[petsc-users] Installation question

Mon May 22 18:37:15 CDT 2017

> On May 22, 2017, at 6:00 PM, Pham Pham <pvsang002 at gmail.com> wrote:
> 
> Hi Barry,
> 
> My code using DMDA, the mesh is partitioned in x-direction only. Can I have MPI+OpenMP works in the following way: 
> 
> I want to create a new communicator which includes  processes with Rank%12==0, PETSc objects will be created with this new sub-set of processes. In each node (which has 12 cores), the first core (Rank%12==0) does MPI communicating job (with Rank%12==0 process of other nodes), then commanded other 11 processes do computation works using openMP?

   You cannot convert an MPI rank process into an OpenMP thread. You would just assign one MPI rank per node and have that one rank do 12 OpenMP threads. 

> 
> Thank you.
> 
> On Tue, May 23, 2017 at 1:58 AM, Barry Smith <bsmith at mcs.anl.gov> wrote:
> 
> > On May 22, 2017, at 11:25 AM, Pham Pham <pvsang002 at gmail.com> wrote:
> >
> > Hi Matt,
> >
> > For the machine I have, Is it a good idea if I mix MPI and OpenMP: MPI for cores with Rank%12==0 and OpenMP for the others ?
> >
> 
>    MPI+OpenMP doesn't work this way. Each "rank" is an MPI process, you cannot say some ranks are MPI and some are OpenMP. If you want to use one MPI process per node and have each MPI process have 12 OpenMP threads you need to find out for YOUR systems MPI how you tell it to put one MPI process per node;
> 
>    Barry
> 
> > Thank you,
> >
> > PVS.
> >
> > On Thu, May 11, 2017 at 8:27 PM, Matthew Knepley <knepley at gmail.com> wrote:
> > On Thu, May 11, 2017 at 7:08 AM, Pham Pham <pvsang002 at gmail.com> wrote:
> > Hi Matt,
> >
> > Thank you for the reply.
> >
> > I am using University HPC which has multiple nodes, and should be good for parallel computing. The bad performance might be due to the way I install and run PETSc...
> >
> > Looking at the output when running streams, I can see that the Processor names were the same.
> > Does that mean only one processor involved in computing, did it cause the bad performance?
> >
> > Yes. From the data, it appears that the kind of processor you have has 12 cores, but only enough memory bandwidth to support 1.5 cores.
> > Try running the STREAMS with only 1 process per node. This is a setting in your submission script, but it is different for every cluster. Thus
> > I would ask the local sysdamin for this machine to help you do that. You should see almost perfect scaling with that configuration. You might
> > also try 2 processes per node to compare.
> >
> >   Thanks,
> >
> >      Matt
> >
> > Thank you very much.
> >
> > Ph.
> >
> > Below is testing output:
> >
> > [mpepvs at atlas5-c01 petsc-3.7.5]$ make PETSC_DIR=/home/svu/mpepvs/petsc/petsc-3.7.5 PETSC_ARCH=arch-linux-cxx-opt streams
> > cd src/benchmarks/streams; /usr/bin/gmake  --no-print-directory PETSC_DIR=/home/svu/mpepvs/petsc/petsc-3.7.5 PETSC_ARCH=arch-linux-cxx-opt streams
> > /app1/centos6.3/Intel/xe_2015/impi/5.0.3.048/intel64/bin/mpicxx -o MPIVersion.o c -wd1572 -g -O3   -fPIC    -I/home/svu/mpepvs/petsc/petsc-3.7.5/include -I/hom                                                                                                                                                                                         e/svu/mpepvs/petsc/petsc-3.7.5/arch-linux-cxx-opt/include -I/app1/centos6.3/Intel/xe_2015/impi/5.0.3.048/intel64/include    `pwd`/MPIVersion.c
> > +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
> > The version of PETSc you are using is out-of-date, we recommend updating to the new release
> >  Available Version: 3.7.6   Installed Version: 3.7.5
> > http://www.mcs.anl.gov/petsc/download/index.html
> > +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
> > Running streams with 'mpiexec.hydra ' using 'NPMAX=12'
> > Number of MPI processes 1 Processor names  atlas5-c01
> > Triad:        11026.7604   Rate (MB/s)
> > Number of MPI processes 2 Processor names  atlas5-c01 atlas5-c01
> > Triad:        14669.6730   Rate (MB/s)
> > Number of MPI processes 3 Processor names  atlas5-c01 atlas5-c01 atlas5-c01
> > Triad:        12848.2644   Rate (MB/s)
> > Number of MPI processes 4 Processor names  atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01
> > Triad:        15033.7687   Rate (MB/s)
> > Number of MPI processes 5 Processor names  atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01
> > Triad:        13299.3830   Rate (MB/s)
