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Commit c88242d4 authored by Andreas Marek's avatar Andreas Marek
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Rename header file of legacy C interface

parent c27fe3a6
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Showing with 716 additions and 729 deletions
Makefile.am
View file @ c88242d4
......@@ -1177,6 +1177,7 @@ distclean-local:
EXTRA_DIST = \
elpa/elpa.h \
elpa/elpa_legacy.h \
fdep/fortran_dependencies.pl \
fdep/fortran_dependencies.mk \
test/Fortran/elpa_print_headers.X90 \
......
generated_headers.am
View file @ c88242d4
......@@ -19,6 +19,12 @@ elpa/elpa_generated.h: $(top_srcdir)/src/elpa_driver/legacy_interface/elpa_drive
@rm -f $@
$(call extract_interface,!c>)
elpa/elpa_generated_legacy.h: $(top_srcdir)/src/elpa_driver/legacy_interface/elpa_driver_c_interface.F90 \
$(top_srcdir)/src/elpa1/legacy_interface/elpa_1stage_c_interface.F90 \
$(top_srcdir)/src/elpa2/legacy_interface/elpa_2stage_c_interface.F90 | elpa
@rm -f $@
$(call extract_interface,!lc>)
test/shared/generated.h: $(wildcard $(top_srcdir)/test/shared/*.*90) | test/shared
@rm -f $@
$(call extract_interface,!c>)
......@@ -34,7 +40,7 @@ src/fortran_constants.X90: $(top_srcdir)/src/fortran_constants.h
@rm $@_
generated_headers= config-f90.h elpa/elpa_generated.h test/shared/generated.h elpa/elpa_generated_fortran_interfaces.h src/fortran_constants.X90
generated_headers= config-f90.h elpa/elpa_generated.h elpa/elpa_generated_legacy.h test/shared/generated.h elpa/elpa_generated_fortran_interfaces.h src/fortran_constants.X90
generated-headers: $(generated_headers)
......
src/elpa2/legacy_interface/elpa_2stage_c_interface.F90
View file @ c88242d4
......@@ -42,42 +42,37 @@
! Author: Andreas Marek, MCPDF
#include "config-f90.h"
!c> /*! \brief C interface to solve the double-precision real eigenvalue problem with 2-stage solver
!c> *
!c> * \param na Order of matrix a
!c> * \param nev Number of eigenvalues needed.
!c> * The smallest nev eigenvalues/eigenvectors are calculated.
!c> * \param a Distributed matrix for which eigenvalues are to be computed.
!c> * Distribution is like in Scalapack.
!c> * The full matrix must be set (not only one half like in scalapack).
!c> * \param lda Leading dimension of a
!c> * \param ev(na) On output: eigenvalues of a, every processor gets the complete set
!c> * \param q On output: Eigenvectors of a
!c> * Distribution is like in Scalapack.
!c> * Must be always dimensioned to the full size (corresponding to (na,na))
!c> * even if only a part of the eigenvalues is needed.
!c> * \param ldq Leading dimension of q
!c> * \param nblk blocksize of cyclic distribution, must be the same in both directions!
!c> * \param matrixCols distributed number of matrix columns
!c> * \param mpi_comm_rows MPI-Communicator for rows
!c> * \param mpi_comm_cols MPI-Communicator for columns
!c> * \param mpi_coll_all MPI communicator for the total processor set
!c> * \param THIS_REAL_ELPA_KERNEL_API specify used ELPA2 kernel via API
!c> * \param useQR use QR decomposition 1 = yes, 0 = no
!c> * \param useGPU use GPU (1=yes, 0=No)
!c> *
!c> * \result int: 1 if error occured, otherwise 0
!c> */
!lc> /*! \brief C interface to solve the double-precision real eigenvalue problem with 2-stage solver
!lc> *
!lc> * \param na Order of matrix a
!lc> * \param nev Number of eigenvalues needed.
!lc> * The smallest nev eigenvalues/eigenvectors are calculated.
!lc> * \param a Distributed matrix for which eigenvalues are to be computed.
!lc> * Distribution is like in Scalapack.
!lc> * The full matrix must be set (not only one half like in scalapack).
!lc> * \param lda Leading dimension of a
!lc> * \param ev(na) On output: eigenvalues of a, every processor gets the complete set
!lc> * \param q On output: Eigenvectors of a
!lc> * Distribution is like in Scalapack.
