Apple Neural Engine Reverse-Engineered Backprop Workbench

A15/M1 ANE Hardware Reverse-Engineered
CLOCK CYCLE: 0
LATENCY: 0.0 µs
STATE: IDLE
SILICON ARCHITECTURE & SRAM TILE MAPPING
PRECISION: FP16 Engine

Simulating Direct On-Chip Backpropagation on the Neural Engine

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Standard neural engine pipelines only expose forward inference, offloading training passes to GPU compute across narrow bus channels. Selecting hacked backprop configures private task dispatch registers, directing matrix compute units to calculate reverse gradients directly in silicon. Stepping the clock reveals high local tile pinning. During backward calculations, activations remain locked in on-chip SRAM, peaking bandwidth near two hundred gigabytes per second. If batch sizes push required memory past configured capacity, the pipeline drops to throttled DRAM speeds and bus stall penalties accumulate immediately.

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