> > Number of MPI processes 6 Processor names  atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01
> > Triad:        14382.2116   Rate (MB/s)
> > Number of MPI processes 7 Processor names  atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01
> > Triad:        13194.2573   Rate (MB/s)
> > Number of MPI processes 8 Processor names  atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01
> > Triad:        14199.7255   Rate (MB/s)
> > Number of MPI processes 9 Processor names  atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01
> > Triad:        13045.8946   Rate (MB/s)
> > Number of MPI processes 10 Processor names  atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01
> > Triad:        13058.3283   Rate (MB/s)
> > Number of MPI processes 11 Processor names  atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01
> > Triad:        13037.3334   Rate (MB/s)
> > Number of MPI processes 12 Processor names  atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01 atlas5-c01
> > Triad:        12526.6096   Rate (MB/s)
> > ------------------------------------------------
> > np  speedup
> > 1 1.0
> > 2 1.33
> > 3 1.17
> > 4 1.36
> > 5 1.21
> > 6 1.3
> > 7 1.2
> > 8 1.29
> > 9 1.18
> > 10 1.18
> > 11 1.18
> > 12 1.14
> > Estimation of possible speedup of MPI programs based on Streams benchmark.
> > It appears you have 1 node(s)
> > See graph in the file src/benchmarks/streams/scaling.png
> >
> > On Fri, May 5, 2017 at 11:26 PM, Matthew Knepley <knepley at gmail.com> wrote:
> > On Fri, May 5, 2017 at 10:18 AM, Pham Pham <pvsang002 at gmail.com> wrote:
> > Hi Satish,
> >
> > It runs now, and shows a bad speed up:
> > Please help to improve this.
> >
> > http://www.mcs.anl.gov/petsc/documentation/faq.html#computers
> >
> > The short answer is: You cannot improve this without buying a different machine. This is
> > a fundamental algorithmic limitation that cannot be helped by threads, or vectorization, or
> > anything else.
> >
> >    Matt
> >
> > Thank you.
> >
> > <scaling.png>
> > 
> >
> > On Fri, May 5, 2017 at 10:02 PM, Satish Balay <balay at mcs.anl.gov> wrote:
> > With Intel MPI - its best to use mpiexec.hydra [and not mpiexec]
> >
> > So you can do:
> >
> > make PETSC_DIR=/home/svu/mpepvs/petsc/petsc-3.7.5 PETSC_ARCH=arch-linux-cxx-opt MPIEXEC=mpiexec.hydra test
> >
> >
> > [you can also specify --with-mpiexec=mpiexec.hydra at configure time]
> >
> > Satish
> >
> >
> > On Fri, 5 May 2017, Pham Pham wrote:
> >
> > > *Hi,*
> > > *I can configure now, but fail when testing:*
> > >
> > > [mpepvs at atlas7-c10 petsc-3.7.5]$ make
> > > PETSC_DIR=/home/svu/mpepvs/petsc/petsc-3.7.5 PETSC_ARCH=arch-linux-cxx-opt
> > > test   Running test examples to verify correct installation
> > > Using PETSC_DIR=/home/svu/mpepvs/petsc/petsc-3.7.5 and
> > > PETSC_ARCH=arch-linux-cxx-opt
> > > Possible error running C/C++ src/snes/examples/tutorials/ex19 with 1 MPI
> > > process
> > > See http://www.mcs.anl.gov/petsc/documentation/faq.html
> > > mpiexec_atlas7-c10: cannot connect to local mpd (/tmp/mpd2.console_mpepvs);
> > > possible causes:
> > >   1. no mpd is running on this host
> > >   2. an mpd is running but was started without a "console" (-n option)
> > > Possible error running C/C++ src/snes/examples/tutorials/ex19 with 2 MPI
> > > processes
> > > See http://www.mcs.anl.gov/petsc/documentation/faq.html
> > > mpiexec_atlas7-c10: cannot connect to local mpd (/tmp/mpd2.console_mpepvs);
> > > possible causes:
> > >   1. no mpd is running on this host
> > >   2. an mpd is running but was started without a "console" (-n option)
> > > Possible error running Fortran example src/snes/examples/tutorials/ex5f
> > > with 1 MPI process
> > > See http://www.mcs.anl.gov/petsc/documentation/faq.html
> > > mpiexec_atlas7-c10: cannot connect to local mpd (/tmp/mpd2.console_mpepvs);
> > > possible causes:
> > >   1. no mpd is running on this host
> > >   2. an mpd is running but was started without a "console" (-n option)
> > > Completed test examples
> > > =========================================
> > > Now to evaluate the computer systems you plan use - do:
> > > make PETSC_DIR=/home/svu/mpepvs/petsc/petsc-3.7.5
> > > PETSC_ARCH=arch-linux-cxx-opt streams
> > >
> > >
> > >
> > >
> > > *Please help on this.*
> > > *Many thanks!*
> > >
> > >
> > > On Thu, Apr 20, 2017 at 2:02 AM, Satish Balay <balay at mcs.anl.gov> wrote:
> > >
> > > > Sorry - should have mentioned:
> > > >
> > > > do 'rm -rf arch-linux-cxx-opt' and rerun configure again.
