Matrix Multiplications on GPUs Run Faster When Given "Predictable" Data

A new finding shows that matrix multiplications on GPUs execute significantly faster when the input data has predictable, regular patterns compared to random data. This performance difference arises from how GPUs handle memory access patterns and cache behavior, with structured data enabling more efficient parallel processing.