FFT and interpolation with MatLab and CUDA question about expected performance of CUDA vs Matlab

Accelerated Computing CUDA CUDA Programming and Performance
1

Hi!

I am currently working on speeding up the post processing of some images and have been looking at CUDA for a while.
The code I have is extensive and is written in Matlab so it will take lots of effort to change it into C for CUDA.
I am getting the following time in seconds in Matlab for execution of critical bottlenecks of the algorithm

FFT: 0.00012299
Spline interpolation: 0.0021951

(for an array of 1024 elements)

Does anybody knows if I should get a considerable improvement if I use CUDA for this operations ? Is the 0.00012299 for FFT a time that can be considerably improved by CUDA?
I would like to know this since I would not like to implement everything in CUDA and not getting noticeable results
Thanks,

Pablo

PD:

Also…
I am doing Hilbert transform and the spline interpolation. Are these functions included in the math libraries of CUDA?
Thanks again!

2

Hi Pablo,

Not sure if you’ve seen Jacket yet, but just in case, I wanted to point you to our website (http://www.accelereyes.com). Jacket handles FFTs and interpolation, so it should be able to accomplish what you need.

Best,

John

3

Hi John!

Thank for your response. Unfortunately this option was discussed in the group but it was beyond our current budget.

Another question to everyone:

Are there interpolation libraries in CUDA or CUBLAS and CUFFT are the only ones? Is there an efficent way to implement cubic interpolation in CUDA?

Thanks,

Pablo