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across the tree
New page docs/04-implementation/03-execution-frontier.md describes the chain
that must fire for a guest CUDA launch (guest push -> GPFIFO/front-end ->
inline launch-descriptor install -> engine read/dispatch -> completion),
where the leading edge is (the descriptor install path), how we know
(front-end vs engine-authored observables and their limits), what is
exonerated (context validity at dispatch, destination window mapping,
fetch alignment, shared-buffer rule, parenting), the ranked issues (verbatim
prelude targets, missing descriptor-virtualization control, sentinel
hygiene), live investigation lines and labelled theories.
Align every page that still said GR execution is blocked on engine-context
validity to the current frontier, and add the new page to the README reading
order (row 15, later rows renumbered). Docs only; no code.
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- docs/eng-ops.md gains Part II, live physical-backend engineering
operations: hard rules, the full module-parameter matrix, the routine
supervised cycle and clean-release checklist, the debugfs inventory,
how to read gsp-phys-state, a debugging scenario catalogue
(CTXNOTVALID/promote wedge, fail-safe WPR2, unload hangs, guest wedges,
MMU/PTE and PBDMA faults, relay symptoms), a hazard register (crash
causes and debugging side effects), the physical-backend OODA loop, and
the work-context map with porting flows
- architecture, implementation, operations, orientation, getting-started,
portability, ecosystem and reference docs corrected to the current
state: CUDA driver-API smoke green, CE-class work forwarding and
engine-authored releases plus fault relay in place (default off), GR
execution blocked on engine-context validity, the promote wedge and
designed locked fail-safe, and P5 wave-2 subsumed
- internal-reference cleanup in tracked docs (no analysis-source or
local-archive references); historical architecture document bannered
- README reading list and STATE-CURRENT frontier refreshed; new pages
(runbook, green-eye user guide, porting sequence, porting/packaging
notes) linked from the tree
Link check: scripts/check-docs-links.py passes (56 files, no broken links).
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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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* Merge and remove the pre-reboot flat documents, preserving their still-useful
material in the structured tree: debugging workflows and the EPT-livelock
case study (05-operations/02), performance microbenchmarks and A/B
methodology (05-operations/01), the version-upgrade runbook
(05-operations/02 section 4, with corrected host/guest framing), kernel-code
pitfalls (07-developers) and the OpenRM build/load order
(03-architecture/06 section 7). The remaining legacy files were verified
redundant and removed.
* docs/README now records where each migrated topic lives.
* Portability: the config YAML files are called out as design targets that no
code reads yet, with what adding support actually requires today.
* Getting started: the OpenRM step is marked optional (native vGPU-management
workflows only; the emulated path uses the distro driver).
* tools docs: rmtool/rmtop marked as planned, pointing at the implemented
tools/rmq subset.
* wiki: new CUDA-Userspace-Driver deep-dive page (public-safe, links the
canonical userspace/cuda analysis) and index update.
* scripts/check-docs-links.py plus a CI step so relative links cannot rot.
* STATE.md references to removed documents repointed.
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* Status now matches the live state: guest driver probe and nvidia-smi work;
cuInit/device queries work; cuCtxCreate returns 999 because the emulated
engine list is missing the async copy engine (COPY14). The userspace
libcuda segfault is recorded as solved, with its mechanism (an RM
allocation reply must echo request parameters; zeroing them corrupted the
caller's saved frame pointer).
* Correct the emulation claims: only a subset of RM controls are
special-cased; the rest return a success reply with zeroed parameters whose
consumed fields are still being corrected; allocation replies are coherent
but no server-side object model exists.
* Add the eight-point emulation checklist and reply-fidelity ladder as
explicit gates, documented in userspace/cuda and linked from the
architecture, implementation and operations docs.
* Fix operational errors: build/test commands, module load order, mdev type
names, LFS references, debugfs claims, in-repo firmware claims, CI claims,
portability matrix (guest status, config layout, userspace driver facts).
* Mark historical material: one superseded banner per legacy document with a
pointer to its replacement; STATE.md marked as a 2026-09-21 snapshot.
* Wiki: fix the index, add status banners and in-place factual corrections
(msgq transport vs legacy mailbox, BAR definitions, error statuses,
migration, glossary), and note the archived 2023 imports.
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Open-IOV virtualizes NVIDIA GPUs so that unmodified guest drivers run with
real GPU functionality - CUDA first, 3D and video to follow - on unmodified
hosts, without a proprietary vGPU license and without patching any driver,
firmware or hypervisor.
Core principle: emulate the interface, pass through the work.
kernel/ open-iov-vfio.ko - host VFIO mdev driver: virtual GPU device
(PCI config space, BAR shadows, MSI-X), GSP boot emulation,
GSP-RM message-queue/RPC emulation, memory model (GPU-VA to
guest-PA discovery) and the semaphore-completion service that
advances guest UVM progress.
userspace/ libiov.so management API and examples.
tools/ guest diagnostics, firmware analysis wrappers, RM probes.
scripts/ stack manager, VM harness, build/load/test automation.
config/ hardware/version profiles (the portability surface).
docs/ documentation tree - start at docs/README.md.
wiki/ long-form firmware and protocol deep dives.
Status: initialization works end to end for a stock 570.144 Linux guest on
Turing (TU104): driver probe, nvidia-smi, the full GSP-RM control battery,
object creation and the early CUDA/UVM start-up path. GPU work forwarding -
the step that makes CUDA kernels execute on real hardware - is the active
work item; see docs/04-implementation/01-known-knowns-and-unknowns.md.
License: BSD-3-Clause for the project; GPL-2.0 for kernel modules that link
GPL-only kernel interfaces. See LICENSE and docs/09-reference/legal-and-licensing.md.
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