `Real(0.0)`
	)

static

Computes a new distribution mapping by distributing input costs according to the knapsack algorithm.

Parameters

[in]	rcost_local	LayoutData of costs; contains, e.g., costs for the local boxes in the FAB array, corresponding indices in the global indices in the FAB array, and the distribution mapping
[in,out]	currentEfficiency	writes the efficiency (i.e., mean cost over all MPI ranks, normalized to the max cost) given the current distribution mapping
[in,out]	proposedEfficiency	writes the efficiency for the proposed distribution mapping
[in]	nmax	the maximum number of boxes that can be assigned to any MPI rank by the knapsack algorithm
[in]	broadcastToAll	controls whether to transmit the proposed distribution mapping to all other processes; setting this to false allows to, e.g., test whether the proposed distribution mapping is an improvement relative to the current distribution mapping, before deciding to broadcast the proposed distribution mapping
[in]	root	which process to collect the local costs from others and compute the proposed distribution mapping
[in]	keep_ratio	controls the fraction of load that should be kept on the original process.

Returns: the proposed load-balanced distribution mapping

◆ makeKnapSack() [2/5]

DistributionMapping amrex::DistributionMapping::makeKnapSack	(	const MultiFab &	weight,
		int	nmax = `std::numeric_limits<int>::max()`
	)

static

◆ makeKnapSack() [3/5]

DistributionMapping amrex::DistributionMapping::makeKnapSack	(	const MultiFab &	weight,
		Real &	eff,
		int	nmax = `std::numeric_limits<int>::max()`
	)

static

◆ makeKnapSack() [4/5]

DistributionMapping amrex::DistributionMapping::makeKnapSack	(	const Vector< Real > &	rcost,
		int	nmax = `std::numeric_limits<int>::max()`
	)

static

◆ makeKnapSack() [5/5]

DistributionMapping amrex::DistributionMapping::makeKnapSack	(	const Vector< Real > &	rcost,
		Real &	eff,
		int	nmax = `std::numeric_limits<int>::max()`,
		bool	sort = `true`
	)

static

◆ makeRoundRobin()

DistributionMapping amrex::DistributionMapping::makeRoundRobin ( const MultiFab & weight )

static

◆ makeSFC() [1/6]

std::vector< std::vector< int > > amrex::DistributionMapping::makeSFC	(	const BoxArray &	ba,
		bool	use_box_vol = `true`,
		int	nprocs = `ParallelContext::NProcsSub()`
	)

static

if use_box_vol is true, weight boxes by their volume in Distribute otherwise, all boxes will be treated with equal weight

◆ makeSFC() [2/6]

DistributionMapping amrex::DistributionMapping::makeSFC	(	const LayoutData< Real > &	rcost_local,
		Real &	currentEfficiency,
		Real &	proposedEfficiency,
		bool	broadcastToAll = `true`,
		int	root = `ParallelDescriptor::IOProcessorNumber()`
	)

static

Computes a new distribution mapping by distributing input costs according to a space filling curve (SFC) algorithm.

Parameters

[in]	rcost_local	LayoutData of costs; contains, e.g., costs for the local boxes in the FAB array, corresponding indices in the global indices in the FAB array, and the distribution mapping
[in,out]	currentEfficiency	writes the efficiency (i.e., mean cost over all MPI ranks, normalized to the max cost) given the current distribution mapping
[in,out]	proposedEfficiency	writes the efficiency for the proposed distribution mapping
[in]	broadcastToAll	controls whether to transmit the proposed distribution mapping to all other processes; setting this to false allows to, e.g., test whether the proposed distribution mapping is an improvement relative to the current distribution mapping, before deciding to broadcast the proposed distribution mapping
[in]	root	which process to collect the local costs from others and compute the proposed distribution mapping

Returns: the proposed load-balanced distribution mapping

◆ makeSFC() [3/6]

DistributionMapping amrex::DistributionMapping::makeSFC	(	const MultiFab &	weight,
		bool	sort = `true`
	)

static

◆ makeSFC() [4/6]

DistributionMapping amrex::DistributionMapping::makeSFC	(	const MultiFab &	weight,
		Real &	eff,
		bool	sort = `true`
	)

static

◆ makeSFC() [5/6]

DistributionMapping amrex::DistributionMapping::makeSFC	(	const Vector< Real > &	rcost,
		const BoxArray &	ba,
		bool	sort = `true`
	)

static

◆ makeSFC() [6/6]

DistributionMapping amrex::DistributionMapping::makeSFC	(	const Vector< Real > &	rcost,
		const BoxArray &	ba,
		Real &	eff,
		bool	sort = `true`
	)

static

◆ operator!=()

bool amrex::DistributionMapping::operator!= ( const DistributionMapping & rhs ) const

noexcept

Are the distributions different?

