Which is a quick way to parallelize element-wise multiplication of 2D NumPy arrays?

问题

I use a NumPy function einsum to perform element-wise multiplication of two 2D NumPy arrays and sum.

np.einsum('ij,ij',A,B)

Each of these array A, B are sized around 10000 x 10000. I notice this operation is the bottleneck in my code taking up ~85 % of the processing time. How do I quickly parallelize this operation?

来源：https://stackoverflow.com/questions/44888667/which-is-a-quick-way-to-parallelize-element-wise-multiplication-of-2d-numpy-arra