- §1 Introduction rewritten with AHBM-first opening, in-paper KernBench
platform overview, GQA motivation and three architectural requirements,
three matching HW-SW co-design mechanisms (GQA-aware placement,
PE_IPCQ, composite-command GEMM under PE_SCHEDULER), broader-
applicability outlook (PE_IPCQ as collective substrate, composite
command for fused operator pipelines), and outline. Consistent with
the Executive Summary structure.
- Executive Summary: extended broader-applicability closing with a
forward-looking line previewing FFN/MoE integration.
- §5 section heading renamed from
"All-Reduce Acceleration via PE_IPCQ" to
"PE_IPCQ and Collective Communication".
- Title page date line refined to "2026 H1 Report".
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
New `/paper` slash-command skill that synthesizes ADR/SPEC content and live
KernBench benchmark results into a sectioned LaTeX technical paper compiled
to PDF with Tectonic (auto-installed). The skill negotiates a TOC, grounds
every number in committed artifacts or fresh bench runs, and keeps
report-only benches isolated.
This commit also includes the first generated report:
- docs/report/1H-codesign-paper/ — main.tex + per-section .tex, figures,
toc.md contract, and the built 8-page main.pdf. Covers the platform
(source-level kernels, latency model + accuracy, HW config from
topology.yaml), GEMM via composite command, All-Reduce via PE_IPCQ, and
fused GQA combining both, plus discussion/conclusion/2H future work.
- scripts/paper/ — isolated report harnesses (not registered benches):
paper_gqa_latency.py harvests per-panel GQA end-to-end latency + engine
occupancy (the milestone only emitted op-counts); paper_plot_gqa.py
renders the GQA figures.
GEMM/All-Reduce reuse committed milestone figures/CSVs; GQA results are
generated fresh. Honest flags retained: PE_CPU dispatch cost is 0 in this
config, and the proposed two-composite softmax_merge decode is marked
designed-not-measured.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Adds a section-based table of contents for the 46-ADR corpus, mirroring
the /report skill's classification (Design Principles / High-level
Architecture / Detailed Architecture by component / Implementation
Decisions by topic). Generated for both docs/adr/ (EN titles) and
docs/adr-ko/ (KO titles) from one tool.
tools/generate_adr_index.py:
- Single CLASSIFICATION dict per ADR — add an entry when introducing a
new ADR; the script fails loud if any file is missing from the table.
- DETAILED_COMPONENTS lists each builtin component and the ADR(s) that
cover it (ADR-0014 appears under six PE engines; ADR-0023 under
pe_dma + pe_ipcq).
- Accepts both ":" and "—" title separators (matching ADR-0033's
existing format).
- --check mode for CI: exits 1 if INDEX.md is stale.
Also includes the docs/report/architecture-2026-1H.md generated by the
prior /report write (the public-facing architecture document; 836 lines,
76 source-attribution comments).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
ywkang