!lc> * Must be always dimensioned to the full size (corresponding to (na,na))
!lc> * even if only a part of the eigenvalues is needed.
!lc> * \param ldq Leading dimension of q
!lc> * \param nblk blocksize of cyclic distribution, must be the same in both directions!
!lc> * \param matrixCols distributed number of matrix columns
!lc> * \param mpi_comm_rows MPI-Communicator for rows
!lc> * \param mpi_comm_cols MPI-Communicator for columns
!lc> * \param mpi_coll_all MPI communicator for the total processor set
!lc> * \param THIS_REAL_ELPA_KERNEL_API specify used ELPA2 kernel via API
!lc> * \param useQR use QR decomposition 1 = yes, 0 = no
!lc> * \param useGPU use GPU (1=yes, 0=No)
!lc> *
!lc> * \result int: 1 if error occured, otherwise 0
!lc> */
#define REALCASE 1
#define DOUBLE_PRECISION 1
#if DOUBLE_PRECISION == 1
!c> int elpa_solve_evp_real_2stage_double_precision(int na, int nev, double *a, int lda, double *ev, double *q, int ldq, int nblk,
!c> int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int mpi_comm_all, int THIS_REAL_ELPA_KERNEL_API, int useQR, int useGPU);
#else
!c> int elpa_solve_evp_real_2stage_single_precision(int na, int nev, float *a, int lda, float *ev, float *q, int ldq, int nblk,
!c> int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int mpi_comm_all, int THIS_REAL_ELPA_KERNEL_API, int useQR, int useGPU);
#endif
!lc> int elpa_solve_evp_real_2stage_double_precision(int na, int nev, double *a, int lda, double *ev, double *q, int ldq, int nblk,
!lc> int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int mpi_comm_all, int THIS_REAL_ELPA_KERNEL_API, int useQR, int useGPU);
#include "../../general/precision_macros.h"
#include "./elpa2_c_interface_template.X90"
......@@ -86,43 +81,38 @@
#ifdef WANT_SINGLE_PRECISION_REAL
!c> /*! \brief C interface to solve the single-precision real eigenvalue problem with 2-stage solver
!c> *
!c> * \param na Order of matrix a
!c> * \param nev Number of eigenvalues needed.
!c> * The smallest nev eigenvalues/eigenvectors are calculated.
!c> * \param a Distributed matrix for which eigenvalues are to be computed.
!c> * Distribution is like in Scalapack.
!c> * The full matrix must be set (not only one half like in scalapack).
!c> * \param lda Leading dimension of a
!c> * \param ev(na) On output: eigenvalues of a, every processor gets the complete set
!c> * \param q On output: Eigenvectors of a
!c> * Distribution is like in Scalapack.
!c> * Must be always dimensioned to the full size (corresponding to (na,na))
!c> * even if only a part of the eigenvalues is needed.
!c> * \param ldq Leading dimension of q
!c> * \param nblk blocksize of cyclic distribution, must be the same in both directions!
!c> * \param matrixCols distributed number of matrix columns
!c> * \param mpi_comm_rows MPI-Communicator for rows
!c> * \param mpi_comm_cols MPI-Communicator for columns
!c> * \param mpi_coll_all MPI communicator for the total processor set
!c> * \param THIS_REAL_ELPA_KERNEL_API specify used ELPA2 kernel via API
!c> * \param useQR use QR decomposition 1 = yes, 0 = no
!c> * \param useGPU use GPU (1=yes, 0=No)
!c> *
!c> * \result int: 1 if error occured, otherwise 0
!c> */
!lc> /*! \brief C interface to solve the single-precision real eigenvalue problem with 2-stage solver
!lc> *
!lc> * \param na Order of matrix a
!lc> * \param nev Number of eigenvalues needed.
!lc> * The smallest nev eigenvalues/eigenvectors are calculated.
!lc> * \param a Distributed matrix for which eigenvalues are to be computed.
!lc> * Distribution is like in Scalapack.
!lc> * The full matrix must be set (not only one half like in scalapack).
!lc> * \param lda Leading dimension of a
!lc> * \param ev(na) On output: eigenvalues of a, every processor gets the complete set
!lc> * \param q On output: Eigenvectors of a
!lc> * Distribution is like in Scalapack.
