Skip to content

GitLab

Unverified Commit 39e2a346 authored by Andreas Marek's avatar Andreas Marek
Browse files

Documentation and interfaces for public availabe functions

parent cddfb00c
Expand all Hide whitespace changes
Inline Side-by-side
Showing with 894 additions and 109 deletions
man/elpa_cholesky_complex.3 0 → 100644
View file @ 39e2a346
.TH "elpa_cholesky_complex" 3 "Wed Jun 29 2016" "ELPA" \" -*- nroff -*-
.ad l
.nh
.SH NAME
elpa_cholesky_complex \- Cholesky factorization of a complex hermetian matrix
.br
.SH SYNOPSIS
.br
.SS FORTRAN INTERFACE
use elpa1
.br
.br
.RI "success = \fBelpa_cholesky_complex\fP (na, a(lda,matrixCols), lda, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebug)"
.br
.RI " "
.br
.RI "With the definintions of the input and output variables:"
.br
.RI "integer, intent(in) \fBna\fP: global dimension of quadratic matrix \fBa\fP to solve"
.br
.RI "complex*16, intent(inout) \fBa\fP: locally distributed part of the matrix \fBa\fP. The local dimensions are \fBlda\fP x \fBmatrixCols\fP"
.br
.RI "integer, intent(in) \fBlda\fP: leading dimension of locally distributed matrix \fBa\fP"
.br
.RI "integer, intent(in) \fBnblk\fP: blocksize of cyclic distribution, must be the same in both directions"
.br
.RI "integer, intent(in) \fBmatrixCols\fP: number of columns of locally distributed matrices \fBa\fP and \fBq\fP"
.br
.RI "integer, intent(in) \fBmpi_comm_rows\fP: communicator for communication in rows. Constructed with \fBget_elpa_communicators\fP(3)"
.br
.RI "integer, intent(in) \fBmpi_comm_cols\fP: communicator for communication in colums. Constructed with \fBget_elpa_communicators\fP(3)"
.br
.RI "logical, intent(in) \fBwantDebug\fP: if .true. , print more debug information in case of an error"
.RI "logical \fBsuccess\fP: return value indicating success or failure"
.br
.SS C INTERFACE
#include "elpa.h"
.br
#include <complex.h>
.br
.RI "\fBint\fP success = \fBelpa_cholesky_complex\fP (\fBint\fP na, \fB double complex *\fPa, \fBint\fP lda, \fBint\fP nblk, \fBint\fP matrixCols, \fBint\fP mpi_comm_rows, \fBint\fP mpi_comm_cols, \fBint\fP wantDebug );"
.br
.RI " "
.br
.RI "With the definintions of the input and output variables:"
.br
.RI "int \fBna\fP: global dimension of quadratic matrix \fBa\fP to solve"
.br
.RI "double complex *\fBa\fP: pointer to locally distributed part of the matrix \fBa\fP. The local dimensions are \fBlda\fP x \fBmatrixCols\fP"
.br
.RI "int \fBlda\fP: leading dimension of locally distributed matrix \fBa\fP"
.br
.RI "int \fBnblk\fP: blocksize of block cyclic distributin, must be the same in both directions"
.br
.RI "int \fBmatrixCols\fP: number of columns of locally distributed matrices \fBa\fP and \fBq\fP"
.br
.RI "int \fBmpi_comm_rows\fP: communicator for communication in rows. Constructed with \fBget_elpa_communicators\fP(3)"
.br
.RI "int \fBmpi_comm_cols\fP: communicator for communication in colums. Constructed with \fBget_elpa_communicators\fP(3)"
.br
.RI "int \fBwantDebug\fP: if 1, print more debug information in case of an error"
.br
.RI "int \fBsuccess\fP: return value indicating success (1) or failure (0)
.SH DESCRIPTION
Does a Cholesky factorization of a complex, hermetian matrix. The ELPA communicators \fBmpi_comm_rows\fP and \fBmpi_comm_cols\fP are obtained with the \fBget_elpa_communicators\fP(3) function. The distributed quadratic marix \fBa\fP has global dimensions \fBna\fP x \fBna\fP, and a local size \fBlda\fP x \fBmatrixCols\fP.
