netcdf-c/examples/F90/simple_xy_par_wr.f90
2010-06-03 13:23:50 +00:00

117 lines
3.9 KiB
Fortran

! This is part of the netCDF package.
! Copyright 2006 University Corporation for Atmospheric Research/Unidata.
! See COPYRIGHT file for conditions of use.
! This is a very simple example which writes a 2D array of sample
! data. To handle this in netCDF we create two shared dimensions,
! "x" and "y", and a netCDF variable, called "data". It uses
! parallel I/O to write the file from all processors at the same
! time.
! This example demonstrates the netCDF Fortran 90 API. This is part
! of the netCDF tutorial, which can be found at:
! http://www.unidata.ucar.edu/software/netcdf/docs/netcdf-tutorial
! Full documentation of the netCDF Fortran 90 API can be found at:
! http://www.unidata.ucar.edu/software/netcdf/docs/netcdf-f90
! $Id: simple_xy_par_wr.f90,v 1.3 2010/06/01 15:34:49 ed Exp $
program simple_xy_par_wr
use netcdf
implicit none
include 'mpif.h'
! This is the name of the data file we will create.
character (len = *), parameter :: FILE_NAME = "simple_xy_par.nc"
! We are writing 2D data.
integer, parameter :: NDIMS = 2
! When we create netCDF files, variables and dimensions, we get back
! an ID for each one.
integer :: ncid, varid, dimids(NDIMS)
integer :: x_dimid, y_dimid
! These will tell where in the data file this processor should
! write.
integer :: start(NDIMS), count(NDIMS)
! This is the data array we will write. It will just be filled with
! the rank of this processor.
integer, allocatable :: data_out(:)
! MPI stuff: number of processors, rank of this processor, and error
! code.
integer :: p, my_rank, ierr
! Loop indexes, and error handling.
integer :: x, stat
! Initialize MPI, learn local rank and total number of processors.
call MPI_Init(ierr)
call MPI_Comm_rank(MPI_COMM_WORLD, my_rank, ierr)
call MPI_Comm_size(MPI_COMM_WORLD, p, ierr)
! Create some pretend data. We just need one row.
allocate(data_out(p), stat = stat)
if (stat .ne. 0) stop 3
do x = 1, p
data_out(x) = my_rank
end do
! Create the netCDF file. The NF90_NETCDF4 flag causes a
! HDF5/netCDF-4 file to be created. The comm and info parameters
! cause parallel I/O to be enabled. Use either NF90_MPIIO or
! NF90_MPIPOSIX to select between MPI/IO and MPI/POSIX.
call check(nf90_create(FILE_NAME, IOR(NF90_NETCDF4, NF90_MPIIO), ncid, &
comm = MPI_COMM_WORLD, info = MPI_INFO_NULL))
! Define the dimensions. NetCDF will hand back an ID for
! each. Metadata operations must take place on all processors.
call check(nf90_def_dim(ncid, "x", p, x_dimid))
call check(nf90_def_dim(ncid, "y", p, y_dimid))
! The dimids array is used to pass the IDs of the dimensions of
! the variables. Note that in fortran arrays are stored in
! column-major format.
dimids = (/ y_dimid, x_dimid /)
! Define the variable. The type of the variable in this case is
! NF90_INT (4-byte integer).
call check(nf90_def_var(ncid, "data", NF90_INT, dimids, varid))
! End define mode. This tells netCDF we are done defining
! metadata. This operation is collective and all processors will
! write their metadata to disk.
call check(nf90_enddef(ncid))
! Write the pretend data to the file. Each processor writes one row.
start = (/ 1, my_rank + 1/)
count = (/ p, 1 /)
call check(nf90_put_var(ncid, varid, data_out, start = start, &
count = count))
! Close the file. This frees up any internal netCDF resources
! associated with the file, and flushes any buffers.
call check( nf90_close(ncid) )
! Free my local memory.
deallocate(data_out)
! MPI library must be shut down.
call MPI_Finalize(ierr)
if (my_rank .eq. 0) print *, "*** SUCCESS writing example file ", FILE_NAME, "! "
contains
subroutine check(status)
integer, intent ( in) :: status
if(status /= nf90_noerr) then
print *, trim(nf90_strerror(status))
stop 2
end if
end subroutine check
end program simple_xy_par_wr