[firedrake] PDESoft 2014 slides

[David Ham]

On Saturday, July 12, 2014, Rathgeber, Florian <f.rathgeber10 at imperial.ac.uk>
wrote:

> On 12/07/14 08:06, David Ham wrote:
> >
> > Those look like interesting results.
> >
> > Do we have any idea why we are slow on CUDA on the RHS?
>
> The reason is that afaict the kernel uses too many resources: 57
> registers and 28.047K of shared memory. We therefore get a theoretical
> occupancy of 6.25% i.e. only 1/16 SMX units on the 680 can be used. That
> is up to 64 DP FMAs at half the clock speed of a Xeon core...
>
>
oK. that's a good analysis, make sure you give yourself time to give it.
It'll make the audience realise you really know what you are doing.


> > Do we have any indication of actual speed compared with peak flops or
> > bandwidth?
>
> I haven't been able to figure out how to drive the Nvidia profiler to
> record the required metrics, but we should be able to get those somehow.
>
> Florian
>
> > Regards,
> >
> > David
> >
> >
> >
> > On Friday, July 11, 2014, Rathgeber, Florian
> > <f.rathgeber10 at imperial.ac.uk <javascript:;> <mailto:
> f.rathgeber10 at imperial.ac.uk <javascript:;>>> wrote:
> >
> >     I have now added performance results for advection assembly (matrix +
> >     RHS). We can still claim (performance) portability to some degree
> across
> >     sequential, OpenMP and CUDA.
> >
> >     On 10/07/14 11:23, David Ham wrote:
> >     > I'm concerned that there are no performance results at all. Do we
> not
> >     > even have CPU results?
> >     >
> >     > On Wednesday, July 9, 2014, Rathgeber, Florian
> >     > <f.rathgeber10 at imperial.ac.uk <javascript:;> <javascript:;>
> >     <mailto:f.rathgeber10 at imperial.ac.uk <javascript:;>
> <javascript:;>>> wrote:
> >     >
> >     >     Draft slides for my 15min PDESoft talk on PyOP2 next week are
> at
> >     >     http://kynan.github.io/pdesoft2014
> >     >
> >     >     Any comments and suggestions much appreciated.
> >     >
> >     >     Florian
>
>

-- 
Dr David Ham
Departments of Mathematics and Computing
Imperial College London

http://www.imperial.ac.uk/people/david.ham
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