◆ operator=() [1/2]

DistributionMapping& amrex::DistributionMapping::operator= ( const DistributionMapping & rhs )

default

The copy assignment operator.

◆ operator=() [2/2]

DistributionMapping& amrex::DistributionMapping::operator= ( DistributionMapping && rhs )

defaultnoexcept

The move assignment operator.

◆ operator==()

bool amrex::DistributionMapping::operator== ( const DistributionMapping & rhs ) const

noexcept

Are the distributions equal?

◆ operator[]()

int amrex::DistributionMapping::operator[] ( int index ) const

inlinenoexcept

Equivalent to ProcessorMap()[index].

◆ ProcessorMap()

const Vector< int > & amrex::DistributionMapping::ProcessorMap ( ) const

noexcept

Returns a constant reference to the mapping of boxes in the underlying BoxArray to the CPU that holds the FAB on that Box. ProcessorMap()[i] is an integer in the interval [0, NCPU) where NCPU is the number of CPUs being used.

◆ readFrom()

std::istream & amrex::DistributionMapping::readFrom ( std::istream & is )

◆ RoundRobinDoIt()

void amrex::DistributionMapping::RoundRobinDoIt	(	int	nboxes,
		int	nprocs,
		std::vector< LIpair > *	LIpairV = `nullptr`,
		bool	sort = `true`
	)

private

◆ RoundRobinProcessorMap() [1/3]

void amrex::DistributionMapping::RoundRobinProcessorMap	(	const BoxArray &	boxes,
		int	nprocs
	)

private

Ways to create the processor map.

◆ RoundRobinProcessorMap() [2/3]

void amrex::DistributionMapping::RoundRobinProcessorMap	(	const std::vector< Long > &	wgts,
		int	nprocs,
		bool	sort = `true`
	)

◆ RoundRobinProcessorMap() [3/3]

void amrex::DistributionMapping::RoundRobinProcessorMap	(	int	nboxes,
		int	nprocs,
		bool	sort = `true`
	)

◆ RRSFCDoIt()

void amrex::DistributionMapping::RRSFCDoIt	(	const BoxArray &	boxes,
		int	nprocs
	)

private

◆ RRSFCProcessorMap()

void amrex::DistributionMapping::RRSFCProcessorMap	(	const BoxArray &	boxes,
		int	nprocs
	)

private

◆ SameRefs()

static bool amrex::DistributionMapping::SameRefs	(	const DistributionMapping &	lhs,
		const DistributionMapping &	rhs
	)

inlinestatic

◆ SFC_Threshold() [1/2]

int amrex::DistributionMapping::SFC_Threshold ( )

static

◆ SFC_Threshold() [2/2]

void amrex::DistributionMapping::SFC_Threshold ( int n )

static

Set/get the space filling curve threshold.

◆ SFCProcessorMap() [1/3]

void amrex::DistributionMapping::SFCProcessorMap	(	const BoxArray &	boxes,
		const std::vector< Long > &	wgts,
		int	nprocs,
		bool	sort = `true`
	)

◆ SFCProcessorMap() [2/3]

void amrex::DistributionMapping::SFCProcessorMap	(	const BoxArray &	boxes,
		const std::vector< Long > &	wgts,
		int	nprocs,
		Real &	efficiency,
		bool	sort = `true`
	)

◆ SFCProcessorMap() [3/3]

void amrex::DistributionMapping::SFCProcessorMap	(	const BoxArray &	boxes,
		int	nprocs
	)

private

◆ SFCProcessorMapDoIt()

void amrex::DistributionMapping::SFCProcessorMapDoIt	(	const BoxArray &	boxes,
		const std::vector< Long > &	wgts,
		int	nprocs,
		bool	sort = `true`,
		Real *	efficiency = `nullptr`
	)

private

◆ size()

Long amrex::DistributionMapping::size ( ) const

inlinenoexcept

Length of the underlying processor map.

