Author

A. ShahirM

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Preprint Aug 2026

How Weight Encoding Affects Language Model Placement and Performance on the Apple Neural Engine

This work combines compiler device plans, synchronized memory-controller measurements, and compute-unit exclusion controls for a fixed single-token forward workload and establishes encoding-dependent placement in the measured deployment stack and shows that compression comparisons require joint measurement of backend s...

A. ShahirM · 0 citations

#small language model Preprint Aug 2026

What actually runs: a measurement study of language model placement and decode speed on the Apple Neural Engine

This work sweeps a 64-shape matrix of LLM primitives that varies how a computation is expressed while holding what it computes fixed, recording per-operation device support and finds that placement is a property of how a computation is expressed, not of what it computes.

A. ShahirM · 0 citations