Snapshots the autonomous-iteration work happening in the standalone
/Users/VJ/GitHub/mlperf-edu/ repo. Two iterations folded in:
iter-1: code-defect cleanup (Patterson + Dean sign-off)
- Remove dead simulated_loss + load_real_wikitext_data from
nanogpt_train.py; align NanoGPTWhiteBox vocab to char-level
(50,257 -> 128, dropping 19.3M unused embedding params).
- Fix two broken examples.{edge,mobile} imports in inference paths.
- Reconcile README benchmark table with workloads.yaml (was wrong
on 7 of 16 workloads).
iter-2: DLRM DRAM-resident variant (Emer sign-off)
- New MicroDLRMDRAM with 2M-row hash-mapped virtual EmbeddingBag,
sized so per-batch byte transfer (8 MB at B=8192, m_spa=256)
exceeds PyTorch's ~50 us dispatch floor and exhibits the
bandwidth-bound regime production DLRM lives in.
- Smoke test asserts pure-lookup gap >= 3x; current host shows
4.29x end-to-end and 3.49x lookup-only.
Branch is parked; not for merge to dev. Iteration log lives in the
standalone repo under .iteration_log/ (gitignored locally).
