Dude, parallelization is exactly how non-trivial neural networks are trained since the beginning. Parallel processing as in SIMD architecture is what makes Dee

Dude, parallelization is exactly how non-trivial neural networks are trained since the beginning. Parallel processing as in SIMD architecture is what makes Deep Learning possible now. Parallel computing as in stacking graphics card is how literally everything is done everywhere- from big tech companies to not-so-well-funded data science departments in unknown unis. You are so so off.