First that would require adapting the deep learning libraries (e.g. theano, torch and Caffe) to use it efficiently. Those libraries have optimal CUDA kernels fo

First that would require adapting the deep learning libraries (e.g. theano, torch and Caffe) to use it efficiently. Those libraries have optimal CUDA kernels for efficient GEMM, spatial pooling and FFT convolution operations that would need to be rewritten to leverage the capacity of a Xeon Phi chip.