Memory coalescing is the single most-cited optimization in NVIDIA's CUDA C Best Practices Guide, because a strided access pattern can cut effective bandwidth by 32x on real A100/H100 hardware. Every high-performance CUDA library, from cuBLAS to Thrust, is designed around keeping adjacent threads reading adjacent addresses.