Hi guys,

In the email chain below it's mentioned an "info database for Places", 
which would be eventually available at some point.

I'd like to know if you guys had already written something on that 
direction or if you guys have a spec for that.

Thanks :)

Richard Gomes
M: +44(77)9955-6813
http://tinyurl.com/frgomes
twitter: frgomes

JQuantLib is a library for Quantitative Finance written in Java.
http://www.jquantlib.org/
twitter: jquantlib

On 19/11/10 09:17, Richard Gomes wrote:
> Hi Dave,
>
> Yes... 8300 is old and not even listed as a supported CUDA platform, but
> it supports CUDA, in fact.
>
> It is
>     Multiprocessors x Core/MP = Cores : 1 (MP) x 8 (Cores/MP) = 8 (Cores)
>
> Well... if you need a guinea pig ... let me know and I run your tests in
> my old GPU.
>
> I plan to install 2 x 8800 GTX cards in my topology. Not sure if they
> will fit, etc, etc... but it will become an interesting environment to
> play. My wife has laptop with a 8600 GS (running Kubuntu) which
> eventually will participate... if got her permission :D
>
> Cheers :)
>
> Richard Gomes
> M: +44(77)9955-6813
> http://tinyurl.com/frgomes
> twitter: frgomes
>
> JQuantLib is a library for Quantitative Finance written in Java.
> http://www.jquantlib.org/
> twitter: jquantlib
>
> On 19/11/10 01:21, Dave Cunningham wrote:
>> In the case of my old GeForge 8300 board, they report:
>>
>>>
>>>          autoThreads = 1
>>>          autoBlocks  = 8
>>>
>>>
>> I've never heard of an 8300, I assume it has 2/16 of the MPs enabled?
>>
>> They should never return that, they should return threads as a multiple of
>> 64 and blocks as a multiple of 2.  It could be there is a bug, or that you
>> are executing the kernel on the host.
>>
>>
>>
>>
>>
>>> This is weird or a big and unprobable coincidence, but in
>>> x10-runtime/src/x10/x10/util/CUDAUtilities.x10, these values are
>>> hardcoded like this:
>>>
>>>     public static def autoBlocks()  : Int = 8;
>>>     public static def autoThreads() : Int = 1;
>>>
>>>
>> Those are the values for CPU execution.  They're low to prevent the number
>> of threads being ridiculous.
>>
>>
>>>
>>> Another question: how I could obtain other interesting parameters, like
>>> the maximum number of threads per block ? ( Do I really need to know
>>> what would be the maximum number of threads per block? )
>>>
>>>
>> That's not possible at the moment, it probably should be possible.  We would
>> probably expose it through a general purpose info database for places, with
>> all sorts of stuff available.   The key thing autoBlocks/autoThreads does is
>> it knows things about the kernel being executed, like the number of
>> registers and such.
>> ------------------------------------------------------------------------------
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>
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