Integration of an arbitrary 2D function from (qx_min, qy_min) to (qx_max, qy_max) using TBB. More...

#include <integrator_2D_cartesian_gpu.hh>

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
	Integrator2DCartesianGPU (QuadratureProvider &quadrature_provider, const std::array< uint, 2 > grid_sizes, const ctype x_extent, const JSONValue &json)
	Construct a new Integrator2DCartesianGPU object.

	Integrator2DCartesianGPU (QuadratureProvider &quadrature_provider, std::array< uint, 2 > grid_sizes, const ctype x_extent=0., const uint max_block_size=256, const ctype qx_min=-M_PI, const ctype qy_min=-M_PI, const ctype qx_max=M_PI, const ctype qy_max=M_PI)
	Construct a new Integrator2DCartesianGPU object.

	Integrator2DCartesianGPU (const Integrator2DCartesianGPU &other)
	Copy a Integrator2DCartesianGPU object.

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

void	set_qy_min (const ctype qy_min)
	Set the minimum value of the qy integration range.

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

void	set_qy_max (const ctype qy_max)
	Set the maximum value of the qy 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 Types
using	PoolMR = rmm::mr::pool_memory_resource<rmm::mr::device_memory_resource>

Private Attributes
const std::array< uint, 2 >	grid_sizes

std::array< uint, 2 >	block_sizes

const uint	device_data_size

ctype	qx_min = -M_PI

ctype	qy_min = -M_PI

ctype	qx_extent = 2 * M_PI

ctype	qy_extent = 2 * M_PI

const ctype *	ptr_x_quadrature_p

const ctype *	ptr_x_quadrature_w

const ctype *	ptr_y_quadrature_p

const ctype *	ptr_y_quadrature_w

dim3	num_blocks

dim3	threads_per_block

PoolMR	pool

const rmm::cuda_stream_pool	cuda_stream_pool

Detailed Description

template<typename NT, typename KERNEL>
class DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >

Integration of an arbitrary 2D function from (qx_min, qy_min) to (qx_max, qy_max) using TBB.

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::Integrator2DCartesianGPU< NT, KERNEL >::ctype = typename get_type::ctype<NT>

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

◆ PoolMR

template<typename NT , typename KERNEL >

using DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::PoolMR = rmm::mr::pool_memory_resource<rmm::mr::device_memory_resource>

private

Constructor & Destructor Documentation

◆ Integrator2DCartesianGPU() [1/3]

template<typename NT , typename KERNEL >

DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::Integrator2DCartesianGPU	(	QuadratureProvider &	quadrature_provider,
		const std::array< uint, 2 >	grid_sizes,
		const ctype	x_extent,
		const JSONValue &	json )

inline

Construct a new Integrator2DCartesianGPU object.

Parameters

quadrature_provider	The quadrature provider to use.
grid_sizes	The number of grid points in x and y direction.
x_extent	This argument is not used, but kept for compatibility with flow classes.
json	The JSON object containing the configuration.

◆ Integrator2DCartesianGPU() [2/3]

template<typename NT , typename KERNEL >

DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::Integrator2DCartesianGPU	(	QuadratureProvider &	quadrature_provider,
		std::array< uint, 2 >	grid_sizes,
		const ctype	x_extent = 0.,
		const uint	max_block_size = 256,
		const ctype	qx_min = -M_PI,
		const ctype	qy_min = -M_PI,
		const ctype	qx_max = M_PI,
		const ctype	qy_max = M_PI )

inline

Construct a new Integrator2DCartesianGPU object.

Parameters

quadrature_provider	The quadrature provider to use.
grid_sizes	The number of grid points in x and y direction.
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.
qy_min	The minimum value of the y integration range.
qx_max	The maximum value of the x integration range.
qy_max	The maximum value of the y integration range.

◆ Integrator2DCartesianGPU() [3/3]

template<typename NT , typename KERNEL >

DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::Integrator2DCartesianGPU ( const Integrator2DCartesianGPU< NT, KERNEL > & other )

inline

Copy a Integrator2DCartesianGPU object.

Parameters

other The other Integrator2DCartesianGPU object to copy.

Member Function Documentation

◆ get()

template<typename NT , typename KERNEL >

template<typename... T>

NT DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::get	(	const ctype	k,
		const T &...	t ) const

inline

Get the result of the integration.

Parameters

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

Returns: The result of the integration.

◆ request()

template<typename NT , typename KERNEL >

template<typename... T>

std::future< NT > DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::request	(	const ctype	k,
		const T &...	t ) const

inline

Get the result of the integration asynchronously.

Parameters

k	The current RG scale.
t	The remaining 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::Integrator2DCartesianGPU< 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::Integrator2DCartesianGPU< NT, KERNEL >::set_qx_min ( const ctype qx_min )

inline

Set the minimum value of the qx integration range.

◆ set_qy_max()

template<typename NT , typename KERNEL >

void DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::set_qy_max ( const ctype qy_max )

inline

Set the maximum value of the qy integration range.

◆ set_qy_min()

template<typename NT , typename KERNEL >

void DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::set_qy_min ( const ctype qy_min )

inline

Set the minimum value of the qy integration range.

Member Data Documentation

◆ block_sizes

template<typename NT , typename KERNEL >

std::array<uint, 2> DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::block_sizes

private

◆ cuda_stream_pool

template<typename NT , typename KERNEL >

const rmm::cuda_stream_pool DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::cuda_stream_pool

private

◆ device_data_size

template<typename NT , typename KERNEL >

const uint DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::device_data_size

private

◆ grid_sizes

template<typename NT , typename KERNEL >

const std::array<uint, 2> DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::grid_sizes

private

◆ num_blocks

template<typename NT , typename KERNEL >

dim3 DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::num_blocks

private

◆ pool

template<typename NT , typename KERNEL >

PoolMR DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::pool

mutableprivate

◆ ptr_x_quadrature_p

template<typename NT , typename KERNEL >

const ctype* DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::ptr_x_quadrature_p

private

◆ ptr_x_quadrature_w

template<typename NT , typename KERNEL >

const ctype* DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::ptr_x_quadrature_w

private

◆ ptr_y_quadrature_p

template<typename NT , typename KERNEL >

const ctype* DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::ptr_y_quadrature_p

private

◆ ptr_y_quadrature_w

template<typename NT , typename KERNEL >

const ctype* DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::ptr_y_quadrature_w

private

◆ qx_extent

template<typename NT , typename KERNEL >

ctype DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::qx_extent = 2 * M_PI

private

◆ qx_min

template<typename NT , typename KERNEL >

ctype DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::qx_min = -M_PI

private

◆ qy_extent

template<typename NT , typename KERNEL >

ctype DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::qy_extent = 2 * M_PI

private

◆ qy_min

template<typename NT , typename KERNEL >

ctype DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::qy_min = -M_PI

private

◆ threads_per_block

template<typename NT , typename KERNEL >

dim3 DiFfRG::Integrator2DCartesianGPU< NT, KERNEL >::threads_per_block

private

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

/home/runner/work/DiFfRG/DiFfRG/DiFfRG/include/DiFfRG/physics/integration/integrator_2D_cartesian_gpu.hh

Public Types

Public Member Functions

Private Types

Private Attributes

Detailed Description

Member Typedef Documentation

◆ ctype

◆ PoolMR

Constructor & Destructor Documentation

◆ Integrator2DCartesianGPU() [1/3]

◆ Integrator2DCartesianGPU() [2/3]

◆ Integrator2DCartesianGPU() [3/3]

Member Function Documentation

◆ get()

◆ request()

◆ set_qx_max()

◆ set_qx_min()

◆ set_qy_max()

◆ set_qy_min()

Member Data Documentation

◆ block_sizes

◆ cuda_stream_pool

◆ device_data_size

◆ grid_sizes

◆ num_blocks

◆ pool

◆ ptr_x_quadrature_p

◆ ptr_x_quadrature_w

◆ ptr_y_quadrature_p

◆ ptr_y_quadrature_w

◆ qx_extent

◆ qx_min

◆ qy_extent

◆ qy_min

◆ threads_per_block