> > > >
> > > > The mpich install from previous build [that is currently in
> > > > arch-linux-cxx-opt/]
> > > > is conflicting with --with-mpi-dir=/app1/centos6.3/gnu/mvapich2-1.9/
> > > >
> > > > Satish
> > > >
> > > >
> > > > On Wed, 19 Apr 2017, Pham Pham wrote:
> > > >
> > > > > I reconfigured PETSs with installed MPI, however, I got serous error:
> > > > >
> > > > > **************************ERROR*************************************
> > > > >   Error during compile, check arch-linux-cxx-opt/lib/petsc/conf/make.log
> > > > >   Send it and arch-linux-cxx-opt/lib/petsc/conf/configure.log to
> > > > > petsc-maint at mcs.anl.gov
> > > > > ********************************************************************
> > > > >
> > > > > Please explain what is happening?
> > > > >
> > > > > Thank you very much.
> > > > >
> > > > >
> > > > >
> > > > >
> > > > > On Wed, Apr 19, 2017 at 11:43 PM, Satish Balay <balay at mcs.anl.gov>
> > > > wrote:
> > > > >
> > > > > > Presumably your cluster already has a recommended MPI to use [which is
> > > > > > already installed. So you should use that - instead of
> > > > > > --download-mpich=1
> > > > > >
> > > > > > Satish
> > > > > >
> > > > > > On Wed, 19 Apr 2017, Pham Pham wrote:
> > > > > >
> > > > > > > Hi,
> > > > > > >
> > > > > > > I just installed petsc-3.7.5 into my university cluster. When
> > > > evaluating
> > > > > > > the computer system, PETSc reports "It appears you have 1 node(s)", I
> > > > > > donot
> > > > > > > understand this, since the system is a multinodes system. Could you
> > > > > > please
> > > > > > > explain this to me?
> > > > > > >
> > > > > > > Thank you very much.
> > > > > > >
> > > > > > > S.
> > > > > > >
> > > > > > > Output:
> > > > > > > =========================================
> > > > > > > Now to evaluate the computer systems you plan use - do:
> > > > > > > make PETSC_DIR=/home/svu/mpepvs/petsc/petsc-3.7.5
> > > > > > > PETSC_ARCH=arch-linux-cxx-opt streams
> > > > > > > [mpepvs at atlas7-c10 petsc-3.7.5]$ make
> > > > > > > PETSC_DIR=/home/svu/mpepvs/petsc/petsc-3.7.5
> > > > > > PETSC_ARCH=arch-linux-cxx-opt
> > > > > > > streams
> > > > > > > cd src/benchmarks/streams; /usr/bin/gmake  --no-print-directory
> > > > > > > PETSC_DIR=/home/svu/mpepvs/petsc/petsc-3.7.5
> > > > > > PETSC_ARCH=arch-linux-cxx-opt
> > > > > > > streams
> > > > > > > /home/svu/mpepvs/petsc/petsc-3.7.5/arch-linux-cxx-opt/bin/mpicxx -o
> > > > > > > MPIVersion.o -c -Wall -Wwrite-strings -Wno-strict-aliasing
> > > > > > > -Wno-unknown-pragmas -fvisibility=hidden -g -O
> > > > > > > -I/home/svu/mpepvs/petsc/petsc-3.7.5/include
> > > > > > > -I/home/svu/mpepvs/petsc/petsc-3.7.5/arch-linux-cxx-opt/include
> > > > > > > `pwd`/MPIVersion.c
> > > > > > > Running streams with
> > > > > > > '/home/svu/mpepvs/petsc/petsc-3.7.5/arch-linux-cxx-opt/bin/mpiexec '
> > > > > > using
> > > > > > > 'NPMAX=12'
> > > > > > > Number of MPI processes 1 Processor names  atlas7-c10
> > > > > > > Triad:         9137.5025   Rate (MB/s)
> > > > > > > Number of MPI processes 2 Processor names  atlas7-c10 atlas7-c10
> > > > > > > Triad:         9707.2815   Rate (MB/s)
> > > > > > > Number of MPI processes 3 Processor names  atlas7-c10 atlas7-c10
> > > > > > atlas7-c10
