you can pool 240*32 generators on the device, at any given
moment only 240 are executed. to compute the your performance
you would have to measure how long a single A5/1 computation takes
and multiply accordingly. Since you can get this number simply by
running the program, why bother?
240 cores should give you around 150million A5/1 per second at standard 600mhz.

> thank you .
> - so if my GPU says it has 240 Cores it means i can run 240*32 A5.1 
> generator any given moment of time ? how much does it take for one A5.
> 1 to finish ? generally depending on my GPU configuration and its 
> frequency how to compute my computation capability based on this code 
> ?
> 
> ---------- Forwarded message ----------
> From:  *Sascha Krissler*<[email protected]>
> Date: Thu, Sep 3, 2009 at 11:44 PM
> Subject: Re: [A51] basic facts
> To: [email protected]
> 
> > here are my initial questions :
> >
> > - how many A5.1 engines can be running at the same time on a
> > Streaming Core with compute capability of 1.2 and 1.3 ?
> 
> typical configuration is 1 block per MP and 256 threads per block
> resulting in 32threads per physical core.
> 
> > - where to download the result of "occupancy test" excel file for
> > this implementation of A5.1 ?
> 
> such a file does not exist.
> 
> > - how much GPU memory we need for optimal operations on GTX285+ ?
> 
> roughly 300kbyte. (32 bytes per chains being worked on times 30 
> blocks times 256 threads)
> + 10-20 kbytes for the lookup tables.
> 
> > - how to transfer data from GPU memory to main memory ? cudahostalloc
> 
> > ?
> 
> cudaMemcpyDeviceToHost
> 
> ________________________________________________________________
> 
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