问题描述
我正在 Fortran 90 中制作一个模块来在给定的矩阵上运行 PARPACK。我有一个现有的 ARPACK 代码，它按预期正常运行。我尝试将其转换为 PARPACK，但它遇到了内存清除错误。我对编码和 Fortran 还很陌生，请原谅我犯的任何错误。
代码：
!ARPACK module
module parpack
implicit none
contains
subroutine parp
! use mpi
include '/usr/lib/x86_64-linux-gnu/openmpi/include/mpif.h'
integer comm,myid,nprocs,rc,nloc,status(MPI_STATUS_SIZE)
integer,parameter :: pres=8
integer nev,ncv,maxn,maxnev,maxncv
parameter (maxn=10**7,maxnev=maxn-1,maxncv=maxn)
! Arrays for SNAUPD
integer iparam(11),ipntr(14)
logical,allocatable :: select(:)
real(kind=pres),allocatable :: workd(:),workl(:),worktmp1(:),worktmp2(:)
! Scalars for SNAUPD
character bmat*1,which*2
integer ido,n,info,ierr,ldv
integer i,j,ishfts,maxitr,mode1,nconv
integer(kind=pres) lworkl
real(kind=pres) tol
! Arrays for SNEUPD
real(kind=pres),allocatable :: d(:,:),resid(:),v(:,workev(:),z(:,:)
! Scalars for SNEUPD
logical rvec,first
real sigmar,sigmai
!==============================================
real(kind=pres),allocatable :: mat(:,:)
open (11,file = 'matrix.dat',status = 'old')
read (11,*) n
!=============================================
! Dimension of the problem
nev = n/10
ncv = nev+2
ldv = n
bmat = 'I'
which = 'LM'
! Additional environment variables
ido = 0
tol = 0.0E+0
info = 0
lworkl = 3*ncv**2+6*ncv
! Algorithm Mode specifications:
ishfts = 1
maxitr = 300
mode1 = 1
iparam(1) = ishfts
iparam(3) = maxitr
iparam(7) = mode1
! Distribution to nodes
!=============================================
! Matrix allocation
allocate (mat(n,n))
! PDNAUPD
allocate (workd(5*n))
allocate (workl(lworkl))
allocate (resid(n))
allocate (worktmp1(n))
allocate (worktmp2(n))
! PDNEUPD
allocate (d(n,3))
allocate (v(ldv,ncv))
allocate (workev(3*n))
allocate (z(ldv,ncv))
allocate (select(ncv))
!===========================================
! Read Matrix from the provided file
mat = 0
read(11,*) mat
mat = transpose(mat)
!===========================================
! MPI Calling
call MPI_INIT(ierr)
comm = MPI_COMM_WORLD
call MPI_COMM_RANK(comm,ierr)
call MPI_COMM_SIZE(comm,ierr)
nloc = n/nprocs
! if ( mod(n,nprocs) .gt. myid ) nloc = nloc + n
!===============================================
20 continue
call pdnaupd(comm,ido,bmat,which,nev,tol,resid,v,ldv,iparam,ipntr,workd,workl,lworkl,info) !Top level solver
call MPI_BARRIER(comm,ierr)
print *,iparam(5) !for testing
!===============================================
if (ido .eq. -1 .or. ido .eq. 1) then
worktmp1 = 0
if (myid .ne. 0) then !It is slave
call MPI_SEND(workd(ipntr(1)),MPI_DOUBLE_PRECISION,comm,ierr)
else !It is host
worktmp1(1:nloc) = workd(ipntr(1):ipntr(1)+nloc-1)
i = nprocs
if (i .gt. 1) then
do i=1,nprocs-1
call MPI_RECV(worktmp1(i*nloc+1),i,status,ierr)
end do
endif
endif
call MPI_BARRIER(comm,ierr)
if (myid .eq. 0) then !It is host
! Matrix multiplication
worktmp2 = 0
call matmultiply(n,mat,worktmp1,worktmp2)
workd(ipntr(2):ipntr(2)+nloc-1) = worktmp2(1:nloc)
i = nprocs
if (i .gt. 1) then
do i=1,nprocs-1
call MPI_SEND(worktmp2(i*nloc+1),100*i,ierr)
end do
endif
else !It is slave
call MPI_RECV(workd(ipntr(2)),100*myid,ierr)
endif
go to 20
! call matmultiply(n,workd(ipntr(1):ipntr(1)+n-1),workd(ipntr(2):ipntr(2)+n-1))
! go to 20
endif
! print *,info !for testing
!===============================================================
! Post-processing for eigenvalues
rvec = .true.
