Integration of an arbitrary 1D function from qx_min to qx_max using CUDA. More...

#include <integrator_1D_cartesian_gpu.hh>

Classes
struct	functor
	Custom functor for the thrust::transform_reduce function. More...

Public Types
using	ctype = typename get_type::ctype<NT>
	Numerical type to be used for integration tasks e.g. the argument or possible jacobians.

Public Member Functions
	Integrator1DCartesianGPU (QuadratureProvider &quadrature_provider, const std::array< uint, 1 > grid_size, const ctype x_extent=0., const uint max_block_size=0, const ctype qx_min=-M_PI, const ctype qx_max=M_PI)
	Construct a new Integrator1DCartesianGPU object.

	Integrator1DCartesianGPU (QuadratureProvider &quadrature_provider, const std::array< uint, 1 > grid_size, const JSONValue &json)
	Construct a new Integrator1DCartesianGPU object.

	Integrator1DCartesianGPU (QuadratureProvider &quadrature_provider, const std::array< uint, 1 > grid_size, const ctype x_extent, const JSONValue &json)
	Construct a new Integrator1DCartesianGPU object.

	Integrator1DCartesianGPU (QuadratureProvider &quadrature_provider, const uint grid_size, const ctype x_extent=0., const ctype qx_min=-M_PI, const ctype qx_max=M_PI)
	Construct a new Integrator1DCartesianGPU object.

	Integrator1DCartesianGPU (const Integrator1DCartesianGPU &other)
	Construct a copy of an existing Integrator1DCartesianGPU object.

void	set_qx_min (const ctype qx_min)
	Set the minimum value of the qx integration range.

void	set_qx_max (const ctype qx_max)
	Set the maximum value of the qx integration range.

template<typename... T>
NT	get (const ctype k, const T &...t) const
	Get the result of the integration.

template<typename... T>
std::future< NT >	request (const ctype k, const T &...t) const
	Get the result of the integration asynchronously.

Private Attributes
const uint	grid_size

ctype	qx_min = -M_PI

ctype	qx_extent = 2. * M_PI

const ctype *	ptr_x_quadrature_p

const ctype *	ptr_x_quadrature_w

Detailed Description

template<typename NT, typename KERNEL>
class DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >

Integration of an arbitrary 1D function from qx_min to qx_max using CUDA.

Template Parameters

NT	The numerical type of the result.
KERNEL	The kernel to integrate.

Member Typedef Documentation

◆ ctype

template<typename NT , typename KERNEL >

using DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::ctype = typename get_type::ctype<NT>

Numerical type to be used for integration tasks e.g. the argument or possible jacobians.

Constructor & Destructor Documentation

◆ Integrator1DCartesianGPU() [1/5]

template<typename NT , typename KERNEL >

DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::Integrator1DCartesianGPU	(	QuadratureProvider &	quadrature_provider,
		const std::array< uint, 1 >	grid_size,
		const ctype	x_extent = 0.,
		const uint	max_block_size = 0,
		const ctype	qx_min = -M_PI,
		const ctype	qx_max = M_PI )

inline

Construct a new Integrator1DCartesianGPU object.

Parameters

quadrature_provider	The quadrature provider to use.
grid_size	The number of grid points to use.
x_extent	This argument is not used, but kept for compatibility with flow classes.
max_block_size	The maximum block size to use on GPU.
qx_min	The minimum value of the qx integration range.
qx_max	The maximum value of the qx integration range.

◆ Integrator1DCartesianGPU() [2/5]

template<typename NT , typename KERNEL >

DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::Integrator1DCartesianGPU	(	QuadratureProvider &	quadrature_provider,
		const std::array< uint, 1 >	grid_size,
		const JSONValue &	json )

inline

Construct a new Integrator1DCartesianGPU object.

Parameters

quadrature_provider	The quadrature provider to use.
grid_size	The number of grid points to use.
json	The JSON object to read additional parameters from.

