I’m thinking about creating OpenCL based design for PYNQ.
I was wondering if it is possible to run multiple accelerators in workgroups like in C++
Q.enqueueNDRangeKernel(K, NullRange, NDRange(1024), NDRange(128));
Can you set number of used accelelators in PYNQ?
I only saw something like this in documentation
ol.my_kernel.call(input_buf, output_buf) ol.my_kernel.start(input_buf, output_buf)
But this is calling only one kernel at the time.
Is it possible to start multiple kernels by setting NDRange or something like that in Python?
In the end I would like to generate for example five computation kernels and run some computations on them. For example run mul_add operation on one compute unit, then add another compute unit and check speed etc… is this possible with Pynq?
Thanks for information