◆ Sort()

void amrex::DistributionMapping::Sort	(	std::vector< LIpair > &	vec,
		bool	reverse
	)

staticprivate

◆ strategy() [1/2]

DistributionMapping::Strategy amrex::DistributionMapping::strategy ( )

static

◆ strategy() [2/2]

void amrex::DistributionMapping::strategy ( DistributionMapping::Strategy how )

static

Set/get the distribution strategy.

◆ writeOn()

std::ostream & amrex::DistributionMapping::writeOn ( std::ostream & os ) const

Friends And Related Function Documentation

◆ FabArray

template<typename T >

friend class FabArray

friend

◆ FabArrayBase

friend class FabArrayBase

friend

Member Data Documentation

◆ m_BuildMap

DistributionMapping::PVMF amrex::DistributionMapping::m_BuildMap = nullptr

staticprivate

Pointer to one of the CreateProcessorMap() functions. Corresponds to the one specified by m_Strategy.

◆ m_ref

std::shared_ptr<Ref> amrex::DistributionMapping::m_ref

private

The data – a reference-counted pointer to a Ref.

◆ m_Strategy

DistributionMapping::Strategy amrex::DistributionMapping::m_Strategy = DistributionMapping::SFC

staticprivate

Everyone uses the same Strategy – defaults to SFC.

The documentation for this class was generated from the following files:

/home/runner/work/amrex/amrex/Src/Base/AMReX_DistributionMapping.H
/home/runner/work/amrex/amrex/Src/Base/AMReX_DistributionMapping.cpp

Classes

Public Types

Public Member Functions

Static Public Member Functions

Private Types

Private Member Functions

Static Private Member Functions

Private Attributes

Static Private Attributes

Friends

Detailed Description

Member Typedef Documentation

◆ LIpair

◆ PVMF

Member Enumeration Documentation

◆ Strategy

Constructor & Destructor Documentation

◆ DistributionMapping() [1/7]

◆ DistributionMapping() [2/7]

◆ DistributionMapping() [3/7]

◆ ~DistributionMapping()

◆ DistributionMapping() [4/7]

◆ DistributionMapping() [5/7]

◆ DistributionMapping() [6/7]

◆ DistributionMapping() [7/7]

Member Function Documentation

◆ capacity()

◆ ComputeDistributionMappingEfficiency()

◆ define() [1/3]

◆ define() [2/3]

◆ define() [3/3]

◆ empty()

◆ Finalize()

◆ getIndexArray()

◆ getOwnerShip()

◆ getRefID()

◆ Initialize()

◆ KnapSackDoIt()

◆ KnapSackProcessorMap() [1/3]

◆ KnapSackProcessorMap() [2/3]

◆ KnapSackProcessorMap() [3/3]

◆ LeastUsedCPUs()

◆ LeastUsedTeams()

◆ linkCount()

◆ makeKnapSack() [1/5]

◆ makeKnapSack() [2/5]

◆ makeKnapSack() [3/5]

◆ makeKnapSack() [4/5]

◆ makeKnapSack() [5/5]

◆ makeRoundRobin()

◆ makeSFC() [1/6]

◆ makeSFC() [2/6]

◆ makeSFC() [3/6]

◆ makeSFC() [4/6]

◆ makeSFC() [5/6]

◆ makeSFC() [6/6]

◆ operator!=()

◆ operator=() [1/2]

◆ operator=() [2/2]

◆ operator==()

◆ operator[]()

◆ ProcessorMap()

◆ readFrom()

◆ RoundRobinDoIt()

◆ RoundRobinProcessorMap() [1/3]

◆ RoundRobinProcessorMap() [2/3]

◆ RoundRobinProcessorMap() [3/3]

◆ RRSFCDoIt()

◆ RRSFCProcessorMap()

◆ SameRefs()

◆ SFC_Threshold() [1/2]

◆ SFC_Threshold() [2/2]

◆ SFCProcessorMap() [1/3]

◆ SFCProcessorMap() [2/3]

◆ SFCProcessorMap() [3/3]

◆ SFCProcessorMapDoIt()

◆ size()

◆ Sort()

◆ strategy() [1/2]

◆ strategy() [2/2]