ECONAI-CMS v1 - CMS Calorimeter AI Accelerator
Published:
ECONAI-CMS v1 - CMS Calorimeter AI Accelerator
| Field | Value |
|---|---|
| Project | ECONAI-CMS v1 - CMS Calorimeter AI Accelerator |
| Year | 2021 |
| Technology | TSMC 65nm |
| Type | ASIC |
| Status | Deployed |
| Funding | CERN, Fermilab, Northwestern U, Columbia U, MIT, Brown U, Caltech, FIT, IPB |
Project Overview
On-chip reprogrammable AI accelerator for CERN CMS calorimeter in TSMC 65nm. Handles extreme data rates with radiation hardening via automatic TMR injection.
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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