	    Installation instructions for Parallel HDF5
	    -------------------------------------------


1. Overview
-----------
This file contains instructions for the installation of parallel HDF5 (PHDF5).
It is assumed that you are familiar with the general installation steps as
described in the INSTALL file.  Get familiar with that file before trying
the parallel HDF5 installation.

The remaining of this section explains the requirements to run PHDF5.
Section 2 shows quick instructions for some well know systems.  Section 3
explains the details of the installation steps. Section 4 shows some details
of running the parallel test suites.


1.1. Requirements
-----------------
PHDF5 requires an MPI compiler with MPI-IO support and a POSIX compliant
(Ref. 1) parallel file system.  If you don't know yet, you should first consult
with your system support staff of information how to compile an MPI program,
how to run an MPI application, and how to access the parallel file system.
There are sample MPI-IO C and Fortran programs in the appendix section of
"Sample programs".  You can use them to run simple tests of your MPI compilers
and the parallel file system.


1.2. Further Help
-----------------
If you still have difficulties installing PHDF5 in your system, please send
mail to
	help@hdfgroup.org

In your mail, please include the output of "uname -a". If you have run the
"configure" command, attach the output of the command and the content of
the file "config.log".


2. Quick Instruction for known systems
--------------------------------------
The following shows particular steps to run the parallel HDF5 configure for
a few machines we've tested. If your particular platform is not shown or
somehow the steps do not work for yours, please go to the next section for
more detailed explanations.


2.1. Know parallel compilers
----------------------------
HDF5 knows several parallel compilers: mpicc, hcc, mpcc, mpcc_r.  To build
parallel HDF5 with one of the above, just set CC as it and configure.
The "--enable-parallel" is optional in this case.

    $ CC=/usr/local/mpi/bin/mpicc ./configure --prefix=<install-directory>
    $ make		# build the library
    $ make check	# verify the correctness
			# Read the Details section about parallel tests.
    $ make install


2.2. IBM SP
-----------
During the build stage, the H5detect is compiled and executed to generate
the source file H5Tinit.c which is compiled as part of the HDF5 library. In
parallel mode, make sure your environment variables are set correctly to
execute a single process mpi application. Otherwise, multiple processes
attempt to write to the same H5Tinit.c file, resulting in a scrambled
source file.  Unfortunately, the setting varies from machine to machine.
E.g., the following works for the IBM SP machine at LLNL.

    setenv MP_PROCS     1
    setenv MP_NODES     1
    setenv MP_LABELIO   no
    setenv MP_RMPOOL    0
    setenv LLNL_COMPILE_SINGLE_THREADED TRUE    # for LLNL site only

The shared library configuration is problematic.  So, only static library
is supported.

Then do the following steps:

    $ ./configure --disable-shared --prefix=<install-directory>
    $ make		# build the library
    $ make check	# verify the correctness
			# Read the Details section about parallel tests.
    $ make install

We also suggest that you add "-qxlf90=autodealloc" to FCFLAGS when building
parallel with fortran enabled.  This can be done by invoking:

    setenv FCFLAGS -qxlf90=autodealloc		# 32 bit build
or
    setenv FCFLAGS "-q64 -qxlf90=autodealloc"	# 64 bit build

prior to running configure.  Recall that the "-q64" is necessary for 64
bit builds.


2.3. Linux 2.4 and greater
--------------------------
Be sure that your installation of MPICH was configured with the following
configuration command-line option:

    -cflags="-D_LARGEFILE_SOURCE -D_LARGEFILE64_SOURCE -D_FILE_OFFSET_BITS=64"

This allows for >2GB sized files on Linux systems and is only available with
Linux kernels 2.4 and greater.


2.4. Red Storm (Cray XT3) (for v1.8 and later)
-------------------------
Both serial and parallel HDF5 are supported in Red Storm.

2.4.1 Building serial HDF5 for Red Storm
------------------------------------------
The following steps are for building the serial HDF5 for the Red Storm
compute nodes.  They would probably work for other Cray XT3 systems but have
not been verified.

