Re: r3237 - in /branches/multi_processor: multi/mpi4py_processor.py relax -- March 20, 2007 - 16:01

On 3/21/07, Gary S. Thompson <garyt@xxxxxxxxxxxxxxx> wrote:
> Edward d'Auvergne wrote:
>
> > On 3/21/07, Gary S. Thompson <garyt@xxxxxxxxxxxxxxx> wrote:
> >
> >> Edward d'Auvergne wrote:
> >>
> >> > My personal experience with the coding of the grid computing code, I
> >> > would assume that there are a number of differences.  For example the
> >> > algorithm relax currently uses to handle computers of different
> >> > speeds.
> >>
> >> This should not make a difference you just divide more finely and weight
> >> the size of the job by computer (you can even send off the finer grained
> >> task one at a time and then send new ones as tasks are completed... the
> >> same way as you do in the thread code)
> >
> >
> > The model-free problem places a lower bound on the minimum granularity
> > size.  That limit is the optimisation instance.
>
> so an optimisation instance is one of the minimsation instances from  here?

Yep.


> There are 4 different classes of model-free model supported by relax.
> These are found by the 'determine_param_set_type()' method and are
> handled differently by the 'minimise()' method and the 'maths_fns.mf'
> module.  The four types are:
>    'mf' - one model-free model.
>    'local_tm' - one model-free model together with the local tm parameter.
>    'diff' - solely the diffusion tensor (the model-free model
> parameters are held constant).
>    'all' - all model-free models of all spin systems together with
> the Brownian rotational diffusion parameters.
>
> The minimise() method loops over the minimisation instances which for
> the four models total n, n, 1, and 1 instances respectively.

Bye,

Edward