I'm trying to find the eigenvalues and eigenvectors of a Hermitian matrix using SCALAPACK and MPI in Fortran. For bug-squashing, I made this program as simple as possible, but am still getting a segmentation fault. Per the answers given to people with similar questions, I've tried changing all of my integers to integer*8, and all of my reals to real*8 or real*16, but I still get this issue. Most interestingly, I don't even get a backtrace for the segmentation fault: the program hangs up when trying to give me a backtrace and has to be aborted manually.
Also, please forgive my lack of knowledge -- I'm not familiar with most program-y things but I've done my best. Here is my code:
PROGRAM easydiag
IMPLICIT NONE
INCLUDE 'mpif.h'
EXTERNAL BLACS_EXIT, BLACS_GET, BLACS_GRIDEXIT, BLACS_GRIDINFO
EXTERNAL BLACS_GRIDINIT, BLACS_PINFO,BLACS_SETUP, DESCINIT
INTEGER,EXTERNAL::NUMROC,ICEIL
REAL*8,EXTERNAL::PDLAMCH
INTEGER,PARAMETER::XNDIM=4 ! MATRIX WILL BE XNDIM BY XNDIM
INTEGER,PARAMETER::EXPND=XNDIM
INTEGER,PARAMETER::NPROCS=1
INTEGER COMM,MYID,ROOT,NUMPROCS,IERR,STATUS(MPI_STATUS_SIZE)
INTEGER NUM_DIM
INTEGER NPROW,NPCOL
INTEGER CONTEXT, MYROW, MYCOL
COMPLEX*16,ALLOCATABLE::HH(:,:),ZZ(:,:),MATTODIAG(:,:)
REAL*8:: EIG(2*XNDIM) ! EIGENVALUES
CALL MPI_INIT(ierr)
CALL MPI_COMM_RANK(MPI_COMM_WORLD,myid,ierr)
CALL MPI_COMM_SIZE(MPI_COMM_WORLD,numprocs,ierr)
ROOT=0
NPROW=INT(SQRT(REAL(NPROCS)))
NPCOL=NPROCS/NPROW
NUM_DIM=2*EXPND/NPROW
CALL SL_init(CONTEXT,NPROW,NPCOL)
CALL BLACS_GRIDINFO( CONTEXT, NPROW, NPCOL, MYROW, MYCOL )
ALLOCATE(MATTODIAG(XNDIM,XNDIM),HH(NUM_DIM,NUM_DIM),ZZ(NUM_DIM,NUM_DIM))
MATTODIAG=0.D0
CALL MAKEHERMMAT(XNDIM,MATTODIAG)
CALL MPIDIAGH(EXPND,MATTODIAG,ZZ,MYROW,MYCOL,NPROW,NPCOL,NUM_DIM,CONTEXT,EIG)
DEALLOCATE(MATTODIAG,HH,ZZ)
CALL MPI_FINALIZE(IERR)
END
!****************************************************
SUBROUTINE MAKEHERMMAT(XNDIM,MATTODIAG)
IMPLICIT NONE
INTEGER:: XNDIM, I, J, COUNTER
COMPLEX*16:: MATTODIAG(XNDIM,XNDIM)
REAL*8:: RAND
COUNTER = 1
DO J=1,XNDIM
DO I=J,XNDIM
MATTODIAG(I,J)=COUNTER
COUNTER=COUNTER+1
END DO
END DO
END
!****************************************************
SUBROUTINE MPIDIAGH(EXPND,A,Z,MYROW,MYCOL,NPROW,NPCOL,NUM_DIM,CONTEXT,W)
IMPLICIT NONE
EXTERNAL DESCINIT
REAL*8,EXTERNAL::PDLAMCH
INTEGER EXPND,NUM_DIM
INTEGER CONTEXT
INTEGER MYCOL,MYROW,NPROW,NPCOL
COMPLEX*16 A(NUM_DIM,NUM_DIM), Z(NUM_DIM,NUM_DIM)
REAL*8 W(2*EXPND)
INTEGER N
CHARACTER JOBZ, RANGE, UPLO
INTEGER IL,IU,IA,JA,IZ,JZ
INTEGER LIWORK,LRWORK,LWORK
INTEGER M, NZ, INFO
REAL*8 ABSTOL, ORFAC, VL, VU
INTEGER DESCA(50), DESCZ(50)
INTEGER IFAIL(2*EXPND), ICLUSTR(2*NPROW*NPCOL)
REAL*8 GAP(NPROW*NPCOL)
INTEGER,ALLOCATABLE:: IWORK(:)
REAL*8,ALLOCATABLE :: RWORK(:)
COMPLEX*16,ALLOCATABLE::WORK(:)
N=2*EXPND
JOBZ='V'
RANGE='I'
UPLO='U' ! This should be U rather than L
VL=0.d0
VU=0.d0
IL=1 ! EXPND/2+1
IU=2*EXPND ! EXPND+(EXPND/2) ! HERE IS FOR THE CUTTING OFF OF THE STATE
M=IU-IL+1
ORFAC=-1.D0
IA=1
JA=1
IZ=1
JZ=1
ABSTOL=PDLAMCH( CONTEXT, 'U')
CALL DESCINIT( DESCA, N, N, NUM_DIM, NUM_DIM, 0, 0, CONTEXT, NUM_DIM, INFO )
CALL DESCINIT( DESCZ, N, N, NUM_DIM, NUM_DIM, 0, 0, CONTEXT, NUM_DIM, INFO )
LWORK = -1
LRWORK = -1
LIWORK = -1
ALLOCATE(WORK(LWORK))
ALLOCATE(RWORK(LRWORK))
ALLOCATE(IWORK(LIWORK))
CALL PZHEEVX( JOBZ, RANGE, UPLO, N, A, IA, JA, DESCA, VL, &
VU, IL, IU, ABSTOL, M, NZ, W, ORFAC, Z, IZ, &
JZ, DESCZ, WORK, LWORK, RWORK, LRWORK, IWORK, &
LIWORK, IFAIL, ICLUSTR, GAP, INFO )
LWORK = INT(ABS(WORK(1)))
LRWORK = INT(ABS(RWORK(1)))
LIWORK =INT (ABS(IWORK(1)))
DEALLOCATE(WORK)
DEALLOCATE(RWORK)
DEALLOCATE(IWORK)
ALLOCATE(WORK(LWORK))
ALLOCATE(RWORK(LRWORK))
ALLOCATE(IWORK(LIWORK))
PRINT*, LWORK, LRWORK, LIWORK
CALL PZHEEVX( JOBZ, RANGE, UPLO, N, A, IA, JA, DESCA, VL, &
VU, IL, IU, ABSTOL, M, NZ, W, ORFAC, Z, IZ, &
JZ, DESCZ, WORK, LWORK, RWORK, LRWORK, IWORK, &
LIWORK, IFAIL, ICLUSTR, GAP, INFO )
RETURN
END
The problem is with the second PZHEEVX function. I'm fairly certain that I'm using it correctly since this code is a simpler version of another more complicated code that works fine. For this purpose, I'm only using one processor.
Help!