batch_ops_oct_m::batch_axpy Interface Reference

batchified version of the BLAS axpy routine: \( y = a*x + y \) More...

Detailed Description

batchified version of the BLAS axpy routine: \( y = a*x + y \)

Definition at line 154 of file batch_ops.F90.

Private Member Functions
subroutine	dbatch_axpy_const (np, aa, xx, yy)
	This routine applies a 'pair-wise' axpy operation to all functions of the batches xx and yy, where the same constant aa is used for all functions. More...
subroutine	zbatch_axpy_const (np, aa, xx, yy)
	This routine applies a 'pair-wise' axpy operation to all functions of the batches xx and yy, where the same constant aa is used for all functions. More...
subroutine	dbatch_axpy_vec (np, aa, xx, yy, a_start, a_full)
	This routine applies an 'pair-wise' axpy operation to all functions of the batches xx and yy, where the constant aa(ist) is used for the mesh functions in the batch. More...
subroutine	zbatch_axpy_vec (np, aa, xx, yy, a_start, a_full)
	This routine applies an 'pair-wise' axpy operation to all functions of the batches xx and yy, where the constant aa(ist) is used for the mesh functions in the batch. More...

Member Function/Subroutine Documentation

dbatch_axpy_const()

subroutine batch_ops_oct_m::batch_axpy::dbatch_axpy_const ( integer, intent(in)  np, real(real64), intent(in)  aa, class(batch_t), intent(in)  xx, class(batch_t), intent(inout)  yy  )

private

This routine applies a 'pair-wise' axpy operation to all functions of the batches xx and yy, where the same constant aa is used for all functions.

Parameters

[in]	np	number of points
[in,out]	yy	yy(:,:) = aa*xx(:,:) + yy(:,:)

Definition at line 692 of file batch_ops.F90.

zbatch_axpy_const()

subroutine batch_ops_oct_m::batch_axpy::zbatch_axpy_const ( integer, intent(in)  np, complex(real64), intent(in)  aa, class(batch_t), intent(in)  xx, class(batch_t), intent(inout)  yy  )

private

This routine applies a 'pair-wise' axpy operation to all functions of the batches xx and yy, where the same constant aa is used for all functions.

Parameters

[in]	np	number of points
[in,out]	yy	yy(:,:) = aa*xx(:,:) + yy(:,:)

Definition at line 2229 of file batch_ops.F90.

dbatch_axpy_vec()

subroutine batch_ops_oct_m::batch_axpy::dbatch_axpy_vec ( integer, intent(in)  np, real(real64), dimension(:), intent(in)  aa, class(batch_t), intent(in)  xx, class(batch_t), intent(inout)  yy, integer, intent(in), optional  a_start, logical, intent(in), optional  a_full  )

private

This routine applies an 'pair-wise' axpy operation to all functions of the batches xx and yy, where the constant aa(ist) is used for the mesh functions in the batch.

Parameters

[in]	np	number of points
[in]	aa	array of multipliers
[in,out]	yy	y(ist,:) = aa(ist) * x(ist,:) + y(ist,:)
[in]	a_start	first state to operate on (default = 1)
[in]	a_full	Is aa of size st:nst?

By default, aa is expected to be of size stnst, i.e., an array of the size of all states. The correct states will be picked from the indices stored in each batch. This is used, for example, for computing residuals given the eigenvalues. For a_full=.false., aa is expected to be of size yynst_linear, i.e. it has the size of the batch only.

Definition at line 781 of file batch_ops.F90.

zbatch_axpy_vec()

subroutine batch_ops_oct_m::batch_axpy::zbatch_axpy_vec ( integer, intent(in)  np, complex(real64), dimension(:), intent(in)  aa, class(batch_t), intent(in)  xx, class(batch_t), intent(inout)  yy, integer, intent(in), optional  a_start, logical, intent(in), optional  a_full  )

private

This routine applies an 'pair-wise' axpy operation to all functions of the batches xx and yy, where the constant aa(ist) is used for the mesh functions in the batch.

Parameters

[in]	np	number of points
[in]	aa	array of multipliers
[in,out]	yy	y(ist,:) = aa(ist) * x(ist,:) + y(ist,:)
[in]	a_start	first state to operate on (default = 1)
[in]	a_full	Is aa of size st:nst?

By default, aa is expected to be of size stnst, i.e., an array of the size of all states. The correct states will be picked from the indices stored in each batch. This is used, for example, for computing residuals given the eigenvalues. For a_full=.false., aa is expected to be of size yynst_linear, i.e. it has the size of the batch only.

Definition at line 2318 of file batch_ops.F90.

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

• grid/batch_ops.F90