.br
.SH "SEE ALSO"
\fBget_elpa_communicators\fP(3)
man/elpa_cholesky_real.3 0 → 100644
View file @ 39e2a346
.TH "elpa_cholesky_real" 3 "Wed Jun 29 2016" "ELPA" \" -*- nroff -*-
.ad l
.nh
.SH NAME
elpa_cholesky_real \- Cholesky factorization of a real symmetric matrix
.br
.SH SYNOPSIS
.br
.SS FORTRAN INTERFACE
use elpa1
.br
.br
.RI "success = \fBelpa_cholesky_real\fP (na, a(lda,matrixCols), lda, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebug)"
.br
.RI " "
.br
.RI "With the definintions of the input and output variables:"
.br
.RI "integer, intent(in) \fBna\fP: global dimension of quadratic matrix \fBa\fP to solve"
.br
.RI "real*8, intent(inout) \fBa\fP: locally distributed part of the matrix \fBa\fP. The local dimensions are \fBlda\fP x \fBmatrixCols\fP"
.br
.RI "integer, intent(in) \fBlda\fP: leading dimension of locally distributed matrix \fBa\fP"
.br
.RI "integer, intent(in) \fBnblk\fP: blocksize of cyclic distribution, must be the same in both directions"
.br
.RI "integer, intent(in) \fBmatrixCols\fP: number of columns of locally distributed matrices \fBa\fP and \fBq\fP"
.br
.RI "integer, intent(in) \fBmpi_comm_rows\fP: communicator for communication in rows. Constructed with \fBget_elpa_communicators\fP(3)"
.br
.RI "integer, intent(in) \fBmpi_comm_cols\fP: communicator for communication in colums. Constructed with \fBget_elpa_communicators\fP(3)"
.br
.RI "logical, intent(in) \fBwantDebug\fP: if .true. , print more debug information in case of an error"
.RI "logical \fBsuccess\fP: return value indicating success or failure"
.br
.SS C INTERFACE
#include "elpa.h"
.br
.RI "\fBint\fP success = \fBelpa_cholesky_real\fP (\fBint\fP na, \fB double *\fPa, \fBint\fP lda, \fBint\fP nblk, \fBint\fP matrixCols, \fBint\fP mpi_comm_rows, \fBint\fP mpi_comm_cols, \fBint\fP wantDebug );"
.br
.RI " "
.br
.RI "With the definintions of the input and output variables:"
.br
.RI "int \fBna\fP: global dimension of quadratic matrix \fBa\fP to solve"
.br
.RI "double *\fBa\fP: pointer to locally distributed part of the matrix \fBa\fP. The local dimensions are \fBlda\fP x \fBmatrixCols\fP"
.br
.RI "int \fBlda\fP: leading dimension of locally distributed matrix \fBa\fP"
.br
.RI "int \fBnblk\fP: blocksize of block cyclic distributin, must be the same in both directions"
.br
.RI "int \fBmatrixCols\fP: number of columns of locally distributed matrices \fBa\fP and \fBq\fP"
.br
.RI "int \fBmpi_comm_rows\fP: communicator for communication in rows. Constructed with \fBget_elpa_communicators\fP(3)"
.br
.RI "int \fBmpi_comm_cols\fP: communicator for communication in colums. Constructed with \fBget_elpa_communicators\fP(3)"
.br
.RI "int \fBwantDebug\fP: if 1, print more debug information in case of an error"
.br
.RI "int \fBsuccess\fP: return value indicating success (1) or failure (0)
.SH DESCRIPTION
Does a Cholesky factorization of a real, symmetric matrix. The ELPA communicators \fBmpi_comm_rows\fP and \fBmpi_comm_cols\fP are obtained with the \fBget_elpa_communicators\fP(3) function. The distributed quadratic marix \fBa\fP has global dimensions \fBna\fP x \fBna\fP, and a local size \fBlda\fP x \fBmatrixCols\fP.
