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Modifying SURF code for better performance

I am new to Computer Vision world. I have implemented opencv SURF algorithm on PC and embedded boards. I am getting a decent fps output. I want to classify SURF algorithm according to performance on CPU, GPU, minHessian matrix and plot the output results for different boards. I already implemented it for CPU, GPU and different minHessian values. But i want to parallelize SURF code from inside to increase the performance. Anyone know how do i do that. I managed to find some interesting articles like

http://www.isaet.org/images/extraimages/P1215029.pdf http://recsi2012.mondragon.edu/es/programa/recsi2012_submission_82.pdf

In my code i am tracking a QR code. Please help me with this. Thanks

Modifying SURF code for better performance

I am new to Computer Vision world. I have implemented opencv SURF algorithm on PC and embedded boards. I am getting a decent fps output. I want to classify SURF algorithm according to performance on CPU, GPU, minHessian matrix and plot the output results for different boards. I already implemented it for CPU, GPU and different minHessian values. But i want to parallelize SURF code from inside to increase the performance. Anyone know how do i do that. I managed to find some interesting articles like

http://www.isaet.org/images/extraimages/P1215029.pdf http://www.isaet.org/images/extraimages/P1215029.pdf

http://recsi2012.mondragon.edu/es/programa/recsi2012_submission_82.pdf

In my code i am tracking a QR code. Please help me with this. Thanks