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rahul_modi

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04-06-2012
08:24 AM

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Separable convolution

Hi,

I need to know if the current implementation of multi-dimensional convolution allows convolution by seperability (for faster computation), if the input kernel is separable (http://www.dspguide.com/ch24/3.htm).I know I can implement this myself using repeated application of one-dimensional convolution, but this is just to avoid reinventing the wheel in case MKL already offers such a method.

Thanks,

Rahul Modi

1 Solution

Victor_Gladkikh

New Contributor I

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04-09-2012
08:28 PM

148 Views

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Victor_Gladkikh

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04-09-2012
12:49 AM

148 Views

rahul_modi

Beginner

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04-09-2012
05:53 AM

148 Views

Thanks for replying back. I am aware of MKL allowing two modes for convolution and as of nowI am using the FFT method. My question is more toward a specific case, of separable kernels used for convolution. (http://blogs.mathworks.com/steve/2006/10/04/separable-convolution/). I need to know if MKL incorporates any such optimization for N-D convolutions.

Thanks,

Rahul modi.

Victor_Gladkikh

New Contributor I

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04-09-2012
08:28 PM

149 Views

rahul_modi

Beginner

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04-09-2012
08:31 PM

148 Views

Thanks Victor. That helps.

-Rahul

-Rahul

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For more complete information about compiler optimizations, see our Optimization Notice.