# Assume you already have a copy of HDF5 source code in directory `hdf5' and
# want to install the binary in directory `/project/hdf5/hdf5'.

$ cd hdf5
$ bin/yodconfigure configure
$ env RUNSERIAL="yod -sz 1" \
    CC=cc FC=ftn CXX=CC \
    ./configure --prefix=/project/hdf5/hdf5
$ make
$ make check

# if all is well, install the binary.
$ make install

2.4.2 Building parallel HDF5 for Red Storm
------------------------------------------
The following steps are for building the Parallel HDF5 for the Red Storm
compute nodes.  They would probably work for other Cray XT3 systems but have
not been verified.

# Assume you already have a copy of HDF5 source code in directory `hdf5' and
# want to install the binary in directory `/project/hdf5/phdf5'.  You also
# have done the proper setup to have mpicc and mpif90 as the compiler commands.

$ cd hdf5
$ bin/yodconfigure configure
$ env RUNSERIAL="yod -sz 1" RUNPARALLEL="yod -sz 3" \
    CC=cc FC=ftn \
    ./configure --enable-parallel --prefix=/project/hdf5/phdf5
$ make
$ make check

# if all is well, install the binary.
$ make install

2.4.3 Red Storm known problems
------------------------------
For Red Storm, a Cray XT3 system, the yod command sometimes gives the
message,  "yod allocation delayed for node recovery".  This interferes with
test suites that do not expect seeing this message.  To bypass this problem,
I launch the executables with a command shell script called "myyod" which
consists of the following lines.  (You should set $RUNSERIAL and $RUNPARALLEL
to use myyod instead of yod.)
==== myyod =======
#!/bin/sh
# sleep 2 seconds to allow time for the node recovery else it pops the
# message,
#   yod allocation delayed for node recovery
sleep 2
yod $*
==== end of myyod =======

For Red Storm, a Cray XT3 system, the tools/h5ls/testh5ls.sh will fail on
the test "Testing h5ls -w80 -r -g tgroup.h5" fails.  This test is
expected to fail and exit with a non-zero code but the yod command does
not propagate the exit code of the executables. Yod always returns 0 if it
can launch the executable.  The test suite shell expects a non-zero for
this particular test, therefore it concludes the test has failed when it
receives 0 from yod.  To bypass this problem for now, change the following
lines in the tools/h5ls/testh5ls.sh.
======== Original =========
# The following combination of arguments is expected to return an error message
# and return value 1
TOOLTEST tgroup-1.ls 1 -w80 -r -g tgroup.h5
======== Skip the test =========
echo SKIP TOOLTEST tgroup-1.ls 1 -w80 -r -g tgroup.h5
======== end of bypass ========

2.5. Hopper (Cray XE6) (for v1.8 and later)
-------------------------

2.5.1 Building HDF5 for Hopper
------------------------------------------ 
The following steps are for building HDF5 for the Hopper compute
nodes.  They would probably work for other Cray XE6 systems but have
not been verified.

Obtain a copy from the HDF ftp server:
http://www.hdfgroup.org/ftp/HDF5/current/src/
(link might change, so always double check the HDF group website).

$ wget http://www.hdfgroup.org/ftp/HDF5/current/src/hdf5-x.x.x.tar.gz

unpack the tarball

$ cd hdf5-x.x.x/
$ CC=cc FC=ftn ./configure \
--prefix=/project/hdf5/hdf5 --enable-parallel --enable-fortran \
--disable-shared --disable-production 
$ make 

Run make check. make check should be run on the compute nodes, not the
front end nodes.  So using a PBS batch script, allocate 4 or more
cores. Always consult with the machine's website on how to create PBS
scripts and allocate nodes for your job. For Hopper, all the
information can be found on:
http://www.nersc.gov/systems/hopper-cray-xe6/

save the PBS script into your HDF5 build directory. The PBS script
should contain (besides the PBS node allocation requests)the
following:

