Main huge advantage for c1060 is it operate probably with ECC memory
and there is no errors in brute force application and in real environments
is realy about 8-10 time faster especially in pgp files and AES. Especcialy this type of memory
is very important when low level programing applications without software error
corection is use (I use in work dedicated software for auditing coded frequency
hoppping radio communication devices when high computing power is needed
for wideband FFT detecting software)
The second test in my work is test the GTX295 set (1card) and compare
it to C1070 (new device)
and the C1070 is about 2-3 times faster with Elcomsoft software in PGP Files.
:-) In home use there is another problem with much power consumption with this devices
working 24/7 with full load.
Dnia 22-01-2010 o godz. 18:33 p q napisał(a):
wrong .Tesla C1060 offers 240 core operating at 1300 mhz eachGTX260 192 core operating at 1200 mhz eachthere is a huge different , although i'd prefer GTX 285 or even GTX 295 is better
---------- Forwarded message ----------
From: sascha <[email protected]>
Date: Fri, Jan 22, 2010 at 7:50 PM
Subject: Re: [A51] NVIDIA TESLA C1060
To: [email protected]
this is not true. the 260 is about as fast as the c1060.
you only buy a tesla because of the bigger RAM (irrelevant for
brute forcers), better drivers (irrelevant), somehow higher
quality chips and more testing done (largely irrelevant to bruteforcing).
for the a5/1 table generation an error rate of 1% is bearable,
and i have not seen my *overclocked* gtx260 make a mistake in
the last year during numerous debug sessions.
On Fri, Jan 22, 2010 at 04:57:12PM +0100, Jakub wrote:
> I write about this because brute force password breaking
> for rar archives and pgp encrypted files with recovery
> software when c1060 is used is about 8-10 time faster then
> using gtx260, and sometimes on Ebay is pssible to buy it
> for 1000-1200USD
>
>
> Dnia 22-01-2010 o godz. 15:25 Mark Janssen napisał(a):
> > 2010/1/22 Jakub <[email protected]>:
> > > Is it possible to use Nvidia Tesla C1060 device for computation tables ?
> >
> > Since it has CUDA support, yes. I doubt it would be more
> > cost-efficient than simply using graphics cards, though. Within the
> > prices I found you could buy at least 10 regular high-end cards.
>
> --
> Pozdrawiam
> jakub, [email protected]
>
--
Pozdrawiam
jakub, [email protected]
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