Articles Written in 2018

Faster Matrix Multiplications in Numpy

Matrix multiplications in NumPy are reasonably fast without the need for optimization. However, if every second counts, it is possible to significantly improve performance (even without a GPU).

Below are a collection of small tricks that can help with large (~4000x4000) matrix multiplications. I have used them to reduce inference time in a deep neural network from 24 seconds to less than one second. In fact, in one case, my optimized code on a CPU turned out to run faster than Tensorflow using a GPU (1 second vs 7 seconds).

Continue Reading (Published 21 January 2018)

Published 1 January 2018 by Benjamin Johnston.