.br
.SH "SEE ALSO"
\fBget_elpa_communicators\fP(3)
man/elpa_solve_tridi.3 0 → 100644
View file @ 39e2a346
.TH "elpa_solve_tridi" 3 "Wed Jun 29 2016" "ELPA" \" -*- nroff -*-
.ad l
.nh
.SH NAME
elpa_solve_tridi \- Solve tridiagonal eigensystem with divide and conquer method
.br
.SH SYNOPSIS
.br
.SS FORTRAN INTERFACE
use elpa1
.br
.br
.RI "success = \fBelpa_solve_trid\fP (na, nev, d(na), e(na), q(ldq,matrixCols), ldq, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebug)"
.br
.RI " "
.br
.RI "With the definintions of the input and output variables:"
.br
.RI "integer, intent(in) \fBna\fP: global dimension of quadratic matrix \fBa\fP to solve"
.br
.RI "integer, intent(in) \fBnev\fP: number of eigenvalues/vectors to be computed"
.br
.RI "real*8, intent(inout) \fBd(na)\fP: array d(na) on input diagonal elements of tridiagonal matrix, on output the eigenvalues in ascending order"
.br
.RI "real*8, intent(in) \fBe(na)\fP: array e(na) on input subdiagonal elements of matrix, on exit destroyed"
.br
.RI "real*8, intent(inout) \fBq\fP: on exit \fBq\fP contains the eigenvectors. The local dimensions are \fBldq\fP x \fBmatrixCols\fP"
.br
.RI "integer, intent(in) \fBldq\fP: leading dimension of locally distributed matrix \fBq\fP"
.br
.RI "integer, intent(in) \fBnblk\fP: blocksize of cyclic distribution, must be the same in both directions"
.br
.RI "integer, intent(in) \fBmatrixCols\fP: number of columns of locally distributed matrices \fBa\fP and \fBq\fP"
.br
.RI "integer, intent(in) \fBmpi_comm_rows\fP: communicator for communication in rows. Constructed with \fBget_elpa_communicators\fP(3)"
.br
.RI "integer, intent(in) \fBmpi_comm_cols\fP: communicator for communication in colums. Constructed with \fBget_elpa_communicators\fP(3)"
.br
.RI "logical, intent(in) \fBwantDebug\fP: if .true. , print more debug information in case of an error"
.RI "logical \fBsuccess\fP: return value indicating success or failure"
.br
.SS C INTERFACE
#include "elpa.h"
.br
.RI "\fBint\fP success = \fBelpa_solve_tridi\fP (\fBint\fP na, \fBint\fP nev, \fB double *\fPd,\fB double *\fPe ,\fB double *\fPq, \fBint\fP ldq, \fBint\fP nblk, \fBint\fP matrixCols, \fBint\fP mpi_comm_rows, \fBint\fP mpi_comm_cols, \fBint\fP wantDebug );"
.br
.RI " "
.br
.RI "With the definintions of the input and output variables:"
.br
.RI "int \fBna\fP: global dimension of quadratic matrix \fBa\fP to solve"
.br
.RI "int \fBnev\fP: number of eigenvalues/eigenvectors to be computed"
.br
.RI "double *\fBd\fP: pointer to array d(na) on input diagonal elements of tridiagonal matrix, on output the eigenvalues in ascending order"
.br
.RI "double *\fBe\fP: pointer to array e(na) on input subdiagonal elements of matrix, on exit destroyed"
.br
.RI "double *\fBq\fP: on exit \fBq\fP contains the eigenvectors. The local dimensions are \fBldq\fP x \fBmatrixCols\fP"
.br
.RI "int \fBldq\fP: leading dimension of locally distributed matrix \fBq\fP"
.br
.RI "int \fBnblk\fP: blocksize of block cyclic distributin, must be the same in both directions"
.br
.RI "int \fBmatrixCols\fP: number of columns of locally distributed matrices \fBa\fP and \fBq\fP"
.br
.RI "int \fBmpi_comm_rows\fP: communicator for communication in rows. Constructed with \fBget_elpa_communicators\fP(3)"
.br
.RI "int \fBmpi_comm_cols\fP: communicator for communication in colums. Constructed with \fBget_elpa_communicators\fP(3)"
.br
.RI "int \fBwantDebug\fP: if 1, print more debug information in case of an error"
.br
.RI "int \fBsuccess\fP: return value indicating success (1) or failure (0)
.SH DESCRIPTION
Solves a tri-diagonal matrix and returns \fBnev\fP eigenvalues/eigenvectors. The ELPA communicators \fBmpi_comm_rows\fP and \fBmpi_comm_cols\fP are obtained with the \fBget_elpa_communicators\fP(3) function. The distributed quadratic marix \fBq\fP has global dimensions \fBna\fP x \fBna\fP, and a local size \fBldq\fP x \fBmatrixCols\fP.