!lc> * Must be always dimensioned to the full size (corresponding to (na,na))
!lc> * even if only a part of the eigenvalues is needed.
!lc> * \param ldq Leading dimension of q
!lc> * \param nblk blocksize of cyclic distribution, must be the same in both directions!
!lc> * \param matrixCols distributed number of matrix columns
!lc> * \param mpi_comm_rows MPI-Communicator for rows
!lc> * \param mpi_comm_cols MPI-Communicator for columns
!lc> * \param mpi_coll_all MPI communicator for the total processor set
!lc> * \param THIS_REAL_ELPA_KERNEL_API specify used ELPA2 kernel via API
!lc> * \param useQR use QR decomposition 1 = yes, 0 = no
!lc> * \param useGPU use GPU (1=yes, 0=No)
!lc> *
!lc> * \result int: 1 if error occured, otherwise 0
!lc> */
#define REALCASE 1
#define SINGLE_PRECISION 1
#undef DOUBLE_PRECISION
#if DOUBLE_PRECISION == 1
!c> int elpa_solve_evp_real_2stage_double_precision(int na, int nev, double *a, int lda, double *ev, double *q, int ldq, int nblk,
!c> int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int mpi_comm_all, int THIS_REAL_ELPA_KERNEL_API, int useQR, int useGPU);
#else
!c> int elpa_solve_evp_real_2stage_single_precision(int na, int nev, float *a, int lda, float *ev, float *q, int ldq, int nblk,
!c> int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int mpi_comm_all, int THIS_REAL_ELPA_KERNEL_API, int useQR, int useGPU);
#endif
!lc> int elpa_solve_evp_real_2stage_single_precision(int na, int nev, float *a, int lda, float *ev, float *q, int ldq, int nblk,
!lc> int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int mpi_comm_all, int THIS_REAL_ELPA_KERNEL_API, int useQR, int useGPU);
#include "../../general/precision_macros.h"
#include "./elpa2_c_interface_template.X90"
......@@ -132,43 +122,38 @@
#endif /* WANT_SINGLE_PRECISION_REAL */
!c> #include <complex.h>
!c> /*! \brief C interface to solve the double-precision complex eigenvalue problem with 2-stage solver
!c> *
!c> * \param na Order of matrix a
!c> * \param nev Number of eigenvalues needed.
!c> * The smallest nev eigenvalues/eigenvectors are calculated.
!c> * \param a Distributed matrix for which eigenvalues are to be computed.
!c> * Distribution is like in Scalapack.
!c> * The full matrix must be set (not only one half like in scalapack).
!c> * \param lda Leading dimension of a
!c> * \param ev(na) On output: eigenvalues of a, every processor gets the complete set
!c> * \param q On output: Eigenvectors of a
!c> * Distribution is like in Scalapack.
!c> * Must be always dimensioned to the full size (corresponding to (na,na))
!c> * even if only a part of the eigenvalues is needed.
!c> * \param ldq Leading dimension of q
!c> * \param nblk blocksize of cyclic distribution, must be the same in both directions!
!c> * \param matrixCols distributed number of matrix columns
!c> * \param mpi_comm_rows MPI-Communicator for rows
!c> * \param mpi_comm_cols MPI-Communicator for columns
!c> * \param mpi_coll_all MPI communicator for the total processor set
!c> * \param THIS_COMPLEX_ELPA_KERNEL_API specify used ELPA2 kernel via API
!c> * \param useGPU use GPU (1=yes, 0=No)
!c> *
!c> * \result int: 1 if error occured, otherwise 0
!c> */
!lc> #include <complex.h>
!lc> /*! \brief C interface to solve the double-precision complex eigenvalue problem with 2-stage solver
!lc> *
!lc> * \param na Order of matrix a
!lc> * \param nev Number of eigenvalues needed.
!lc> * The smallest nev eigenvalues/eigenvectors are calculated.
!lc> * \param a Distributed matrix for which eigenvalues are to be computed.
!lc> * Distribution is like in Scalapack.
!lc> * The full matrix must be set (not only one half like in scalapack).
!lc> * \param lda Leading dimension of a
!lc> * \param ev(na) On output: eigenvalues of a, every processor gets the complete set
!lc> * \param q On output: Eigenvectors of a
!lc> * Distribution is like in Scalapack.