--------------------------------------------------------------
cd $PBS_O_WORKDIR

##set RUNSERIAL and RUNPARALLEL like this in the PBS script:
export RUNPARALLEL="aprun -n 6"
export RUNSERIAL="aprun -n 1"

##execute make check:
make check
--------------------------------------------------------------

Once the job runs and all is well, install the binary:
$ make install

2.5.2 Hopper known issues
------------------------------
Issue 1:
Sometimes when building the library with make, you might get this problem:

LD_LIBRARY_PATH="$LD_LIBRARY_PATH`echo | \
sed -e 's/-L/:/g' -e 's/
//g'`" \
./H5make_libsettings > H5lib_settings.c
|| \
(test $HDF5_Make_Ignore && echo "*** Error ignored")
|| \
(rm -f H5lib_settings.c ; exit 1)
/bin/sh: line 4: 9644 Segmentation fault
LD_LIBRARY_PATH="$LD_LIBRARY_PATH`echo | sed -e 's/-L/:/g' -e 's/
//g'`" ./H5make_libsettings > H5lib_settings.c

If that happens, you are probable running with make -j <x>. In that
case, you need to cleanup everything and start again as detailed above
but use serial make (do not use -j <x>).

Issue 2:
* When building using the Cray compilers on Cray machines, HDF5
  configure mistakenly thinks the compiler is an intel compiler and
  sets the -std=c99 flag which breaks configure on Cray. To build HDF5
  properly on a Cray machine, please consult with the instructions in
  INSTALL_parallel for building on Hopper.
  (MSC - 2013/04/26 - HDFFV-8429)

Issue 3:
* On hopper, the build failed when RUNSERIAL and RUNPARALLEL are set
  to aprun -np X, because the H5lib_settings.c file was not generated
  properly. Not setting those environment variables works, because
  configure was able to automatically detect that it's a Cray system
  and used the proper launch commands when necessary. 
  (MSC - 2012/04/18)

3. Detail explanation
---------------------

3.1. Installation steps (Uni/Multiple processes modes)
-----------------------
During the step of configure, you must be running in the uni-process mode.
If multiple processes are doing the configure simultaneously, they will
incur errors.

In the build step (make), it depends on your make command whether it can
run correctly in multiple processes mode.  If you are not sure, you should
try running it in uni-process mode.

In the test step (make check), if your system can control number of processes
running in the MPI application, you can just use "make check".  But if your
system (e.g., IBM SP) has a fixed number of processes for each batch run,
you need to do the serial tests by "make check-s", requesting 1 process and
then do the parallel tests by "make check-p", requesting n processes.

Lastly, "make install" should be run in the uni-process mode.


3.2. Configure details
----------------------
The HDF5 library can be configured to use MPI and MPI-IO for parallelism on
a distributed multi-processor system. The easiest way to do this is to have
a properly installed parallel compiler (e.g., MPICH's mpicc or IBM's mpcc_r)
and supply the compiler name as the value of the CC environment variable.
For examples,

    $ CC=mpcc_r ./configure
    $ CC=/usr/local/mpi/bin/mpicc ./configure

If no such a compiler command is available then you must use your normal
C compiler along with the location(s) of MPI/MPI-IO files to be used.
For example,

    $ CPPFLAGS=-I/usr/local/mpi/include \
      LDFLAGS=-L/usr/local/mpi/lib/LINUX/ch_p4 \
      ./configure --enable-parallel=mpich

If a parallel library is being built then configure attempts to determine how
to run a parallel application on one processor and on many processors. If the
compiler is `mpicc' and the user hasn't specified values for RUNSERIAL and
RUNPARALLEL then configure chooses `mpiexec' from the same directory as `mpicc':

    RUNSERIAL:    /usr/local/mpi/bin/mpiexec -np 1
    RUNPARALLEL:  /usr/local/mpi/bin/mpiexec -np $${NPROCS:=6}

The `$${NPROCS:=6}' will be substituted with the value of the NPROCS
environment variable at the time `make check' is run (or the value 6).


