If Helmut's code is not made for SLI, as he says, the only best option
is to go for the fastest gamer's board.
Or to wait for the Nvidia to give prof. Dersch a Fermi Processor to code with!!!
;-P
Fermi boards (Tesla successors) are computational only pcixpress 16x boards...
Much like an IBM blade system. They are kind of video boards without
video outs, only giving you the cores to make calculations.
:-)
2010/3/18 fanotec <#removed#>:
> I read that the total memory of the SLI system is same as individual card. Data are duplicated in each card. So 2 GTX 275 has double cuda cores while having same amount of ram as one GTX 275.
> Now the question is what is more important, cuda cores or amount of gpu ram.
> I can't find gtx 275/285/295 in the market now. I am waiting for the new GTX to be out soon.
>
>
> Nick
>
>
>
> --- In #removed#, "hd_de_2000" <der@...> wrote:
>>
>>
>>
>>
>>
>> --- In #removed#, luca vascon <luca.vascon@> wrote:
>> >
>> > As I was telling before, a double or triple gtx 275 in SLI will be
>> > faster and cheaper than other solutions.
>> > Core number is the key factor, more than memory amount or card clock.
>> > Once you tell the driver cards are in SLI, they are actually seen as
>> > one single card
>>
>> Sorry, this is not true. Some CUDA-applications may allow you to
>> combine cards but PTStitcherNG only uses one (the fastest card) no matter what you set in the driver setup. And even if PTStitcherNG some day supports several cards it will still not be the same as having one "big" card: PTStitcherNG uses a lot of gpu-memory, and memory from one card cannot be accessed fast from another card, which means you have to use (slower) mainboard ram.
>>
>> Regards
>>
>> Helmut Dersch
>>
>
>
>
>
> ------------------------------------
>
> --
>
>
>
>
--
Luca Vascon.
www.canalview.it
www.officinepanottiche.com
------------------------------------
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