!lc> * Must be always dimensioned to the full size (corresponding to (na,na))
!lc> * even if only a part of the eigenvalues is needed.
!lc> * \param ldq Leading dimension of q
!lc> * \param nblk blocksize of cyclic distribution, must be the same in both directions!
!lc> * \param matrixCols distributed number of matrix columns
!lc> * \param mpi_comm_rows MPI-Communicator for rows
!lc> * \param mpi_comm_cols MPI-Communicator for columns
!lc> * \param mpi_coll_all MPI communicator for the total processor set
!lc> * \param THIS_COMPLEX_ELPA_KERNEL_API specify used ELPA2 kernel via API
!lc> * \param useGPU use GPU (1=yes, 0=No)
!lc> *
!lc> * \result int: 1 if error occured, otherwise 0
!lc> */
#define COMPLEXCASE 1
#define DOUBLE_PRECISION 1
#if DOUBLE_PRECISION == 1
!c> int elpa_solve_evp_complex_2stage_double_precision(int na, int nev, double complex *a, int lda, double *ev, double complex *q, int ldq,
!c> int nblk, int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int mpi_comm_all, int THIS_COMPLEX_ELPA_KERNEL_API, int useGPU);
#else
!c> int elpa_solve_evp_complex_2stage_single_precision(int na, int nev, complex *a, int lda, float *ev, complex *q, int ldq, int nblk,
!c> int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int mpi_comm_all, int THIS_COMPLEX_ELPA_KERNEL_API, int useGPU);
#endif
!lc> int elpa_solve_evp_complex_2stage_double_precision(int na, int nev, double complex *a, int lda, double *ev, double complex *q, int ldq,
!lc> int nblk, int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int mpi_comm_all, int THIS_COMPLEX_ELPA_KERNEL_API, int useGPU);
#include "../../general/precision_macros.h"
#include "./elpa2_c_interface_template.X90"
......@@ -177,43 +162,38 @@
#ifdef WANT_SINGLE_PRECISION_COMPLEX
!c> #include <complex.h>
!c> /*! \brief C interface to solve the single-precision complex eigenvalue problem with 2-stage solver
!c> *
!c> * \param na Order of matrix a
!c> * \param nev Number of eigenvalues needed.
!c> * The smallest nev eigenvalues/eigenvectors are calculated.
!c> * \param a Distributed matrix for which eigenvalues are to be computed.
!c> * Distribution is like in Scalapack.
!c> * The full matrix must be set (not only one half like in scalapack).
!c> * \param lda Leading dimension of a
!c> * \param ev(na) On output: eigenvalues of a, every processor gets the complete set
!c> * \param q On output: Eigenvectors of a
!c> * Distribution is like in Scalapack.
!c> * Must be always dimensioned to the full size (corresponding to (na,na))
!c> * even if only a part of the eigenvalues is needed.
!c> * \param ldq Leading dimension of q
!c> * \param nblk blocksize of cyclic distribution, must be the same in both directions!
!c> * \param matrixCols distributed number of matrix columns
!c> * \param mpi_comm_rows MPI-Communicator for rows
!c> * \param mpi_comm_cols MPI-Communicator for columns
!c> * \param mpi_coll_all MPI communicator for the total processor set
!c> * \param THIS_REAL_ELPA_KERNEL_API specify used ELPA2 kernel via API
!c> * \param useGPU use GPU (1=yes, 0=No)
!c> *
!c> * \result int: 1 if error occured, otherwise 0
!c> */
!lc> #include <complex.h>
!lc> /*! \brief C interface to solve the single-precision complex eigenvalue problem with 2-stage solver
!lc> *
!lc> * \param na Order of matrix a
!lc> * \param nev Number of eigenvalues needed.
!lc> * The smallest nev eigenvalues/eigenvectors are calculated.
!lc> * \param a Distributed matrix for which eigenvalues are to be computed.
!lc> * Distribution is like in Scalapack.
!lc> * The full matrix must be set (not only one half like in scalapack).
!lc> * \param lda Leading dimension of a
!lc> * \param ev(na) On output: eigenvalues of a, every processor gets the complete set
!lc> * \param q On output: Eigenvectors of a
!lc> * Distribution is like in Scalapack.
