Benchmarking NIST ML-KEM on 32-Bit Automotive Microcontrollers

A rigorous empirical evaluation of CPU cycles, stack consumption, and power draw for post-quantum algorithms on ARM Cortex-M7 and Cortex-R5.

Stack Memory Constraints

Careful in-place polynomial transforms reduce temporary stack allocation from 12 KB down to less than 2.5 KB.

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