.br
.SH "SEE ALSO"
\fBget_elpa_communicators\fP(3)
src/elpa1.F90
View file @ 39e2a346
......@@ -100,16 +100,26 @@ module ELPA1
! imported from elpa1_auxilliary
public :: mult_at_b_real !< Multiply real matrices A**T * B
public :: mult_ah_b_complex !< Multiply complex matrices A**H * B
public :: elpa_mult_at_b_real !< Multiply real matrices A**T * B
public :: mult_at_b_real !< old, deprecated interface to multiply real matrices A**T * B
public :: invert_trm_real !< Invert real triangular matrix
public :: invert_trm_complex !< Invert complex triangular matrix
public :: elpa_mult_ah_b_complex !< Multiply complex matrices A**H * B
public :: mult_ah_b_complex !< old, deprecated interface to multiply complex matrices A**H * B
public :: cholesky_real !< Cholesky factorization of a real matrix
public :: cholesky_complex !< Cholesky factorization of a complex matrix
public :: elpa_invert_trm_real !< Invert real triangular matrix
public :: invert_trm_real !< old, deprecated interface to invert real triangular matrix
public :: elpa_invert_trm_complex !< Invert complex triangular matrix
public :: invert_trm_complex !< old, deprecated interface to invert complex triangular matrix
public :: elpa_cholesky_real !< Cholesky factorization of a real matrix
public :: cholesky_real !< old, deprecated interface to do Cholesky factorization of a real matrix
public :: elpa_cholesky_complex !< Cholesky factorization of a complex matrix
public :: cholesky_complex !< old, deprecated interface to do Cholesky factorization of a complex matrix
public :: elpa_solve_tridi !< Solve tridiagonal eigensystem with divide and conquer method
public :: solve_tridi !< Solve tridiagonal eigensystem with divide and conquer method
! Timing results, set by every call to solve_evp_xxx
......
src/elpa1_auxiliary.F90
View file @ 39e2a346
This diff is collapsed.
src/elpa_c_interface.F90
View file @ 39e2a346
......@@ -309,3 +309,361 @@
end function
!c> /*
!c> \brief C interface to solve tridiagonal eigensystem with divide and conquer method
!c> \details
!c>
!c> \param na Matrix dimension
!c> \param nev number of eigenvalues/vectors to be computed
!c> \param d array d(na) on input diagonal elements of tridiagonal matrix, on
!c> output the eigenvalues in ascending order
!c> \param e array e(na) on input subdiagonal elements of matrix, on exit destroyed
!c> \param q on exit : matrix q(ldq,matrixCols) contains the eigenvectors
!c> \param ldq leading dimension of matrix q
!c> \param nblk blocksize of cyclic distribution, must be the same in both directions!
!c> \param matrixCols columns of matrix q
!c> \param mpi_comm_rows MPI communicator for rows
!c> \param mpi_comm_cols MPI communicator for columns
!c> \param wantDebug give more debug information if 1, else 0
!c> \result success int 1 on success, else 0
!c> */
!c> int elpa_solve_tridi(int na, int nev, double *d, double *e, double *q, int ldq, int nblk, int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int wantDebug);
function elpa_solve_tridi_wrapper(na, nev, d, e, q, ldq, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebug) &
result(success) bind(C,name="elpa_solve_tridi")
use, intrinsic :: iso_c_binding
use elpa1_auxiliary, only : elpa_solve_tridi
implicit none
integer(kind=c_int) :: success
integer(kind=c_int), value, intent(in) :: na, nev, ldq, nblk, matrixCols, mpi_comm_cols, mpi_comm_rows
integer(kind=c_int), value :: wantDebug
real(kind=c_double) :: d(1:na), e(1:na), q(1:ldq, 1:matrixCols)
logical :: successFortran, wantDebugFortran
if (wantDebug .ne. 0) then
wantDebugFortran = .true.
