Hello!
I’m currently working on language recognition and I wanted to implement a Gaussian mixture model which can run parallelly on multiple GPUs(I have 2 GPU’s of 11 Gb each) . As of now, I have implemented a naive GMM comprising normal def functions which does everything on CPU without any parallelization and optimization(Like I don’t need to store the grads of tensors as well) .I wanted to get an idea or some suggestions about how I should go ahead with Parallelization implementation of GMM!
Thanks!