The Silent Hazard in GPU Programming: Why Memory Consistency Matters on Hopper

GPU memory reordering is a silent killer: code that looks correct can fail in unexpected ways when thousands of threads access shared memory. This guide explains Hopper's memory consistency model through a concrete producer-consumer bug, then shows how release and acquire fences restore correctness—essential knowledge for serious GPU programming.