4. Parallel test suite
----------------------
The testpar/ directory contains tests for Parallel HDF5 and MPI-IO.  Here are
some notes about some of the tests.

The t_mpi tests the basic functionalities of some MPI-IO features used by
Parallel HDF5.  It usually exits with non-zero code if a required MPI-IO
feature does not succeed as expected.  One exception is the testing of
accessing files larger than 2GB.  If the underlying filesystem or if the
MPI-IO library fails to handle file sizes larger than 2GB, the test will
print informational messages stating the failure but will not exit with
non-zero code.  Failure to support file size greater than 2GB is not a fatal
error for HDF5 because HDF5 can use other file-drivers such as families of
files to bypass the file size limit.

The t_cache does many small sized I/O requests and may not run well in a
slow file system such as NFS disk. If it takes a long time to run it, try
set the environment variable $HDF5_PARAPREFIX to a file system more suitable
for MPI-IO requests before running t_cache.

By default, the parallel tests use the current directory as the test directory.
This can be changed by the environment variable $HDF5_PARAPREFIX.  For example,
if the tests should use directory /PFS/user/me, do
    HDF5_PARAPREFIX=/PFS/user/me
    export HDF5_PARAPREFIX
    make check

(In some batch job system, you many need to hardset HDF5_PARAPREFIX in the
shell initial files like .profile, .cshrc, etc.)


Reference
---------
1. POSIX Compliant. A good explanation is by Donald Lewin,
    After a write() to a regular file has successfully returned, any
    successful read() from each byte position on the file that was modified
    by that write() will return the date that was written by the write(). A
    subsequent write() to the same byte will overwrite the file data. If a
    read() of a file data can be proven by any means [e.g., MPI_Barrier()]
    to occur after a write() of that data, it must reflect that write(),
    even if the calls are made by a different process.
	Lewin, D. (1994). "POSIX Programmer's Guide (pg. 513-4)". O'Reilly
	& Associates.


Appendix A. Sample programs
---------------------------
Here are sample MPI-IO C and Fortran programs.  You may use them to run simple
tests of your MPI compilers and the parallel file system.  The MPI commands
used here are mpicc, mpif90 and mpiexec.  Replace them with the commands of
your system.

The programs assume they run in the parallel file system. Thus they create
the test data file in the current directory.  If the parallel file system
is somewhere else, you need to run the sample programs there or edit the
programs to use a different file name.

Example compiling and running:

% mpicc Sample_mpio.c -o c.out
% mpiexec -np 4 c.out

% mpif90 Sample_mpio.f90 -o f.out
% mpiexec -np 4 f.out


==> Sample_mpio.c <==
/* Simple MPI-IO program testing if a parallel file can be created.
 * Default filename can be specified via first program argument.
 * Each process writes something, then reads all data back.
 */

#include <mpi.h>
#ifndef MPI_FILE_NULL           /*MPIO may be defined in mpi.h already       */
#   include <mpio.h>
#endif

#define DIMSIZE	10		/* dimension size, avoid powers of 2. */
#define PRINTID printf("Proc %d: ", mpi_rank)

main(int ac, char **av)
{
    char hostname[128];
    int  mpi_size, mpi_rank;
    MPI_File fh;
    char *filename = "./mpitest.data";
    char mpi_err_str[MPI_MAX_ERROR_STRING];
    int  mpi_err_strlen;
    int  mpi_err;
    char writedata[DIMSIZE], readdata[DIMSIZE];
    char expect_val;
    int  i, irank; 
    int  nerrors = 0;		/* number of errors */
    MPI_Offset  mpi_off;
    MPI_Status  mpi_stat;

    MPI_Init(&ac, &av);
    MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);
    MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);

    /* get file name if provided */
    if (ac > 1){
	filename = *++av;
    }
    if (mpi_rank==0){
	printf("Testing simple MPIO program with %d processes accessing file %s\n",
	    mpi_size, filename);
        printf("    (Filename can be specified via program argument)\n");
    }