else
wantDebugFortran = .false.
endif
successFortran = elpa_solve_tridi(na, nev, d, e, q, ldq, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebugFortran)
if (successFortran) then
success = 1
else
success = 0
endif
end function
!c> /*
!c> \brief C interface for elpa_mult_at_b_real: Performs C : = A**T * B
!c> where A is a square matrix (na,na) which is optionally upper or lower triangular
!c> B is a (na,ncb) matrix
!c> C is a (na,ncb) matrix where optionally only the upper or lower
!c> triangle may be computed
!c> \details
!c> \param uplo_a 'U' if A is upper triangular
!c> 'L' if A is lower triangular
!c> anything else if A is a full matrix
!c> Please note: This pertains to the original A (as set in the calling program)
!c> whereas the transpose of A is used for calculations
!c> If uplo_a is 'U' or 'L', the other triangle is not used at all,
!c> i.e. it may contain arbitrary numbers
!c> \param uplo_c 'U' if only the upper diagonal part of C is needed
!c> 'L' if only the upper diagonal part of C is needed
!c> anything else if the full matrix C is needed
!c> Please note: Even when uplo_c is 'U' or 'L', the other triangle may be
!c> written to a certain extent, i.e. one shouldn't rely on the content there!
!c> \param na Number of rows/columns of A, number of rows of B and C
!c> \param ncb Number of columns of B and C
!c> \param a matrix a
!c> \param lda leading dimension of matrix a
!c> \param b matrix b
!c> \param ldb leading dimension of matrix b
!c> \param nblk blocksize of cyclic distribution, must be the same in both directions!
!c> \param mpi_comm_rows MPI communicator for rows
!c> \param mpi_comm_cols MPI communicator for columns
!c> \param c matrix c
!c> \param ldc leading dimension of matrix c
!c> \result success int report success (1) or failure (0)
!c> */
!c> int elpa_mult_at_b_real(char uplo_a, char uplo_c, int na, int ncb, double *a, int lda, double *b, int ldb, int nlbk, int mpi_comm_rows, int mpi_comm_cols, double *c, int ldc);
function elpa_mult_at_b_real_wrapper(uplo_a, uplo_c, na, ncb, a, lda, b, ldb, nblk, mpi_comm_rows, mpi_comm_cols, c, ldc) &
bind(C,name="elpa_mult_at_b_real") result(success)
use, intrinsic :: iso_c_binding
use elpa1_auxiliary, only : elpa_mult_at_b_real
implicit none
character(1,C_CHAR), value :: uplo_a, uplo_c
integer(kind=c_int), value :: na, ncb, lda, ldb, nblk, mpi_comm_rows, mpi_comm_cols, ldc
integer(kind=c_int) :: success
real(kind=c_double) :: a(lda,*), b(ldb,*), c(ldc,*)
logical :: successFortran
successFortran = elpa_mult_at_b_real(uplo_a, uplo_c, na, ncb, a, lda, b, ldb, nblk, mpi_comm_rows, mpi_comm_cols, c, ldc)
if (successFortran) then
success = 1
else
success = 0
endif
end function
!c> /*
!c> \brief C interface for elpa_mult_ah_b_complex: Performs C : = A**H * B
!c> where A is a square matrix (na,na) which is optionally upper or lower triangular
!c> B is a (na,ncb) matrix
!c> C is a (na,ncb) matrix where optionally only the upper or lower
!c> triangle may be computed
!c> \details
!c>
!c> \param uplo_a 'U' if A is upper triangular
!c> 'L' if A is lower triangular
!c> anything else if A is a full matrix
!c> Please note: This pertains to the original A (as set in the calling program)
!c> whereas the transpose of A is used for calculations
!c> If uplo_a is 'U' or 'L', the other triangle is not used at all,
!c> i.e. it may contain arbitrary numbers
!c> \param uplo_c 'U' if only the upper diagonal part of C is needed
!c> 'L' if only the upper diagonal part of C is needed
!c> anything else if the full matrix C is needed
!c> Please note: Even when uplo_c is 'U' or 'L', the other triangle may be
!c> written to a certain extent, i.e. one shouldn't rely on the content there!