if (myid .eq. 0) then
call pdneupd ( comm,rvec,'A',select,d,d(1,2),z,sigmar,sigmai,&
workev,&
workd,info)
endif
! print *,info !for testing
close(11)
call MPI_FINALIZE(ierr)
return
end subroutine
!==============================================================================================
! Additional Function definitions
subroutine matmultiply(n,w)
integer n,j
integer,parameter :: pres=8
real(kind = pres) mat(n,n),temp(n)
real(kind = pres) v(n),w(n)
temp = 0
do j = 1,n
do i = 1,n
temp(j) = temp(j) + mat(i,j)*v(i)
end do
end do
w = temp
return
end subroutine
end module
对于大量多余的行和评论，我深表歉意，我还没有整理好以进行定稿。
当我使用 ./a.out 在单个线程上运行代码时，我得到以下输出：
Invalid MIT-MAGIC-COOKIE-1 key 1 0 1629760560
1 0 1629760560
1 0 1629760560
1 0 1629760560
.
.
. <A long chain as the code is exhausting all iterations>
.<first of the numbers is ido,which starts with 1 instead of -1 for some reason,second being
.info and third being iparam(5) which is a random number until the final iteration>
.
99 1 1
munmap_chunk(): invalid pointer
Program received signal SIGABRT: Process abort signal.
Backtrace for this error:
#0 0x7f5a863d0d01 in ???
#1 0x7f5a863cfed5 in ???
#2 0x7f5a8620420f in ???
#3 0x7f5a8620418b in ???
#4 0x7f5a861e3858 in ???
#5 0x7f5a8624e3ed in ???
#6 0x7f5a8625647b in ???
#7 0x7f5a862566cb in ???
#8 0x560f05ac1819 in ???
#9 0x560f05abd7bc in checker
at /home/srivatsank/Desktop/fortran/lap_vs_arp/ptest/ptest.f90:45
#10 0x560f05abd8d9 in main
at /home/srivatsank/Desktop/fortran/lap_vs_arp/ptest/ptest.f90:3
Aborted (core dumped)
ptest 中的第 45 行是 call parp
ptest 中的第 3 行是 use parpack(name of the module)
主要代码如下：
program checker
use parpack
use arpack
! use lapack
implicit none
!Program to test LAPACK and ARPACK
! 1. Variable definition
integer a,i
real,allocatable :: mat(:,:)
real t0,t1
a=2
! Loop
! do 20 a = 1,3
! Open File
open(unit=10,status = 'replace')
! 2. Generate Symmetric matrices
n = 10**a
allocate (mat(n,n))
call RANDOM_NUMBER(mat)
! 3. Save symmetric matrices to r.dat
write (10,*) n
do 30 i=1,n
write(10,*) mat(i,:)
30 end do
deallocate(mat)
close(10)
! 4. Test time taken by each of the routines
! call cpu_time(t0)
! call arp
! call cpu_time(t1)
! print *,'n:','ARPACK time taken:',t1-t0
call cpu_time(t0)
call parp
call cpu_time(t1)
print *,'PARPACK time taken:',t1-t0
!20 end do
end program checker
当邮件程序试图退出子程序时，内存错误发生在子程序的最后。我已经通过将语句打印为子例程中的最后一行来验证这一点。
并且在运行 mpirun -np 4 a.out 时，代码只是进入 pdneupd 进程并永久保存在那里。有人可以帮忙吗？
解决方法
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