Interesting. I'm guessing it's alright to optimize the different models at the
same time on different CPUs since models II-V can be done in any order. Is
there a way to specify use of another CPU on a parallel processor machine, or
should I just run relax on other machines?

Tyler


Quoting Edward d'Auvergne <[EMAIL PROTECTED]>:

> Hi,
>
> 14 rounds of that length is quite normal.  See Seb's post at
> https://mail.gna.org/public/relax-users/2006-11/msg00015.html for
> typical details.  Actually, all the posts in the thread starting at
> https://mail.gna.org/public/relax-users/2006-11/msg00014.html could be
> useful.  You can make this as fast as Art Palmer's Modelfree program
> (http://cpmcnet.columbia.edu/dept/gsas/biochem/labs/palmer/software/modelfree.html),
> but I can also modify Modelfree to be almost as slow as relax.  relax
> will always be a little slower than Modelfree as the model-free code
> is in numpy which is slower than Modelfree's FORTRAN.  Converting this
> relax code will speed relax up a bit.  But, anyway, the major timing
> difference you see if running the 2 programs on default settings is
> due to an absolutely massive difference in optimization precision.
> For details please see d'Auvergne, E. J. and Gooley, P. R. 2008a
> (http://www.nmr-relax.com/refs.html).
>
> Regards,
>
> Edward
>
>
> On Fri, Oct 31, 2008 at 5:47 PM, Tyler Reddy <[EMAIL PROTECTED]> wrote:
>> I'm on the 14th round of 'prolate' optimization at several hours per 
>> round. I
>> guess I'll have to try and get errors a different way as we 
>> discussed for this
>> to be reasonable in relax.
>>
>> Tyler
>>
>>
>>
>> Quoting Edward d'Auvergne <[EMAIL PROTECTED]>:
>>
>>> Hi,
>>>
>>> You'll need to update using:
>>>
>>> $ svn up
>>>
>>> then install as root/administrator by typing (assuming python is
>>> installed as root):
>>>
>>> $ python setup.py install
>>>
>>> in the minfx base directory.  Then the crash shouldn't happen.  If it
>>> does still have problems, it would be worth reporting it to the minfx
>>> mailing lists (https://gna.org/mail/?group=minfx).  A bug report for
>>> minfx can be submitted at
>>> https://gna.org/bugs/?func=additem&group=minfx.
>>>
>>> As for this taking a long time to optimise, that is because of the
>>> convoluted, very tight optimisation space.  You can decrease the
>>> max_iter value from 1e7 in the minimise() user function at the start
>>> to to maybe 1e5, but this should not be done at the end of the
>>> analysis.  I would say though that all these problems will go away
>>> with a better error analysis in the R2 curve-fitting.
>>>
>>> Regards,
>>>
>>> Edward
>>>
>>>
>>>
>>> On Mon, Oct 27, 2008 at 12:48 AM, Tyler Reddy <[EMAIL PROTECTED]> wrote:
>>>> I used subversion to update minfx, but I'm still having the problem
>>>> (unless I
>>>> need to delete the old minfx, or does the nested update 
>>>> automatically 'take
>>>> over' in this case?).
>>>>
>>>> The calculation certainly goes a lot longer now than it did before, but
>>>> at k=312
>>>> it crashes out with the same traceback. Another possibility is that
>>>> I have to
>>>> delete all the local_tm and sphere folders and just start from scratch
>>>> with the
>>>> new minfx, though I'm not sure that makes sense.
>>>>
>>>> Tyler
>>>>
>>>>
>>>> Quoting Edward d'Auvergne <[EMAIL PROTECTED]>:
>>>>
>>>>> Right, I've fixed the bug in the minfx repository.  It will take me a
>>>>> while to release minfx 1.0.2 but using subversion you can get the
>>>>> changes immediately.  Note that as this space is so warped,
>>>>> optimisation of this model will take a long, long time!
>>>>>
>>>>> Regards,
>>>>>
>>>>> Edward
>>>>>
>>>>>
>>>>> On Fri, Oct 24, 2008 at 10:40 PM, Edward d Auvergne
>>>>> <[EMAIL PROTECTED]> wrote:
>>>>>>
>>>>>> Update of bug #12499 (project relax):
>>>>>>
>>>>>>                  Status:               Confirmed => Fixed
>>>>>>             Open/Closed:                    Open => Closed
>>>>>>
>>>>>>    _______________________________________________________
>>>>>>
>>>>>> Follow-up Comment #5:
>>>>>>
>>>>>> This problem has been fixed in the minfx project
>>>>>> (https://gna.org/projects/minfx/), in the bug report
>>>>>> https://gna.org/bugs/?12501.
>>>>>>
>>>>>>    _______________________________________________________
>>>>>>
>>>>>> Reply to this item at:
>>>>>>
>>>>>>  <http://gna.org/bugs/?12499>
>>>>>>
>>>>>> _______________________________________________
>>>>>>  Message sent via/by Gna!
>>>>>>  http://gna.org/
>>>>>>
>>>>>>
>>>>>
>>>>
>>>>
>>>>
>>>>
>>>> _______________________________________________
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>>>
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>>
>>
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