Hey list, I have created an OpenCL block that allows a user to interface with an OpenCL compatible device, like a GPU. This block handles most of the complications of using the OpenCL API. All the user has to do is feed the block a .cl file with the kernel source and click run!
This block makes use of GRAS's new buffer model and buffer API so memory allocated by OpenCL can be directly written by upstream blocks and directly read by downstream blocks. This translates to DMAs over the PICe bus for most graphics cards, with no unnecessary memcpys between blocks. Now I should note that signal processing on GPUs is not something that is inherently faster vs a GPP implementation. Algorithms that are highly parallel and "expensive" tend to be better candidates. I am excited to see what interesting kernels users can come up with! For more details, install instructions, examples, see: https://github.com/guruofquality/gras/wiki/Opencl -josh _______________________________________________ Discuss-gnuradio mailing list Discuss-gnuradio@gnu.org https://lists.gnu.org/mailman/listinfo/discuss-gnuradio