◆ Integrator1DCartesianGPU() [3/5]

template<typename NT , typename KERNEL >

DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::Integrator1DCartesianGPU	(	QuadratureProvider &	quadrature_provider,
		const std::array< uint, 1 >	grid_size,
		const ctype	x_extent,
		const JSONValue &	json )

inline

Construct a new Integrator1DCartesianGPU object.

Parameters

quadrature_provider	The quadrature provider to use.
grid_size	The number of grid points to use.
x_extent	This argument is not used, but kept for compatibility with flow classes.
json	The JSON object to read additional parameters from.

◆ Integrator1DCartesianGPU() [4/5]

template<typename NT , typename KERNEL >

DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::Integrator1DCartesianGPU	(	QuadratureProvider &	quadrature_provider,
		const uint	grid_size,
		const ctype	x_extent = 0.,
		const ctype	qx_min = -M_PI,
		const ctype	qx_max = M_PI )

inline

Construct a new Integrator1DCartesianGPU object.

Parameters

quadrature_provider	The quadrature provider to use.
grid_size	The number of grid points to use.
x_extent	This argument is not used, but kept for compatibility with flow classes.
qx_min	The minimum value of the qx integration range.
qx_max	The maximum value of the qx integration range.

◆ Integrator1DCartesianGPU() [5/5]

template<typename NT , typename KERNEL >

DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::Integrator1DCartesianGPU ( const Integrator1DCartesianGPU< NT, KERNEL > & other )

inline

Construct a copy of an existing Integrator1DCartesianGPU object.

Parameters

other The object to copy.

Member Function Documentation

◆ get()

template<typename NT , typename KERNEL >

template<typename... T>

NT DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::get	(	const ctype	k,
		const T &...	t ) const

inline

Get the result of the integration.

Template Parameters

T	The types of the additional arguments to the kernel.

Parameters

k	The current RG scale.
t	The additional arguments of the kernel.

Returns: The result of the integration.

◆ request()

template<typename NT , typename KERNEL >

template<typename... T>

std::future< NT > DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::request	(	const ctype	k,
		const T &...	t ) const

inline

Get the result of the integration asynchronously.

Template Parameters

T	The types of the additional arguments to the kernel.

Parameters

k	The current RG scale.
t	The additional arguments of the kernel.

Returns: An std::future<NT> which returns the result of the integration.

◆ set_qx_max()

template<typename NT , typename KERNEL >

void DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::set_qx_max ( const ctype qx_max )

inline

Set the maximum value of the qx integration range.

◆ set_qx_min()

template<typename NT , typename KERNEL >

void DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::set_qx_min ( const ctype qx_min )

inline

Set the minimum value of the qx integration range.

Member Data Documentation

◆ grid_size

template<typename NT , typename KERNEL >

const uint DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::grid_size

private

◆ ptr_x_quadrature_p

template<typename NT , typename KERNEL >

const ctype* DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::ptr_x_quadrature_p

private

◆ ptr_x_quadrature_w

template<typename NT , typename KERNEL >

const ctype* DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::ptr_x_quadrature_w

private

◆ qx_extent

template<typename NT , typename KERNEL >

ctype DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::qx_extent = 2. * M_PI

private

◆ qx_min

template<typename NT , typename KERNEL >

ctype DiFfRG::Integrator1DCartesianGPU< NT, KERNEL >::qx_min = -M_PI

private

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

/home/runner/work/DiFfRG/DiFfRG/DiFfRG/include/DiFfRG/physics/integration/integrator_1D_cartesian_gpu.hh

Classes

Public Types

Public Member Functions

Private Attributes

Detailed Description

Member Typedef Documentation

◆ ctype

Constructor & Destructor Documentation

◆ Integrator1DCartesianGPU() [1/5]

◆ Integrator1DCartesianGPU() [2/5]

◆ Integrator1DCartesianGPU() [3/5]

◆ Integrator1DCartesianGPU() [4/5]

◆ Integrator1DCartesianGPU() [5/5]

Member Function Documentation

◆ get()

◆ request()

◆ set_qx_max()

◆ set_qx_min()

Member Data Documentation

◆ grid_size

◆ ptr_x_quadrature_p

◆ ptr_x_quadrature_w

◆ qx_extent

◆ qx_min