!c> \param na Number of rows/columns of A, number of rows of B and C
!c> \param ncb Number of columns of B and C
!c> \param a matrix a
!c> \param lda leading dimension of matrix a
!c> \param b matrix b
!c> \param ldb leading dimension of matrix b
!c> \param nblk blocksize of cyclic distribution, must be the same in both directions!
!c> \param mpi_comm_rows MPI communicator for rows
!c> \param mpi_comm_cols MPI communicator for columns
!c> \param c matrix c
!c> \param ldc leading dimension of matrix c
!c> \result success int reports success (1) or failure (0)
!c> */
!c> int elpa_mult_ah_b_complex(char uplo_a, char uplo_c, int na, int ncb, double complex *a, int lda, double complex *b, int ldb, int nblk, int mpi_comm_rows, int mpi_comm_cols, double complex *c, int ldc);
function elpa_mult_ah_b_complex_wrapper( uplo_a, uplo_c, na, ncb, a, lda, b, ldb, nblk, mpi_comm_rows, mpi_comm_cols, c, ldc) &
result(success) bind(C,name="elpa_mult_ah_b_complex")
use, intrinsic :: iso_c_binding
use elpa1_auxiliary, only : elpa_mult_ah_b_complex
implicit none
character(1,C_CHAR), value :: uplo_a, uplo_c
integer(kind=c_int), value :: na, ncb, lda, ldb, nblk, mpi_comm_rows, mpi_comm_cols, ldc
integer(kind=c_int) :: success
complex(kind=c_double_complex) :: a(lda,*), b(ldb,*), c(ldc,*)
logical :: successFortran
successFortran = elpa_mult_ah_b_complex(uplo_a, uplo_c, na, ncb, a, lda, b, ldb, nblk, mpi_comm_rows, mpi_comm_cols, c, ldc)
if (successFortran) then
success = 1
else
success = 0
endif
end function
!c> /*
!c> \brief C interface to elpa_invert_trm_real: Inverts a upper triangular matrix
!c> \details
!c> \param na Order of matrix
!c> \param a(lda,matrixCols) Distributed matrix which should be inverted
!c> Distribution is like in Scalapack.
!c> Only upper triangle is needs to be set.
!c> The lower triangle is not referenced.
!c> \param lda Leading dimension of a
!c> \param matrixCols local columns of matrix a
!c> \param nblk blocksize of cyclic distribution, must be the same in both directions!
!c> \param mpi_comm_rows MPI communicator for rows
!c> \param mpi_comm_cols MPI communicator for columns
!c> \param wantDebug int more debug information on failure if 1, else 0
!c> \result succes int reports success (1) or failure (0)
!c> */
!c> int elpa_invert_trm_real(int na, double *a, int lda, int nblk, int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int wantDebug);
function elpa_invert_trm_real_wrapper(na, a, lda, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebug) &
result(success) bind(C,name="elpa_invert_trm_real")
use, intrinsic :: iso_c_binding
use elpa1_auxiliary, only : elpa_invert_trm_real
implicit none
integer(kind=c_int), value :: na, lda, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols
integer(kind=c_int), value :: wantDebug
integer(kind=c_int) :: success
real(kind=c_double) :: a(lda,matrixCols)
logical :: wantDebugFortran, successFortran
if (wantDebug .ne. 0) then
wantDebugFortran = .true.
else
wantDebugFortran = .false.
endif
successFortran = elpa_invert_trm_real(na, a, lda, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebugFortran)
if (successFortran) then
success = 1
else
success = 0
endif
end function
!c> /*
!c> \brief C interface to elpa_invert_trm_complex: Inverts a complex upper triangular matrix
!c> \details
!c> \param na Order of matrix
!c> \param a(lda,matrixCols) Distributed matrix which should be inverted
!c> Distribution is like in Scalapack.
!c> Only upper triangle is needs to be set.
!c> The lower triangle is not referenced.
!c> \param lda Leading dimension of a
!c> \param matrixCols local columns of matrix a
!c> \param nblk blocksize of cyclic distribution, must be the same in both directions!
