Adaptive Reliability API Reference

This document provides the complete API reference for adaptive reliability compiler intelligence features and frontier platform classes.

Compiler Intelligence Features (§68–§76)

§68. Approximate Computing Configurator

configure_approximation(equations, max_error_pct=5.0) Trades precision for energy by identifying variables that can tolerate reduced bit-widths or aggressive truncation.

§69. Energy Harvesting Modeler

model_energy_harvest(power_mw, harvester_type="solar", environment="indoor") Analyses the feasibility of running the compiled design on batteryless edge devices using ambient energy.

§70. Aging-Aware Timing Predictor

predict_aging(fmax_mhz, years=10, temperature_c=85.0) Predicts circuit degradation over time due to NBTI and HCI, generating derated timing bounds.

§71. DVFS Controller Generator

generate_dvfs_controller(module_name) Generates a dynamic voltage and frequency scaling (DVFS) state machine that scales performance based on network spike rate.

§72. Pareto Frontier Explorer

explore_pareto(equations) Sweeps compilation parameters to find the non-dominated set of configurations balancing power, area, and latency.

§73. Post-Quantum IP Protector

protect_ip_pqc(module_name, equations) Applies NIST-standardized post-quantum cryptography (CRYSTALS-Dilithium) to sign the generated IP.

§74. Statistical Fault Injector

run_fault_campaign(equations) Runs a statistical fault injection campaign to measure the Soft Error Rate (SER) and Silent Data Corruption (SDC) rate.

§75. Static Timing Closer

verify_timing_closure(equations, target_freq_mhz=250.0) Performs formal static timing analysis (STA) on the generated RTL to verify critical path delays.

§76. Telemetry Ingestor

ingest_telemetry(hw_data, twin_data, drift_threshold=0.05) Closes the loop between physical hardware and the compiler's digital twin by ingesting physical telemetry.

Frontier Hardware Platforms

The platform registry includes 4 speculative compute paradigms (8 profiles):

1. Thermodynamic (thermodynamic): Harnesses ambient thermal noise (kBT) for computing via thermal equilibration (extropic_epu, normal_cn101).
2. Probabilistic (probabilistic): Uses unstable nanomagnets (stochastic MTJ) to create fluctuating p-bits (purdue_pbit, tohoku_sot_pbit).
3. Polariton (polariton): Uses exciton-polariton Bose-Einstein condensates for ultrafast computation (marvell_polariton, stanford_polariton).
4. Metamaterial (metamaterial): Uses acoustic or optical metamaterials for passive spatial computing (mit_metamaterial, penn_acoustic_meta).

See the Compiler Intelligence Guide and Frontier Platforms Guide for detailed usage examples and physics properties.