Forum > GPU crunching

GTX 460 superclocked

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Frizz:

--- Quote from: Jason G on 10 Aug 2010, 05:43:28 pm ---It's easier just to look at the stderr task output after the task reports (and the servers are up) though. 

--- End quote ---

Yeah bummer ... now since the servers are offline I'm starting to poke around :-)

Miep:

--- Quote from: Frizz23 on 10 Aug 2010, 05:49:06 pm ---
--- Quote from: Jason G on 10 Aug 2010, 05:43:28 pm ---It's easier just to look at the stderr task output after the task reports (and the servers are up) though. 

--- End quote ---

Yeah bummer ... now since the servers are offline I'm starting to poke around :-)

--- End quote ---

There's always client_state to rummage around for stderr :) (after the task finished. before that you'll have to poke in the slot directories)

Josef W. Segur:

--- Quote from: Frizz23 on 10 Aug 2010, 11:46:57 am ---I am planning to build a system with :
1x GT 240
1x GTX 460

How do I have to modify my app_info.xml to run those two cards with x32f?

The GTX 460 can run more than one task in parallel, right? Was it 3? How do I have to configure this?
--- End quote ---

I see you have answers for both questions in isolation, but nobody has pointed out a conflict. AFAIK, if you have a GT 240 in the system it won't be practical to run more than one task at a time on the GTX 460. It's a shortcoming in BOINC, there's no way to set up a separate app_version for each card.
                                                                                      Joe

Raistmer:

--- Quote from: Josef W. Segur on 10 Aug 2010, 07:19:15 pm ---It's a shortcoming in BOINC, there's no way to set up a separate app_version for each card.
                                                                                      Joe

--- End quote ---

What if one app version uses fermi plan class and another one - only cuda23 ?
Will cuda23 tasks be scheduled on both GPUs ?

[And most important - if fermi tasks will be scheduled only on 460 GPU, then it can do 3 tasks at once at least sometimes while 240 will do one task at once always]

Richard Haselgrove:
I'm not certain, but I'm fairly sure that <plan_class> isn't used at the client scheduler level for determining device allocation.

That is, <plan_class> cuda23 --> device 1
<plan_class> cuda_fermi --> device 0 ?

I don't think so.

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