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Rapid GPU Accelerated Blocks for GNU Radio

GNU Radio Theano block library!

This OOT module contains a number of GNU Radio blocks which leverage the theano library to accelerate signal processing code on graphcis cards typically using Cuda as a backend.

Enjoy! Tim O'Shea [email protected]

Current Blocks:

Signal Source (sinusoid complex64)
Fading Model (single tap complex64)
FIR Filter (float32)
FFT (complex64)

Information:

For the latest verison please see https://github.com/osh/gr-theano

For more information on the theano project please see https://github.com/Theano/Theano http://deeplearning.net/software/theano/ http://nbviewer.ipython.org/github/craffel/theano-tutorial/blob/master/Theano%20Tutorial.ipynb https://archive.org/details/Scipy2010-JamesBergstra-TransparentGpuComputingWithTheano

Howto build:

1. Install GNU Radio 3.7+
2. Install Theano
    pip install --upgrade --no-deps git+git://github.com/Theano/Theano.git
3. Install gr-threano as with any GNU Radio OOT Module