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authorYuren Hao <yurenh2@illinois.edu>2026-07-09 23:10:39 -0500
committerYuren Hao <yurenh2@illinois.edu>2026-07-09 23:10:39 -0500
commit7ea3e8f1a688b8da9aed5623c8d12250594b2336 (patch)
tree74eb4e1b05fd7936f9ac2fc43d03a7c829c9f1fa
parent813235213786e4e9e6a6fd81f5a2d7db902b650f (diff)
HW BoM correction: Lion/SGD ruled out for EP training (empirical, abl_lion2 blew @600 + prior tests) — factored-Adam is the MANDATORY analog baseline, not premium tier
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014FAPDWQ49M5Ye3NpTndTpn
-rw-r--r--docs/hardware/HW_RESEARCH_FINDINGS.md13
1 files changed, 9 insertions, 4 deletions
diff --git a/docs/hardware/HW_RESEARCH_FINDINGS.md b/docs/hardware/HW_RESEARCH_FINDINGS.md
index d380b39..e6b77b9 100644
--- a/docs/hardware/HW_RESEARCH_FINDINGS.md
+++ b/docs/hardware/HW_RESEARCH_FINDINGS.md
@@ -242,7 +242,12 @@ SGD/Lion: 1.0× memory-cells, ~0 ADC/step, trivial periphery ← analog-n
Adam(fact): 2.0× memory-cells, ~0 ADC/step, +16C AGC channels ← analog-compatible
Muon: 2.0× memory-cells, +12C² ADC conversions/step + digital NS sidecar ← mixed-signal heavy
```
-Recommendation for the chip narrative: **Lion (or SGDM) as the on-chip rule; factored-Adam as the
-premium tier; Muon explicitly priced out** (its value is in the GPU/simulation era, where it is
-nearly free). Pending verification: Tiki-Taka transfer constants, AGC channel specs, Loihi-trace
-leakage numbers — the deferred optimizer-state deep-research (rerun when API budget recovers).
+**CORRECTION (2026-07-11, project empirical record): Lion/SGD are RULED OUT for EP training** —
+tested and failed (looped line: abl_lion2 diverged at step 600, val 20.1 / res 0.34; earlier tests
+concur). Per-parameter adaptivity (Adam-class) is empirically LOAD-BEARING for EP gradients here.
+⟹ Revised chip narrative: **factored-Adam (AGC/Tiki-Taka route) is not the premium tier — it is
+the MANDATORY baseline**. The +2× analog memory and ~16C AGC channels per block are the price of
+admission for analog EP training, and the OmniOpt "Lion is cheap"路线 does not apply to us.
+Muon stays priced out of analog (GPU/simulation-era tool). This RAISES the priority of the deferred
+optimizer-state research (Tiki-Taka transfer constants, AGC channel specs, trace leakage — rerun
+when API budget recovers): the analog-Adam engineering is now on the critical path of the chip story.