> > > > > > > Triad:        13559.5275   Rate (MB/s)
> > > > > > > Number of MPI processes 4 Processor names  atlas7-c10 atlas7-c10
> > > > > > atlas7-c10
> > > > > > > atlas7-c10
> > > > > > > Triad:        14193.0597   Rate (MB/s)
> > > > > > > Number of MPI processes 5 Processor names  atlas7-c10 atlas7-c10
> > > > > > atlas7-c10
> > > > > > > atlas7-c10 atlas7-c10
> > > > > > > Triad:        14492.9234   Rate (MB/s)
> > > > > > > Number of MPI processes 6 Processor names  atlas7-c10 atlas7-c10
> > > > > > atlas7-c10
> > > > > > > atlas7-c10 atlas7-c10 atlas7-c10
> > > > > > > Triad:        15476.5912   Rate (MB/s)
> > > > > > > Number of MPI processes 7 Processor names  atlas7-c10 atlas7-c10
> > > > > > atlas7-c10
> > > > > > > atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10
> > > > > > > Triad:        15148.7388   Rate (MB/s)
> > > > > > > Number of MPI processes 8 Processor names  atlas7-c10 atlas7-c10
> > > > > > atlas7-c10
> > > > > > > atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10
> > > > > > > Triad:        15799.1290   Rate (MB/s)
> > > > > > > Number of MPI processes 9 Processor names  atlas7-c10 atlas7-c10
> > > > > > atlas7-c10
> > > > > > > atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10
> > > > > > > Triad:        15671.3104   Rate (MB/s)
> > > > > > > Number of MPI processes 10 Processor names  atlas7-c10 atlas7-c10
> > > > > > > atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10
> > > > > > > atlas7-c10 atlas7-c10
> > > > > > > Triad:        15601.4754   Rate (MB/s)
> > > > > > > Number of MPI processes 11 Processor names  atlas7-c10 atlas7-c10
> > > > > > > atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10
> > > > > > > atlas7-c10 atlas7-c10 atlas7-c10
> > > > > > > Triad:        15434.5790   Rate (MB/s)
> > > > > > > Number of MPI processes 12 Processor names  atlas7-c10 atlas7-c10
> > > > > > > atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10
> > > > > > > atlas7-c10 atlas7-c10 atlas7-c10 atlas7-c10
> > > > > > > Triad:        15134.1263   Rate (MB/s)
> > > > > > > ------------------------------------------------
> > > > > > > np  speedup
> > > > > > > 1 1.0
> > > > > > > 2 1.06
> > > > > > > 3 1.48
> > > > > > > 4 1.55
> > > > > > > 5 1.59
> > > > > > > 6 1.69
> > > > > > > 7 1.66
> > > > > > > 8 1.73
> > > > > > > 9 1.72
> > > > > > > 10 1.71
> > > > > > > 11 1.69
> > > > > > > 12 1.66
> > > > > > > Estimation of possible speedup of MPI programs based on Streams
> > > > > > benchmark.
> > > > > > > It appears you have 1 node(s)
> > > > > > > Unable to plot speedup to a file
> > > > > > > Unable to open matplotlib to plot speedup
> > > > > > > [mpepvs at atlas7-c10 petsc-3.7.5]$
> > > > > > > [mpepvs at atlas7-c10 petsc-3.7.5]$
> > > > > > >
> > > > > >
> > > > > >
> > > > >
> > > >
> > > >
> > >
> >
> >
> >
> >
> >
> > --
> > What most experimenters take for granted before they begin their experiments is infinitely more interesting than any results to which their experiments lead.
> > -- Norbert Wiener
> >
> >
> >
> >
> > --
> > What most experimenters take for granted before they begin their experiments is infinitely more interesting than any results to which their experiments lead.
> > -- Norbert Wiener
> >
> 
> 