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cah 10ddb70fa0 fix(decoder): split CN_UPDATE into pipelined CN_STAGE1/CN_STAGE2

Split the monolithic CN_UPDATE state into two registered pipeline stages:
- CN_STAGE1: sign/magnitude extract and min-find (registered)
- CN_STAGE2: extrinsic output generation
This halves the critical path through the CN update logic.

Also updates FSM comments to reflect actual cycle counts:
18 cycles/layer × 7 layers + 3 (syndrome) = 129 cycles/iteration.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-03-10 19:42:09 -06:00

data

feat: add test vector generation for RTL verification

2026-02-25 18:36:26 -07:00

docs

docs: add OpenLane hardening results and critical path analysis

2026-03-02 17:03:35 -07:00

model

test: add vector-driven Verilator testbench with Python model cross-check

2026-02-25 19:50:09 -07:00

rtl

fix(decoder): split CN_UPDATE into pipelined CN_STAGE1/CN_STAGE2