In case of non-cooperative sysadmins,
can't you just have instances of MPI installed on your accounts on the
slaves?
I presume each slave has a Sage installation (with OpenMPI), so this
probably means you need to create symbolic links to appropriate
directories, and/or perhaps setting LD_LIBRARY_PATHs....
MPI installations don't need to be system-wide, hopefully...


On Jan 22, 8:14 pm, Mikael Vejdemo Johansson <michiex...@gmail.com>
wrote:
> On Jan 22, 11:26 am, Dima Pasechnik <dimp...@gmail.com> wrote:
>
> > On Jan 22, 5:32 pm, Mikael Vejdemo Johansson <michiex...@gmail.com>
> > wrote:
>
> > > Yeah, Parallel Python looks really neat. However, I actually use quite
> > > a bit of the inter-process communication parts of MPI in my code; and
> > > PP doesn't seem to have as useful primitives for that.
>
> > > Is there really no sensible way to use OpenMPI and Sage on more than
> > > one computer?
>
> > Do you use mpi4py spkg?
>
> This is exactly what I'm using, and I'm also using the openmpi spkg.
> Furthermore, because of the infrastructure of the computers I'm trying
> to use, the sysadmin is reluctant to install OpenMPI on the systems
> themselves — and so I was really deeply hoping to be able to use the
> OpenMPI that comes with Sage directly.
>
> > Apparently, it can be run on a cluster (just as a python tool).
> > In python, you can do
> > from sage.all import *
> > (provided it knows about sage, e.g. when your python is just "sage -
> > python")
>
> > Hence it should also work with sage, if it works without it...
>
> > Well, this is mostly guessing on my side :-)
>
> This is exactly how I use sage from my scripts. mpi4py for IPC, and
> from sage.all import * to get hold of the computational algebra
> routines I need.
>
> // Mikael
>
>
>
>
>
> > > On Jan 22, 1:37 am, Dima Pasechnik <dimp...@gmail.com> wrote:
>
> > > > Hi Mikael,
> > > > I'd have looked into using Parallel Python 
> > > > (http://www.parallelpython.com/)
> > > > which is just a Python library.
> > > > If it worked with Sage, it would be a worthwhile addition to Sage
> > > > packages...
>
> > > > Lately there is an ongoing project to make Sage notebook well-
> > > > scalable, but I do not know
> > > > if parallel code execution came into consideration.
>
> > > > On Jan 21, 9:49 pm, Mikael Vejdemo Johansson <michiex...@gmail.com>
> > > > wrote:
>
> > > > > In the course of working on an idea for parallel and distributed
> > > > > Gröbner bases, I have an example implementation of the idea using Sage
> > > > > for the commutative algebra routines. This has been — mainly — very
> > > > > pleasant, with the ease of calling Sage from Python, and with the ease
> > > > > of using the included (optional) SQLAlchemy, MPI4Py and OpenMPI
> > > > > packages.
>
> > > > > However, I now find myself in the situation where I need to go to
> > > > > several computational nodes, and not only several cores on a single
> > > > > node. And I am getting some problems that I'd need advice for.
>
> > > > > Using OpenMPI across several nodes is easy. It will, given easy enough
> > > > > shell scripts and specification files, ssh to each node and launch
> > > > > processes there, and take care of all process enumeration and
> > > > > communication issues. However, especially when using the OpenMPI
> > > > > included with Sage, there is a bit of a chicken vs. egg problem. The
> > > > > shell created by ssh to a new node will not automatically be in a Sage
> > > > > shell environment; but the OpenMPI I'm using sits inside Sage. It
> > > > > doesn't seem like the »sage -sh« command necessarily takes an optional
> > > > > command to run afterwards — so I can't have OpenMPI do something like
> > > > > ssh nextnode 'sage -sh mpirun -np $NP $COMMAND'
>
> > > > > Looking through the mailing list archives, I have found one
> > > > > discussion, in which DSage was suggested for anyone _actually_ wanting
> > > > > to run Sage in a cluster context, and then a few years later, another
> > > > > discussion removing DSage from the system due to non-use. Is there
> > > > > _anything_ I can do to make my computation work at this point?

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