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third-party references
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- add docs/03-architecture/08-physical-gpu-integration.md: interfaces that
exist, mechanism options A-E, chosen path (module-owned GPU driven through
its real GSP firmware), sharing policy, decision record
- update 06-host-module-and-hybrid-model, 02-practical-challenges, system
overview, known-knowns, docs/README reading order and CUDA-side docs to
match
- correct stale engine-topology/COPY14 blocker claims across the tree
- add STATE-CURRENT.md as the dated public status snapshot
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* Name recovery: name_candidates.py proposes the hand-written API-layer
implementation for each exported wrapper by grouping version variants and
intersecting their callees; 180 high-confidence proposals recorded in
annotations/name-candidates.tsv, 29 of them body-verified and promoted to
names.tsv with evidence in subsystems.tsv.
* Engine records: identified the 0x14-byte per-engine descriptor, mapped its
fields (kind, engine type, instance, class id, CE caps) and the existence
callback, and documented how the missing async copy engine (COPY14) leaves
the secondary record zeroed and blocks context creation (docs/05 section
3.7, public-safe).
* Targeted type recovery: AnalyzeFunctions.java runs the parameter-ID
analyzer over a curated list of 80 functions; 16 improved materially and
the typed decompilations are kept under the version run tree.
* Cross-version: cudatool.py fdematch measures how names transfer between
patch versions (570.144 -> 570.211.01: exports 100%, verified internals
~70%, generated wrappers must be re-resolved by relocation, never by
address arithmetic); documented in the upgrade playbook.
* Corpus tooling: diff_corpus.py (version-to-version corpus diff) and
subsystem_digest.py (per-subsystem call trees).
* Deprecate the old per-version helpers whose address handling and analysis
timeout produced wrong results.
Generated corpora and typed outputs remain untracked under the version run
tree.
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The per-area coordination file was local scratch (gitignored); future
parallel work is announced through the project handoff instead.
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Add the analysis of the NVIDIA CUDA userspace driver used by Open-IOV VMs:
* docs/01-08: architecture (layers, object model, threads, sync, memory,
channels, launch), build and execution model, the driver/kernel/GPU
interface contract, virtualization approaches, the 570.144 decompilation
map with the corrected libcuda crash path and the current engine-topology
blocker, tooling, and a version-upgrade playbook.
* tools/: version-agnostic toolchain - stdlib ELF/interface toolkit
(exports, unwind-table function map, wrapper resolution, version delta,
crash address decode), callgraph walker, corpus annotator, and Ghidra
analysis/decompilation/name-map scripts with resumable parallel drivers.
* 570.144/annotations/: our name map (exports + resolved wrappers + verified
internals) and subsystem index, tracked so naming work accumulates.
* READ-ME-FIRST.md: reading guide with the fast lookup recipes.
The full decompiled corpus and annotated corpus stay untracked (vendor-
derived, gitignored under the version run/ tree).
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