SELF_Tensor_2D Module

  1. SELF_Tensor_2D.f90
  2. SELF_Tensor_2D

Uses

  • module~~self_tensor_2d~2~~UsesGraph module~self_tensor_2d~2 SELF_Tensor_2D iso_fortran_env iso_fortran_env module~self_tensor_2d~2->iso_fortran_env module~self_constants SELF_Constants module~self_tensor_2d~2->module~self_constants iso_c_binding iso_c_binding module~self_tensor_2d~2->iso_c_binding module~self_gpu SELF_GPU module~self_tensor_2d~2->module~self_gpu module~self_tensor_2d_t SELF_Tensor_2D_t module~self_tensor_2d~2->module~self_tensor_2d_t module~self_constants->iso_fortran_env module~self_constants->iso_c_binding module~self_gpu->iso_c_binding module~self_gpu_enums~2 SELF_GPU_enums module~self_gpu->module~self_gpu_enums~2 module~self_tensor_2d_t->module~self_constants module~self_tensor_2d_t->iso_c_binding HDF5 HDF5 module~self_tensor_2d_t->HDF5 module~self_datapool SELF_DataPool module~self_tensor_2d_t->module~self_datapool FEQParse FEQParse module~self_tensor_2d_t->FEQParse module~self_metadata SELF_Metadata module~self_tensor_2d_t->module~self_metadata module~self_data SELF_Data module~self_tensor_2d_t->module~self_data module~self_lagrange~3 SELF_Lagrange module~self_tensor_2d_t->module~self_lagrange~3 module~self_hdf5 SELF_HDF5 module~self_tensor_2d_t->module~self_hdf5 module~self_gpu_enums~2->iso_c_binding module~self_datapool->module~self_constants module~self_metadata->HDF5 module~self_metadata->module~self_hdf5 module~self_data->module~self_constants module~self_data->iso_c_binding module~self_data->HDF5 module~self_data->FEQParse module~self_data->module~self_metadata module~self_data->module~self_lagrange~3 module~self_data->module~self_hdf5 module~self_lagrange~3->iso_fortran_env module~self_lagrange~3->module~self_constants module~self_lagrange~3->iso_c_binding module~self_lagrange_t SELF_Lagrange_t module~self_lagrange~3->module~self_lagrange_t module~self_hdf5->iso_fortran_env module~self_hdf5->module~self_constants module~self_hdf5->HDF5 mpi mpi module~self_hdf5->mpi module~self_lagrange_t->iso_fortran_env module~self_lagrange_t->module~self_constants module~self_lagrange_t->iso_c_binding module~self_lagrange_t->HDF5 module~self_lagrange_t->module~self_hdf5 module~self_supportroutines SELF_SupportRoutines module~self_lagrange_t->module~self_supportroutines module~self_quadrature SELF_Quadrature module~self_lagrange_t->module~self_quadrature module~self_supportroutines->iso_fortran_env module~self_supportroutines->module~self_constants module~self_quadrature->iso_fortran_env module~self_quadrature->module~self_constants

Contents

Derived Types

Subroutines


Derived Types

type, public, extends(Tensor2D_t) :: Tensor2D

Components

TypeVisibilityAttributesNameInitial
integer, public :: M
integer, public :: N
integer(kind=c_size_t), public :: alloc_boundary =0
integer(kind=c_size_t), public :: alloc_extBoundary =0
integer(kind=c_size_t), public :: alloc_interior =0
character(len=3), public :: backend ="gpu"
real(kind=prec), public, pointer, contiguous, dimension(:,:,:,:,:,:):: boundary
type(c_ptr), public :: boundary_gpu
type(EquationParser), public, allocatable:: eqn(:)
real(kind=prec), public, pointer, contiguous, dimension(:,:,:,:,:,:):: extBoundary

High-water-mark backing store for the arrays above (AMR Stage 6b/6c; see SELF_DataPool). The public members are pointers remapped onto the leading part of these pools at the exact logical shape, so every extent, stride and shape() is unchanged while Resize can reuse the storage across an adaptation epoch. Nothing should index the pools directly.
type(c_ptr), public :: extBoundary_gpu

Bytes currently allocated for each device buffer, so Resize can reuse them (Stage 6b/6c).
real(kind=prec), public, pointer, contiguous, dimension(:,:,:,:,:,:):: interior
type(c_ptr), public :: interior_gpu
type(Lagrange), public, pointer:: interp
type(Metadata), public, allocatable:: meta(:)
integer, public :: nElem
integer, public :: nVar
real(kind=prec), public, pointer, contiguous:: pool_boundary(:)=> null()
real(kind=prec), public, pointer, contiguous:: pool_extBoundary(:)=> null()
real(kind=prec), public, pointer, contiguous:: pool_interior(:)=> null()

Type-Bound Procedures

procedure, public :: BoundaryInterp => BoundaryInterp_Tensor2D_t
generic, public :: Determinant => Determinant_Tensor2D_t
procedure, public :: Free => Free_Tensor2D
procedure, public :: Init => Init_Tensor2D
procedure, public :: MapArrays => MapArrays_Tensor2D_t
procedure, public :: Resize => Resize_Tensor2D
procedure, public :: SetDescription => SetDescription_DataObj
generic, public :: SetEquation => SetEquation_DataObj
procedure, public :: SetName => SetName_DataObj
procedure, public :: SetUnits => SetUnits_DataObj
procedure, public :: UpdateDevice => UpdateDevice_Tensor2D
procedure, public :: UpdateHost => UpdateHost_Tensor2D

Subroutines

public subroutine EnsureDeviceBuffers_Tensor2D(this)

Grow each device buffer to hold the current logical array, reusing the existing allocation when the bytes already fit (AMR Stage 6b/6c). A device pointer carries no shape, so only byte capacity has to be tracked.

Arguments

TypeIntentOptionalAttributesName
class(Tensor2D), intent(inout) :: this

public subroutine Free_Tensor2D(this)

Arguments

TypeIntentOptionalAttributesName
class(Tensor2D), intent(inout) :: this

public subroutine Init_Tensor2D(this, interp, nVar, nElem)

Arguments

TypeIntentOptionalAttributesName
class(Tensor2D), intent(out) :: this
type(Lagrange), intent(in), target:: interp
integer, intent(in) :: nVar
integer, intent(in) :: nElem

public subroutine Resize_Tensor2D(this, interp, nVar, nElem)

Rebind to a new element count, reusing host pools and device buffers where they fit. Deliberately does NOT call UpdateDevice: Init uploads freshly zeroed arrays, which is pure waste in the adaptive loop because the arrays are rewritten immediately after.

Arguments

TypeIntentOptionalAttributesName
class(Tensor2D), intent(inout) :: this
type(Lagrange), intent(in), target:: interp
integer, intent(in) :: nVar
integer, intent(in) :: nElem

public subroutine UpdateDevice_Tensor2D(this)

Arguments

TypeIntentOptionalAttributesName
class(Tensor2D), intent(inout) :: this

public subroutine UpdateHost_Tensor2D(this)

Arguments

TypeIntentOptionalAttributesName
class(Tensor2D), intent(inout) :: this