!lc> * Must be always dimensioned to the full size (corresponding to (na,na))
!lc> * even if only a part of the eigenvalues is needed.
!lc> * \param ldq Leading dimension of q
!lc> * \param nblk blocksize of cyclic distribution, must be the same in both directions!
!lc> * \param matrixCols distributed number of matrix columns
!lc> * \param mpi_comm_rows MPI-Communicator for rows
!lc> * \param mpi_comm_cols MPI-Communicator for columns
!lc> * \param mpi_coll_all MPI communicator for the total processor set
!lc> * \param THIS_REAL_ELPA_KERNEL_API specify used ELPA2 kernel via API
!lc> * \param useGPU use GPU (1=yes, 0=No)
!lc> *
!lc> * \result int: 1 if error occured, otherwise 0
!lc> */
#define COMPLEXCASE 1
#undef DOUBLE_PRECISION
#define SINGLE_PRECISION 1
#if DOUBLE_PRECISION == 1
!c> int elpa_solve_evp_complex_2stage_double_precision(int na, int nev, double complex *a, int lda, double *ev, double complex *q, int ldq,
!c> int nblk, int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int mpi_comm_all, int THIS_COMPLEX_ELPA_KERNEL_API, int useGPU);
#else
!c> int elpa_solve_evp_complex_2stage_single_precision(int na, int nev, complex *a, int lda, float *ev, complex *q, int ldq, int nblk,
!c> int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int mpi_comm_all, int THIS_COMPLEX_ELPA_KERNEL_API, int useGPU);
#endif
!lc> int elpa_solve_evp_complex_2stage_single_precision(int na, int nev, complex *a, int lda, float *ev, complex *q, int ldq, int nblk,
!lc> int matrixCols, int mpi_comm_rows, int mpi_comm_cols, int mpi_comm_all, int THIS_COMPLEX_ELPA_KERNEL_API, int useGPU);
#include "../../general/precision_macros.h"
#include "./elpa2_c_interface_template.X90"
......
test/C/elpa1_test_complex_c_version.c
View file @ c88242d4
......@@ -50,7 +50,7 @@
#endif
#include <math.h>
#include <elpa/elpa.h>
#include <elpa/elpa_legacy.h>
#include <test/shared/generated.h>
#include <complex.h>
......
test/C/elpa1_test_real_c_version.c
View file @ c88242d4
......@@ -50,7 +50,7 @@
#endif
#include <math.h>
#include <elpa/elpa.h>
#include <elpa/elpa_legacy.h>
#include "test/shared/generated.h"
......
test/C/elpa2_test_complex_c_version.c
View file @ c88242d4
......@@ -50,7 +50,7 @@
#endif
#include <math.h>
#include <elpa/elpa.h>
#include <elpa/elpa_legacy.h>
#include <test/shared/generated.h>
#include <complex.h>
......
test/C/elpa2_test_real_c_version.c
View file @ c88242d4
......@@ -50,7 +50,7 @@
#endif
#include <math.h>
#include <elpa/elpa.h>
#include <elpa/elpa_legacy.h>
#include <test/shared/generated.h>
#define DOUBLE_PRECISION_REAL 1
......
test/C/elpa_driver_complex_c_version.c
View file @ c88242d4
......@@ -50,7 +50,7 @@
#endif
#include <math.h>
#include <elpa/elpa.h>
#include <elpa/elpa_legacy.h>
#include <test/shared/generated.h>
#include <complex.h>
......
test/C/elpa_driver_complex_c_version_single.c
View file @ c88242d4
......@@ -50,7 +50,7 @@
#endif
#include <math.h>
#include <elpa/elpa.h>
#include <elpa/elpa_legacy.h>
#include <test/shared/generated.h>
#include <complex.h>
......
test/C/elpa_driver_real_c_version.c
View file @ c88242d4
......@@ -50,7 +50,7 @@
#endif
#include <math.h>
#include <elpa/elpa.h>
#include <elpa/elpa_legacy.h>
#include <test/shared/generated.h>
int main(int argc, char** argv) {
......
test/C/elpa_driver_real_c_version_single.c
View file @ c88242d4
......@@ -50,7 +50,7 @@
#endif
#include <math.h>
#include <elpa/elpa.h>
#include <elpa/elpa_legacy.h>
#include <test/shared/generated.h>
int main(int argc, char** argv) {
......
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