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Offline navigation is a lifeline for travelers, adventurers, and everyday commuters. We demand speed, accuracy, and the flexibility to tailor routes to our specific needs. For years, OsmAnd has championed powerful, feature-rich offline maps that fit in your pocket. But as maps grew more detailed and user demands for complex routing increased, our trusty A* algorithm, despite its flexibility, started hitting a performance wall. How could we deliver a 100x speed boost without bloating map sizes or sacrificing the deep customization our users love?
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How often does the "slow path" actually trigger? With 32 TLB entries covering 128 KB, Intel claimed a 98% hit rate for typical workloads of the era. That sounds impressive, but a 2% miss rate means a page walk every 50 memory accesses -- still quite frequent. So the 386 overlaps page walks with normal instruction execution wherever possible. A dedicated hardware state machine performs each walk: