#include <integrator_finiteTq0_gpu.hh>

Public Types
using	ctype = typename get_type::ctype<NT>

Public Member Functions
	IntegratorFiniteTq0GPU (QuadratureProvider &quadrature_provider, const std::array< uint, 1 > grid_sizes, const ctype x_extent, const JSONValue &json)

	IntegratorFiniteTq0GPU (QuadratureProvider &quadrature_provider, const std::array< uint, 1 > _grid_sizes, const ctype x_extent, const ctype T, const uint max_block_size=256)

void	reinit ()

void	set_T (const ctype T, const ctype E=0)
	Set the temperature and typical energy scale of the integrator and recompute the Matsubara quadrature rule.

void	set_E (const ctype E)
	Set the typical energy scale of the integrator and recompute the Matsubara quadrature rule.

	IntegratorFiniteTq0GPU (const IntegratorFiniteTq0GPU &other)

template<typename... T>
NT	get (const ctype k, const T &...t)

template<typename... T>
std::future< NT >	request (const ctype k, const T &...t)

Private Types
using	PoolMR = rmm::mr::pool_memory_resource<rmm::mr::device_memory_resource>

Private Attributes
QuadratureProvider &	quadrature_provider

std::array< uint, 2 >	grid_sizes

std::array< uint, 2 >	block_sizes

uint	device_data_size

const ctype *	ptr_x_quadrature_p

const ctype *	ptr_x_quadrature_w

const ctype *	ptr_matsubara_quadrature_p

const ctype *	ptr_matsubara_quadrature_w

const ctype	x_extent

ctype	m_T

ctype	m_E

bool	manual_E

const uint	max_block_size

dim3	num_blocks

dim3	threads_per_block

PoolMR	pool

const rmm::cuda_stream_pool	cuda_stream_pool

Member Typedef Documentation

◆ ctype

template<int d, typename NT , typename KERNEL >

using DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::ctype = typename get_type::ctype<NT>

◆ PoolMR

template<int d, typename NT , typename KERNEL >

using DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::PoolMR = rmm::mr::pool_memory_resource<rmm::mr::device_memory_resource>

private

Constructor & Destructor Documentation

◆ IntegratorFiniteTq0GPU() [1/3]

template<int d, typename NT , typename KERNEL >

DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::IntegratorFiniteTq0GPU	(	QuadratureProvider &	quadrature_provider,
		const std::array< uint, 1 >	grid_sizes,
		const ctype	x_extent,
		const JSONValue &	json )

inline

◆ IntegratorFiniteTq0GPU() [2/3]

template<int d, typename NT , typename KERNEL >

DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::IntegratorFiniteTq0GPU	(	QuadratureProvider &	quadrature_provider,
		const std::array< uint, 1 >	_grid_sizes,
		const ctype	x_extent,
		const ctype	T,
		const uint	max_block_size = 256 )

inline

◆ IntegratorFiniteTq0GPU() [3/3]

template<int d, typename NT , typename KERNEL >

DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::IntegratorFiniteTq0GPU ( const IntegratorFiniteTq0GPU< d, NT, KERNEL > & other )

inline

Member Function Documentation

◆ get()

template<int d, typename NT , typename KERNEL >

template<typename... T>

NT DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::get	(	const ctype	k,
		const T &...	t )

inline

◆ reinit()

template<int d, typename NT , typename KERNEL >

void DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::reinit ( )

inline

◆ request()

template<int d, typename NT , typename KERNEL >

template<typename... T>

std::future< NT > DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::request	(	const ctype	k,
		const T &...	t )

inline

◆ set_E()

template<int d, typename NT , typename KERNEL >

void DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::set_E ( const ctype E )

inline

Set the typical energy scale of the integrator and recompute the Matsubara quadrature rule.

Parameters

E	The typical energy scale.

◆ set_T()

template<int d, typename NT , typename KERNEL >

void DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::set_T	(	const ctype	T,
		const ctype	E = 0 )

inline

Set the temperature and typical energy scale of the integrator and recompute the Matsubara quadrature rule.

Parameters

T	The temperature.
E	A typical energy scale, which determines the number of nodes in the quadrature rule.

Member Data Documentation

◆ block_sizes

template<int d, typename NT , typename KERNEL >

std::array<uint, 2> DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::block_sizes

private

◆ cuda_stream_pool

template<int d, typename NT , typename KERNEL >

const rmm::cuda_stream_pool DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::cuda_stream_pool

private

◆ device_data_size

template<int d, typename NT , typename KERNEL >

uint DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::device_data_size

private

◆ grid_sizes

template<int d, typename NT , typename KERNEL >

std::array<uint, 2> DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::grid_sizes

private

◆ m_E

template<int d, typename NT , typename KERNEL >

ctype DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::m_E

private

◆ m_T

template<int d, typename NT , typename KERNEL >

ctype DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::m_T

private

◆ manual_E

template<int d, typename NT , typename KERNEL >

bool DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::manual_E

private

◆ max_block_size

template<int d, typename NT , typename KERNEL >

const uint DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::max_block_size

private

◆ num_blocks

template<int d, typename NT , typename KERNEL >

dim3 DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::num_blocks

private

◆ pool

template<int d, typename NT , typename KERNEL >

PoolMR DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::pool

mutableprivate

◆ ptr_matsubara_quadrature_p

template<int d, typename NT , typename KERNEL >

const ctype* DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::ptr_matsubara_quadrature_p

private

◆ ptr_matsubara_quadrature_w

template<int d, typename NT , typename KERNEL >

const ctype* DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::ptr_matsubara_quadrature_w

private

◆ ptr_x_quadrature_p

template<int d, typename NT , typename KERNEL >

const ctype* DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::ptr_x_quadrature_p

private

◆ ptr_x_quadrature_w

template<int d, typename NT , typename KERNEL >

const ctype* DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::ptr_x_quadrature_w

private

◆ quadrature_provider

template<int d, typename NT , typename KERNEL >

QuadratureProvider& DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::quadrature_provider

private

◆ threads_per_block

template<int d, typename NT , typename KERNEL >

dim3 DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::threads_per_block

private

◆ x_extent

template<int d, typename NT , typename KERNEL >

const ctype DiFfRG::IntegratorFiniteTq0GPU< d, NT, KERNEL >::x_extent

private

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

/home/runner/work/DiFfRG/DiFfRG/DiFfRG/include/DiFfRG/physics/integration_finiteT/integrator_finiteTq0_gpu.hh

Public Types

Public Member Functions

Private Types

Private Attributes

Member Typedef Documentation

◆ ctype

◆ PoolMR

Constructor & Destructor Documentation

◆ IntegratorFiniteTq0GPU() [1/3]

◆ IntegratorFiniteTq0GPU() [2/3]

◆ IntegratorFiniteTq0GPU() [3/3]

Member Function Documentation

◆ get()

◆ reinit()

◆ request()

◆ set_E()

◆ set_T()

Member Data Documentation

◆ block_sizes

◆ cuda_stream_pool

◆ device_data_size

◆ grid_sizes

◆ m_E

◆ m_T

◆ manual_E

◆ max_block_size

◆ num_blocks

◆ pool

◆ ptr_matsubara_quadrature_p

◆ ptr_matsubara_quadrature_w

◆ ptr_x_quadrature_p

◆ ptr_x_quadrature_w

◆ quadrature_provider

◆ threads_per_block

◆ x_extent