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Do a dual-MAC energy loop and a divide-free threshold make the Cortex-M4 voice gate cheaper?

research/ambient-gatesimd

Do a dual-MAC energy loop and a divide-free threshold make the Cortex-M4 voice gate cheaper: 17-37% fewer instructions with the block-minimum floor, slower without it, RAM doubled; decisions unchanged (emulator counts, synthetic audio)

3 tests

What it found

A stylised follow-up to ambient-gatem4. With the block-minimum floor the SMLALD energy loop cuts executed instructions per frame by 17% at -Os and 37% at -O2, but without it the gate gets slower (64-bit ring entries), RAM doubles and code grows by about 60%. A divide-free sum-domain threshold matched the original decision on all 36,000 frames per configuration and removes the only library call; the divide itself is not counted, so its saving is unmeasured. Emulator instruction counts on synthetic audio, not cycles and not hardware.

A figure from its own output

Figure produced by research/ambient-gatesimd: instructions
ambient-gatesimd/experiments/instructions.png, written by the project's own experiment code.

Paper, code and results

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Other research topics

Proper scoring & elicitation28Effort & peer prediction9Verification games & slashing19Detection & tolerances14Markets as routers13Prediction-market design9Paying contributors8Decentralised training systems23Digital twins & sim-to-real164LLM chip design loops40Robot manufacturing loops53Ambient AI assistant46Self-replicating manufacturing34Simulation-first design64Engineered clothing45Task-specific AI accelerators40Algorithmic chip-design loops42Open-source purpose-built robots44The software-engineering loop43Adversarial human imitation41Open-source residential construction41Autonomous multi-angle capture34Sensing, imaging and 3D31Energy supply and dense energy storage39Robot societies among people31Agentic co-design of low-cost robots27Laundry-hanging robots25Machine learning on qualitative data23Robots on the building site27Civilizations & group psychology1History & human sciences1

Produced with AI assistance (Claude). Results are from the code in this repository and are simulated or stylised unless the abstract says otherwise; nothing here implies affiliation with or endorsement by any lab, researcher or company cited. MIT licensed.