!c> \param mpi_comm_rows MPI communicator for rows
!c> \param mpi_comm_cols MPI communicator for columns
!c> \param wantDebug int more debug information on failure if 1, else 0
!c> \result succes int reports success (1) or failure (0)
!c> */
!c> int elpa_invert_trm_complex(int na, double complex *a, int lda, int nblk, int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int wantDebug);
function elpa_invert_trm_complex_wrapper(na, a, lda, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebug) result(success) &
bind(C,name="elpa_invert_trm_complex")
use, intrinsic :: iso_c_binding
use elpa1_auxiliary, only : elpa_invert_trm_complex
implicit none
integer(kind=c_int), value :: na, lda, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols
integer(kind=c_int), value :: wantDebug
integer(kind=c_int) :: success
complex(kind=c_double_complex) :: a(lda, matrixCols)
logical :: successFortran, wantDebugFortran
if (wantDebug .ne. 0) then
wantDebugFortran = .true.
else
wantDebugFortran = .false.
endif
successFortran = elpa_invert_trm_complex(na, a, lda, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebugFortran)
if (successFortran) then
success = 1
else
success = 0
endif
end function
!c> /*
!c> \brief elpa_cholesky_real: Cholesky factorization of a real symmetric matrix
!c> \details
!c>
!c> \param na Order of matrix
!c> \param a(lda,matrixCols) Distributed matrix which should be factorized.
!c> Distribution is like in Scalapack.
!c> Only upper triangle is needs to be set.
!c> On return, the upper triangle contains the Cholesky factor
!c> and the lower triangle is set to 0.
!c> \param lda Leading dimension of a
!c> \param matrixCols local columns of matrix a
!c> \param nblk blocksize of cyclic distribution, must be the same in both directions!
!c> \param mpi_comm_rows MPI communicator for rows
!c> \param mpi_comm_cols MPI communicator for columns
!c> \param wantDebug int more debug information on failure if 1, else 0
!c> \result succes int reports success (1) or failure (0)
!c> */
!c> int elpa_cholesky_real(int na, double *a, int lda, int nblk, int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int wantDebug);
function elpa_cholesky_real_wrapper(na, a, lda, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebug) result(success) &
bind(C,name="elpa_cholesky_real")
use, intrinsic :: iso_c_binding
use elpa1_auxiliary, only : elpa_cholesky_real
implicit none
integer(kind=c_int), value :: na, lda, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebug
integer(kind=c_int) :: success
real(kind=c_double) :: a(lda,matrixCols)
logical :: successFortran, wantDebugFortran
if (wantDebug .ne. 0) then
wantDebugFortran = .true.
else
wantDebugFortran = .false.
endif
successFortran = elpa_cholesky_real(na, a, lda, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebugFortran)
if (successFortran) then
success = 1
else
success = 0
endif
end function
!c> /*
!c> \brief C interface elpa_cholesky_complex: Cholesky factorization of a complex hermitian matrix
!c> \details
!c> \param na Order of matrix
!c> \param a(lda,matrixCols) Distributed matrix which should be factorized.
!c> Distribution is like in Scalapack.
!c> Only upper triangle is needs to be set.
!c> On return, the upper triangle contains the Cholesky factor
!c> and the lower triangle is set to 0.
!c> \param lda Leading dimension of a
!c> \param matrixCols local columns of matrix a
!c> \param nblk blocksize of cyclic distribution, must be the same in both directions!
!c> \param mpi_comm_rows MPI communicator for rows
!c> \param mpi_comm_cols MPI communicator for columns
!c> \param wantDebug int more debug information on failure, if 1, else 0
!c> \result succes int reports success (1) or failure (0)
!c> */
!c> int elpa_cholesky_complex(int na, double complex *a, int lda, int nblk, int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int wantDebug);
function elpa_cholesky_complex_wrapper(na, a, lda, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebug) result(success)
use, intrinsic :: iso_c_binding
use elpa1_auxiliary, only : elpa_cholesky_complex
implicit none
integer(kind=c_int), value :: na, lda, nblk, matrixCols, mpi_comm_rows, mpi_comm_cols, wantDebug
integer(kind=c_int) :: success
complex(kind=c_double_complex) :: a(lda,matrixCols)