Dear Rongliang,
> I am wondering regardless the performance, which GPU may give us more
>reliable results for Amber? Tesla or GTX? I just heard from some friends
>that they prefer Tesla which is also more expensive than GTX. And they
>said the results from Tesla is more close to CPU performance.
This is somewhat of a difficult question to answer given you don't really
define reliability properly. The answer you want, or the one you want to
advertise, really depends on which department of a company / university /
lab you work in.
If you work in new age marketing then you care most about the color GREEN.
In this case what is most important is RELIABILITY per WATT. In which case
the Tesla card is better.
Now, if you work in accounting and finance then you care more about the
color RED. In this case the more important metric is RELIABILITY per
DOLLAR in which case the GTX card easily wins.
If you work for a large government lab then you probably care more about
the color ORANGE. In this case you believe that ECC is the most important
metric (to be strictly correct you believe that ECC backed FLOPINESS is
the most important metric) in which case the correct measure is
reliability in terms of ECC ERRORS per unit time. In this case the GTX or
TESLA card wins depending on how you choose to handle divisions by zero in
your metrics.
If you are a PI at a cash strapped university in California that spends
indirect money on who knows what and therefore believes it also has the
right to squeeze the stone of research grants to get even more blood out
by having recharge for everything including computers in terms of $'s per
rack unit of space, regardless of what is actually in those rack units,
then your favorite color by decree is a very specific Navy Blue and you
care most about RELIABILITY per UNIT of space in which case the Tesla PCI
modules are the best option.
If you are me, whose favorite color is BLUE, then you probably care more
about how much science you can get done in which case you care more about
RELIABILITY per NANOSECOND of simulation in which case the high end GTX
cards do better.
If instead by your question you simply meant scientific reliability of the
results, rather than physical reliability of the hardware, then I am sorry
for overcomplicating things. In this case there is absolutely no
difference. Both cards do the exact same calculations (actually the exact
same silicon) and solve the exact same mathematical expressions in the
exact same way.
Hope this helps.
All the best
Ross
/\
\/
|\oss Walker
---------------------------------------------------------
| Assistant Research Professor |
| San Diego Supercomputer Center |
| Adjunct Assistant Professor |
| Dept. of Chemistry and Biochemistry |
| University of California San Diego |
| NVIDIA Fellow |
|
http://www.rosswalker.co.uk |
http://www.wmd-lab.org |
| Tel: +1 858 822 0854 | EMail:- ross.rosswalker.co.uk |
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Received on Tue Sep 18 2012 - 09:30:03 PDT
