RadHard-AI v1 - Radiation-Hard ML Accelerator
Published:
RadHard-AI v1 - Radiation-Hard ML Accelerator
| Field | Value |
|---|---|
| Project | RadHard-AI v1 - Radiation-Hard ML Accelerator |
| Year | 2022 |
| Technology | TSMC 28nm |
| Type | ASIC |
| Status | Completed |
| Funding | Fermilab, Northwestern University, Columbia University |
Project Overview
Radiation-hardened hardware for anomaly detection in TSMC 28nm. Features automatic TMR injection for radiation hardening and RISC-V processor integration.
Design Flow
- RTL Design: Verilog HDL implementation and verification
- Synthesis: Cadence Genus with technology-specific optimization
- Place & Route: Cadence Innovus with timing and power closure
- Physical Verification: DRC/LVS with Calibre and extraction
- Verification: Post-layout simulation and formal verification
GitHub repository: [Add link when available]
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