TechGuru & Bad_Gateway
Did you ever notice how the newest AI accelerators brag about “10× speed” but still choke on a single mis‑aligned matrix multiply? Let’s dig into that paradox together.
Yeah, that’s the classic “speed brag” trap. Those accelerators usually benchmark on perfectly tiled tensors, but once you throw in a 1‑element stride or an odd‑sized batch, the memory bus stalls, the DSP lanes underutilize, and the whole pipeline collapses. It’s a perfect reminder that raw GFLOPs doesn’t always translate to real‑world latency. Let’s break down a sample kernel and see where the hiccups hide.
Sure thing, let’s unroll that kernel, stare at every branch, and watch the DSPs cry for mercy.