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Re: CUDA benchmarking

by Evan Lezar :: Rate this Message:

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Hi

I have split the various steps in the GPU-based calculation process and have up until now simply printed the measured times for the various stages out to the screen using k3d::log().

What are my options with respect to gaining access to those times from a regression test?  I could define node properties, but this does not strike me as the best solution.

Thanks in advance
Evan

On Mon, May 5, 2008 at 4:32 AM, Timothy M. Shead <tshead@...> wrote:
Bart Janssens wrote:
> On 5/3/08, JoaquĆ­n Duo <hoakoduo@...> wrote:
>  > This way the user could define a GPU pipeline (data) with a pipeline of K-3D
>
>> modifiers. And at any point of the pipeline we could connect that data to a
>> "GPUPipelineEvaluator" plugin that gives the output through a property.
>> What about this idea?
>>
>
> It's a good idea! Having a CUDAtoK3D or K3DtoCUDA node whenver a
> conversion is required would not require any change to the SDK.
> However, we should probably wait for some benchmarking results before
> we fix the design.
>
The approach of using a "CUDABitmap / CUDAMesh" data type to allow the
pipeline to work normally is a clever one, albeit with a significant
downside: it requires the user to explicitly create a "CUDA-aware"
pipeline.  Each of the three alternative approaches has its
pros-and-cons.  Let's ensure that we have some significant examples to
benchmark before making recommendations.  At a minimum we need to see
some mesh computations, both embarassingly-parallel and not.

Cheers,
Tim


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