← All projectsGitHub
Task-specific AI accelerators

Does the gated weight-stationary engine's verdict depend on how many lanes it has?

research/accel-gatedlanes

The gated weight-stationary engine's lane count swept from 2 to 16 (32 ran out of synthesis memory): bit-exact, clock-pin energy 1.01 to 1.07x OS with a gate per set at every P, area 1.6 to 1.9x OS at B = 4 and flat from P = 4, so the verdict depends on the batch, not the lanes (stylised).

3 tests

What it found

Sweeps the lane count P (2 to 16, with a failed attempt at 32) of the four engine modes from accel-gatedrtl on the 64×70 keyword-spotting layer, in RTL simulation and Yosys synthesis to SKY130 HD. All 29 points are bit-exact and write the same accumulator bits in every mode. Accumulator clock-pin energy stays at B× OS for ungated WS and at 1.01 to 1.07× with a gate per set, independent of P; gated WS stays 1.6 to 1.9× OS area at B = 4 (2.9 to 3.0× at B = 8), flat from P = 4. So the earlier conclusion (cheap to clock, not small) is a property of the batch, not the lane count. Stylised: synthesis only, clock-pin energy only; Yosys exceeded 7 GB at P = 32, so wider engines are not covered.

A figure from its own output

Figure produced by research/accel-gatedlanes: gatedlanes
accel-gatedlanes/experiments/gatedlanes.png, written by the project's own experiment code.

Paper, code and results

More in Task-specific AI accelerators

All 40 Task-specific AI accelerators projects →

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.