C++ mpi module for stochmagnet_main Package
Public Member Functions | Static Public Member Functions | Protected Member Functions | List of all members
SMOMPI_LandauLifschitzBeam Class Reference

This class describes an OpenMP/MPI implementation simulation of a beam of trajectoris for a Laudau-Lifschitz system. More...

#include <SMOMPI_LandauLifschitzBeam.h>

Inheritance diagram for SMOMPI_LandauLifschitzBeam:
Inheritance graph
[legend]
Collaboration diagram for SMOMPI_LandauLifschitzBeam:
Collaboration graph
[legend]

Public Member Functions

virtual tMemSize getMemorySize () const override
 return the memory size of the class and the memory size of all its attributes/associations More...
 
virtual tMemSize getContentsMemorySize () const override
 return the memory size of the included associations More...
 
template<class StochOutputImplement >
tBoolean runWithSCStochasticFunctions (SM_StochasticOutput< StochOutputImplement > &outputSData)
 run the simulations with static inline casting noise rate function & stochastic function More...
 
template<class StochFunctionsImplement , class StochOutputImplement >
tBoolean runWithSCStochasticFunctions (SM_MultiStochasticFunctions< StochFunctionsImplement > &stochFunctions, SM_StochasticOutput< StochOutputImplement > &outputSData)
 run the simulations with static inline casting noise rate function & stochastic function More...
 
template<class StochFunctionsImplement , class NoiseRateFunctionImplement , class StochOutputImplement >
tBoolean runWithSCStochasticFunctions (SM_MultiStochasticFunctions< StochFunctionsImplement > &stochFunctions, const SM_NoiseRateFunction< NoiseRateFunctionImplement > &noiseRateFunction, SM_StochasticOutput< StochOutputImplement > &outputSData)
 run the simulations with static inline casting noise rate function & stochastic function More...
 
- Public Member Functions inherited from SM_LandauLifschitzBeam
SM_LandauLifschitzSystemgetLLSystem ()
 get the landau lifschitz system
 
const SM_LandauLifschitzSystemgetLLSystem () const
 get the landau lifschitz system
 
template<class StochOutputImplement >
tBoolean run (SM_StochasticOutput< StochOutputImplement > &outputSData)
 run the simulations More...
 
template<class StochOutputImplement >
tBoolean stochasticJRun (SM_StochasticOutput< StochOutputImplement > &outputSData, const std::function< void(const tReal &, const tReal &, const tReal &, tReal &)> &F)
 run the simulations More...
 
- Public Member Functions inherited from SM_Beam
void setBeamSize (const tIndex &n)
 set the beam size More...
 
void setBeamSize (const tIndex &s0, const tIndex &s1)
 set the beam size More...
 
const tIndex & getBeamSize () const
 get the beam size More...
 
const tIndex & getBeamSize (tIndex &s0, tIndex &s1) const
 get the beam size More...
 
void setPreconditioningStepsNumber (const tIndex &n)
 set the number of steps of preconditioning More...
 
const tIndex & getPreconditioningStepsNumber () const
 get the number of steps for precoditioning More...
 
void setStepsNumber (const tIndex &n)
 set the number of steps for loop More...
 
const tIndex & getStepsNumber () const
 get the number of steps for stochastic computation More...
 
void resetStochasticFunctions ()
 reset the stochastic functions
 
void setStochasticFunctions (CORE_UniquePointer< SM_MultiStochasticFunctionsInterface > &f)
 set the stochastic functions More...
 
tBoolean hasStochasticFunctions () const
 return true if the beam has a stochastic function
 
const SM_MultiStochasticFunctionsInterfacegetStochasticFunctions () const
 get the stochastic functions More...
 
SM_MultiStochasticFunctionsInterfacegetStochasticFunctions ()
 get the stochastic functions More...
 
void setSystem (CORE_UniquePointer< SM_System > system)
 set the system More...
 
const SM_SystemgetSystem () const
 get the system More...
 
SM_SystemgetSystem ()
 get the system More...
 
tBoolean hasSystem () const
 return true if the system of the beam is not null More...
 
void normalize (const tBoolean &isAdimensionized)
 adimensionize the beam data
 
void discretize ()
 discretize its system and its stochastic function
 
template<class System , class StochOutputImplement >
tBoolean run (SM_StochasticOutput< StochOutputImplement > &outputSData)
 run the simulations More...
 
virtual tString toString () const override
 turn the class into a string representation More...
 
- Public Member Functions inherited from SM_Object
 SM_Object (void)
 create
 
virtual ~SM_Object (void)
 destroy
 
- Public Member Functions inherited from CORE_Object
template<class T >
std::shared_ptr< T > getSharedPointer ()
 return the shared pointer for this More...
 
template<class T >
std::shared_ptr< const T > getConstSharedPointer () const
 return a const shared pointer for this More...
 
template<class T >
tBoolean isInstanceOf () const
 test if the clas T is an instance of this class More...
 
tString getClassName () const
 return the name of the class More...
 
tString getPointerString () const
 retrun the pointer of the class as a string More...
 
tString getIdentityString () const
 retrun the string identification of the class More...
 

Static Public Member Functions

static CORE_UniquePointer< SelfNew ()
 build an unique pointer of the class this More...
 
