Hi Eduemon,
You may want to take a look at gr-cuda which takes advantage of the "custom buffers" feature of GNU Radio introduced in GR 3.10:
https://github.com/gnuradio/gr-cuda
https://github.com/gnuradio/gr-cuda
This is a bare OOT but would be a good place to start adding blocks in or fork off into your own OOT. There is a multiply_const block in there that is GPU accelerated with CUDA.
Josh
On Wed, Jun 4, 2025 at 7:42 AM edwar ewer <eduatgugel@gmail.com> wrote:
Dear GNU Radio,Currently I am trying to create a GPU-based multiply conjugate block in GNU Radio. The purpose is the same as the regular GNU Radio multiply conjugate block, but I want to optimize the process by doing it in GPU cores. Previously, I was thinking to follow this tutorial to make it.
This tutorial describes how to create a custom C++ block and use it in a flowgraph: Create a new C++ block using gr_modtool; Modify the C++ .h and .cc code so the block will functionHowever, I believe that tutorial is meant to develop a CPU-based GNU Radio block. I am trying to dig the internet but could not find any clear tutorial how to develop GPU-based GNU Radio block. Could you help and enlighten with regards to the procedure of developing GPU-based GNU Radio block?Thank you in advance.
Best regards,Eduemon
No comments:
Post a Comment