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? -- To post to this group, send an email to sage-devel@googlegroups.com To unsubscribe from this group, send an email to sage-devel+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sage-devel URL: http://www.sagemath.org
