Can artificial intelligence (AI) create its own algorithms to speed up matrix multiplication, one of machine learning’s most fundamental tasks? Today, in a paper published in Nature, DeepMind unveiled ...

A simulation-based design in Scientific Reports presents an ultra-compact non-volatile photonic matrix-vector multiplication engine using mode division multiplexing and programmable GSST phase-change ...

If you start naively without any library that avoids the problem then memory access is the problem. Have a look at how much effort is needed to avoid the problem, for example with blocking algorithms.