- Static Public Member Functions inherited from CORE_Object
static tBoolean EnableMemoryStack (const tBoolean &isMemoryChecked)
 enable the memory stack More...
 
static void EnableMemoryStack ()
 enable the memory stack
 
static void DisableMemoryStack ()
 disable the memory stack
 
static tBoolean IsMemoryStackEnabled ()
 return trur if the memory stack is enabled
 
static tString MemoryStackToString ()
 get the memory stack in string More...
 
static tIndex GetRegisteredClassesNumber ()
 get the memory stack in string More...
 

Protected Member Functions

 SMOMPI_LandauLifschitzBeam (void)
 create
 
virtual ~SMOMPI_LandauLifschitzBeam (void)
 destroy
 
- Protected Member Functions inherited from SM_LandauLifschitzBeam
 SM_LandauLifschitzBeam (void)
 create
 
virtual ~SM_LandauLifschitzBeam (void)
 destroy
 
- Protected Member Functions inherited from SM_Beam
 SM_Beam (void)
 create
 
virtual ~SM_Beam (void)
 destroy
 
- Protected Member Functions inherited from CORE_Object
 CORE_Object ()
 build an instance of the object
 
virtual ~CORE_Object ()
 destroy the instance of object std

 

Detailed Description

This class describes an OpenMP/MPI implementation simulation of a beam of trajectoris for a Laudau-Lifschitz system.

The simulation of a beam follows the algorithm:

image html beamAlgorithm.png

Author
Stephane Despreaux
Version
2.0

Member Function Documentation

◆ getContentsMemorySize()

virtual tMemSize SMOMPI_LandauLifschitzBeam::getContentsMemorySize ( ) const
inlineoverridevirtual

return the memory size of the included associations

Returns
the memory size of the storage in bytes 1 Kb = 1024 bytes 1 Mb = 1024 Kb 1 Gb = 1024 Mb 1 Tb = 1024 Gb 1 Hb = 1024 Tb

Reimplemented from SM_LandauLifschitzBeam.

◆ getMemorySize()

virtual tMemSize SMOMPI_LandauLifschitzBeam::getMemorySize ( ) const
inlineoverridevirtual

return the memory size of the class and the memory size of all its attributes/associations

Returns
the memory size of the class and the memory size of its attributes/associations in bytes The mamory size is :
  • the added size of the base classes which contains:
    • the primary attributes size depends on the order: (first delare the smallest attributes size
    • all virtual functions costs <pointer-size> (4 32xor 8 64x) bytes by virtual function
    • virtual inherihtance will increase of (4 or 8) bytes
  • we add the size of the contains values of the attributes : for example the size of a string is the length of the string 1 octet = 1 byte 1 Ko = 1024 bytes 1 Mo = 1024 Ko 1 Go = 1024 Mo

Reimplemented from SM_LandauLifschitzBeam.

◆ New()

static CORE_UniquePointer<Self> SMOMPI_LandauLifschitzBeam::New ( )
inlinestatic

build an unique pointer of the class this

Returns
an unique pointer of class this

◆ runWithSCStochasticFunctions() [1/3]

template<class StochFunctionsImplement , class NoiseRateFunctionImplement , class StochOutputImplement >
tBoolean SMOMPI_LandauLifschitzBeam::runWithSCStochasticFunctions ( SM_MultiStochasticFunctions< StochFunctionsImplement > &  stochFunctions,
const SM_NoiseRateFunction< NoiseRateFunctionImplement > &  noiseRateFunction,
SM_StochasticOutput< StochOutputImplement > &  outputSData 
)

run the simulations with static inline casting noise rate function & stochastic function

Template Parameters
StochFunctionsImplement: implemented class SM_StochasticFunctions
NoiseRateFunctionImplement: implemented class SM_NoiseRateFunction
StochOutputImplement: implemented class SM_StochasticOutput
Parameters
[in,out]stochFunctions: stochastic function
[in]noiseRateFunction: noise rate function
[out]outputSData: stochastic data to save at each time & simulation
Returns
true if the running has succeeded

◆ runWithSCStochasticFunctions() [2/3]

template<class StochFunctionsImplement , class StochOutputImplement >
tBoolean SMOMPI_LandauLifschitzBeam::runWithSCStochasticFunctions ( SM_MultiStochasticFunctions< StochFunctionsImplement > &  stochFunctions,
SM_StochasticOutput< StochOutputImplement > &  outputSData 
)

run the simulations with static inline casting noise rate function & stochastic function

Template Parameters
StochFunctionsImplement: implemented class SM_StochasticFunctions
StochOutputImplement: implemented class SM_StochasticOutput
Parameters
[in,out]stochFunctions: stochastic function
[out]outputSData: stochastic data to save at each time & simulation
Returns
true if the running has succeeded

◆ runWithSCStochasticFunctions() [3/3]

template<class StochOutputImplement >
tBoolean SMOMPI_LandauLifschitzBeam::runWithSCStochasticFunctions ( SM_StochasticOutput< StochOutputImplement > &  outputSData)

run the simulations with static inline casting noise rate function & stochastic function

Template Parameters
StochOutputImplement: implemented class SM_StochasticOutput
Parameters
[out]outputSData: stochastic data to save at each time & simulation
Returns
true if the running has succeeded

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