How to use mix link Multi-CPU of parallel computing in chainer v2.1.0

[machanic]

I am sorry I directly put the question here and also I put it in stackoverflow:
https://stackoverflow.com/questions/46901992/how-to-use-mix-link-multi-cpu-of-parallel-computing-in-chainer-v2-1-0
My paper submit deadline is 11.08, which is urgent situation. I am in hurry. so please forgive me to put question here.
In my research . I wrote 2 layers in neural network, the bottom first layer is RNN which runs on GPU, the top second layer is CPU(the algorithm model nature is more suited to CPU), I implemented it in CPU in chainer self-defined Link.

But, the CPU layer is slow , I can't wait for deadline of my paper submit. So I want to use parallel computing of this layer.

What is the best practice and fast way to implement parallel this link?

[iwiwi]

Our naive communicator can be used for models reside in CPUs. It is not tested for models using both CPUs and GPUs, but I think it will work. Please consult with our tutorial and MNIST example. Thanks.