Abstract

This disclosure describes CVGTC‑3.1, a fully buildable and testable open‑hardware research engine for early power‑grid analysis in system‑on‑chip (SoC) design. The system integrates:

  • A place‑and‑route‑independent DC IR‑drop solver

  • A dynamic RLC droop simulator

  • An electromigration lifetime estimator

  • A machine‑learning IR‑prediction model

  • A physical PDN coupon for hardware validation

  • A multi‑domain thermal stack including:

    • Arachne Microfluidic Interposer (microfluidic cooling + CTE control)

    • Vortex‑TPMS Core (high‑flux thermal removal)

    • Forgecell PCM Module (transient heat buffering)

    • CRFG Thermoacoustic Pump (thermal stabilization)

    • MMRA Resonant Diagnostics (EM/IR hotspot detection)

  • APR‑AI telemetry for automated calibration and control

  • Mechanic’s Battery for stable DC supply during testing

The solver reads a power‑grid specification, constructs a resistor‑and‑via mesh, and computes node voltages by assembling and solving a sparse conductance matrix. The physical PDN coupon and thermal stack allow engineers to validate solver predictions under realistic electrical, thermal, and resonant conditions. The system provides voltage‑drop histograms, heatmaps, droop waveforms, EM‑risk maps, and thermal‑coupled behavior within minutes, enabling rapid comparison of grid options before committing to full physical‑design passes.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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