On Tue, 3 Apr 2007, Wayne Boucher wrote:
> We could do with an FAQ-like documentation section which answers these
> basic questions for beginners. We're going to hopefully (somehow) get
> the community involved with this (because otherwise we would do nothing
> but documentation!).
I think this would be a good idea. In this case I think the problem is
probably that user thinks "I need to pick my 3Ds" but can't find "How to
pick 3Ds" in the documentation/tutorial and so so doesn't realise that
they actually want the function that allows them to e.g. "pick and assign
resonances to their 3Ds based on an initialised 2D". New users are
strongly encouraged to post their questions/frustrations to the list
rather than be put off. Maybe some of the more experienced among us could
start building the FAQ on the web site - how's about
http://www.ccpn.ac.uk/ccpn/software/ccpnmr-analysis/faq/how-to-pick-peaks-in-a-3d-spectrum
for starters?
>> On a related matter, that is inspired in part by the recent discussion of
>> OSX implementation performance issues... Is there a recommended hardware set
>> for CCPN software on PC/linux platforms? Where are the real bottlenecks?
>> Is it all in the graphics card?
There's almost too many variables to take into account.
CPU: We get decent performance on all our machines with a Pentium IV 2GHz
or better CPU. A hyperthreading/dual/dual core CPU can help because the
python process and the X server can run on separate CPUs and so they don't
have to wait for each other as much.
RAM: By using the -m switch you can specify a larger contour cache at
runtime. The larger the cache you have, the less you have to recompute
contours on the fly and the smoother your experience. 1Gb RAM is probably
towards the low end of what you would want for regular analysis use, more
is better.
Graphics card: People are using both ATI and NVidia graphics cards running
the vendors' hardware accelerated OpenGL with noticeable performance
enhancements over Mesa (Does anyone have any experience with Intel/Matrox
etc graphics adapters?). It's probably worth avoiding "integrated"
graphics cards as they poach RAM from the CPU.
--
Dr. Brian O. Smith ---------------------- B Smith at bio gla ac uk
Division of Biochemistry & Molecular Biology,
Institute Biomedical & Life Sciences,
Joseph Black Building, University of Glasgow, Glasgow G12 8QQ, UK.
Tel: 0141 330 5167/6459/3089 Fax: 0141 330 8640
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