    /* show the hostname so that we can tell where the processes are running */
    if (gethostname(hostname, 128) < 0){
	PRINTID;
	printf("gethostname failed\n");
	return 1;
    }
    PRINTID;
    printf("hostname=%s\n", hostname);

    if ((mpi_err = MPI_File_open(MPI_COMM_WORLD, filename,
	    MPI_MODE_RDWR | MPI_MODE_CREATE | MPI_MODE_DELETE_ON_CLOSE,
	    MPI_INFO_NULL, &fh))
	    != MPI_SUCCESS){
	MPI_Error_string(mpi_err, mpi_err_str, &mpi_err_strlen);
	PRINTID;
	printf("MPI_File_open failed (%s)\n", mpi_err_str);
	return 1;
    }

    /* each process writes some data */
    for (i=0; i < DIMSIZE; i++)
	writedata[i] = mpi_rank*DIMSIZE + i;
    mpi_off = mpi_rank*DIMSIZE;
    if ((mpi_err = MPI_File_write_at(fh, mpi_off, writedata, DIMSIZE, MPI_BYTE,
	    &mpi_stat))
	    != MPI_SUCCESS){
	MPI_Error_string(mpi_err, mpi_err_str, &mpi_err_strlen);
	PRINTID;
	printf("MPI_File_write_at offset(%ld), bytes (%d), failed (%s)\n",
		(long) mpi_off, (int) DIMSIZE, mpi_err_str);
	return 1;
    };

    /* make sure all processes has done writing. */
    MPI_Barrier(MPI_COMM_WORLD);

    /* each process reads all data and verify. */
    for (irank=0; irank < mpi_size; irank++){
	mpi_off = irank*DIMSIZE;
	if ((mpi_err = MPI_File_read_at(fh, mpi_off, readdata, DIMSIZE, MPI_BYTE,
		&mpi_stat))
		!= MPI_SUCCESS){
	    MPI_Error_string(mpi_err, mpi_err_str, &mpi_err_strlen);
	    PRINTID;
	    printf("MPI_File_read_at offset(%ld), bytes (%d), failed (%s)\n",
		    (long) mpi_off, (int) DIMSIZE, mpi_err_str);
	    return 1;
	};
	for (i=0; i < DIMSIZE; i++){
	    expect_val = irank*DIMSIZE + i;
	    if (readdata[i] != expect_val){
		PRINTID;
		printf("read data[%d:%d] got %d, expect %d\n", irank, i,
			readdata[i], expect_val);
		nerrors++;
	    }
	}
    }
    if (nerrors)
	return 1;

    MPI_File_close(&fh);

    PRINTID;
    printf("all tests passed\n");

    MPI_Finalize();
    return 0;
}

==> Sample_mpio.f90 <==
!
! The following example demonstrates how to create and close a parallel
! file using MPI-IO calls.
!
! USE MPI is the proper way to bring in MPI definitions but many
! MPI Fortran compiler supports the pseudo standard of INCLUDE.
! So, HDF5 uses the INCLUDE statement instead.
! 

     PROGRAM MPIOEXAMPLE

     ! USE MPI

     IMPLICIT NONE

     INCLUDE 'mpif.h'
        
     CHARACTER(LEN=80), PARAMETER :: filename = "filef.h5" ! File name
     INTEGER     ::   ierror  ! Error flag
     INTEGER     ::   fh      ! File handle
     INTEGER     ::   amode   ! File access mode
     
     call MPI_INIT(ierror)
     amode = MPI_MODE_RDWR + MPI_MODE_CREATE + MPI_MODE_DELETE_ON_CLOSE
     call MPI_FILE_OPEN(MPI_COMM_WORLD, filename, amode, MPI_INFO_NULL, fh, ierror)
     print *, "Trying to create ", filename
     if ( ierror .eq. MPI_SUCCESS ) then
        print *, "MPI_FILE_OPEN succeeded"
        call MPI_FILE_CLOSE(fh, ierror)
     else
        print *, "MPI_FILE_OPEN failed"
     endif

     call MPI_FINALIZE(ierror);
     END PROGRAM
