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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