[PETSC #16590] PETSc on Dual Opteron Cluster

amjad ali amjad11 at gmail.com
Tue Sep 4 09:32:57 CDT 2007


Hello all in PETSc team and others,

I tried to install/configure PETSc 2.3.3-p5 on my FC6 desktop computer.
Following Happend:

[petsc1 at localhost petsc-2.3.3-p5]$ ./config/configure.py --with-cc=gcc
--with-fc=gfortran --with-cxx=g++ --download-f-blas-lapack=1
--download-mpich=1 --with-scalar-type=complex --with-clanguage=cxx
=================================================================================
             Configuring PETSc to compile on your
system
=================================================================================
TESTING: configureLibrary from config.packages.BlasLapack
(python/BuildSystem/con*********************************************************************************
         UNABLE to CONFIGURE with GIVEN OPTIONS    (see configure.log for
details):
---------------------------------------------------------------------------------------
Error downloading fblaslapack.tar.gz requested with -with-f-blas-lapack
option
*********************************************************************************

How to tackle this situation?

At the moment I want to develop & run PARALLEL codes on my FC6 Desktop
(single machine). Should I use the option --download-mpich=1 or
--download-mpich=0

Regards to All.
Amjad Ali.

On 9/4/07, Matthew Knepley <petsc-maint at mcs.anl.gov> wrote:
>
> On 9/4/07, amjad ali <amjad11 at gmail.com> wrote:
> > Hello Satish, hoping you will be fine and happy.
> >
> > Is it necessary to have MPICH2 already installed (seaprately), before
> > installing/configuring PETSc.
>
> If this is Windows, yes it is necessary (if you want to run in
> parallel). If not,
> you can use --with-mpi=0.
>
> > Do we need at all MPICH2 separately to wprk with PETSc or installing
> PETSc
> > will automatically have MPI implementation within that?
>
> PETSc can automatically build MPI, but not on Windows unfortunately.
>
>   Thanks,
>
>      Matt
>
> > regards,
> > Amjad Ali.
> >
> > Also please answer my Yesterday's question:
> >
> > What is your opinion about using PETSc for developing/running
> appliactions
> > on MS Windows (Compute Cluster server) based cluster?
> >
> > Is it better/equal to Linux based system in performance?
> >
> > regards,
> > Amjad Ali.
> >
> >
> >
> > On 8/21/07, amjad ali <amjad11 at gmail.com> wrote:
> > >
> > > Hello Satish,
> > > Thanks a lot for your kind answers. These are definitely helpful in
> > clearifying concepts.
> > >
> > > Regards,
> > > Amjad Ali
> > >
> > >
> > >
> > > On 8/21/07, Satish Balay <petsc-maint at mcs.anl.gov > wrote:
> > > > On Mon, 20 Aug 2007, amjad ali wrote:
> > > >
> > > > > Hello,
> > > > > Thanks Balay for your kind reply.
> > > > >
> > > > > As my system is:
> > > > > Total cpu cores =4x4 = 16.  And there are 2 memory banks per node,
> so
> > total
> > > > > = 8 memory banks for the complete cluster.
> > > > >
> > > > > Let me ask my question in a better way:
> > > > > *Is this system is suffiently good (giving decent performance) to
> RUN
> > > > > my "PETSc based Parallel CFD/FEM code" on this system *?
> > > >
> > > > it should be fine.
> > > >
> > > > > Can you please suggest any other *BETTER* PC-cluster for my PETSc
> > code?
> > > >
> > > > Inte Core Duos appear to have much higher mermory bandwidth - so
> they
> > > > can potentially do better [this is unverified/speculation. Also the
> > > > latencies are higher - so I'm not sure if this hurts performance
> > > > much].
> > > >
> > > > > > Also - we recommend doing the development on machines where its
> easy
> > > > > > to run debuggers [your desktop or laptop etc..] - and not a
> parallel
> > > > > > machine - where such things are hard to do.
> > > > >
> > > > > How to install and use PETSc on desktop (single machine)? Is it
> > straight
> > > > > forward?
> > > >
> > > > Yes [assuming your desktop is linux] its straight forward. Just use
> > > > the configure option --download-mpich=1. You'll be able to run
> > > > parallel codes on this machine [by default MPICH will use multiple
> > > > processes for the parallel run, and all these processes will run on
> > > > your desktop].
> > > >
> > > > When developing code - performance is not critical, so the above
> model
> > > > will be more convinent than developing on a cluster.
> > > >
> > > > Satish
> > > >
> > >
> > >
> >
> >
>
>
> --
> 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
>
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