Thanks for directing me. The bottleneck appears to be queries to a MySQL database made via SQLalchemy. I will need to make many complex queries, then do some simple statistical work on the results. But even the first query is taking a very long time. Any guidance you can give is greatly appreciated.
Dan On Dec 19, 8:27 am, mhampton <hampto...@gmail.com> wrote: > Can you give a little more detail about what you are doing? Do you > have an idea as to what the main bottleneck is in your computation? > > Cheers, > Marshall Hampton > > On Dec 18, 2:52 pm, Dan <daniel.mye...@gmail.com> wrote: > > > I have been using Sage for a fairly intense computational biology > > project. I have been very pleased with the software, but when it was > > finely time to run my computations I learned that my hardware was > > grossly inadequate. I have since gained access to a computer cluster > > (256 G5 xserves) that seems adequate to handle my need, but the > > cluster manager asked about the ability of Sage to be distributed > > across processors. I am writing to possibly get answers for him. The > > manager and I reviewed the information about DSage, but questions > > remain. Specifically, is Sage (or the modules I am using within Sage: > > R, Numpy, SQLalchemy) capable of being "fully distributed", or is the > > grid computing (i.e. "coarse distribution"?) the only option. > > > If not, is there an alternative that can be "fully distributed"? --~--~---------~--~----~------------~-------~--~----~ To post to this group, send email to sage-devel@googlegroups.com To unsubscribe from this group, send email to sage-devel-unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sage-devel URLs: http://www.sagemath.org -~----------~----~----~----~------~----~------~--~---
