Open-IOV vGPU-IO: host-side GSP emulation for unmodified NVIDIA guest drivers https://git.vgpu.io/open-iov.git/atom?h=m32 2026-10-01T04:06:19+00:00 2026-10-01T04:06:19+00:00 Arthur Hanson Rasmusson arthur@vgpu.io 2026-10-01T04:06:19+00:00 urn:sha1:f89fcb14ccdf9e8faf07ac42970c98f3ba7959f2 2026-09-29T19:29:00+00:00 Arthur Hanson Rasmusson arthur@vgpu.io 2026-09-29T19:29:00+00:00 urn:sha1:1fdbf4ea8c17dab2b8fca6b5e58c2a6d3bc7596d - 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 2026-09-23T17:48:00+00:00 Arthur Hanson Rasmusson arthur@vgpu.io 2026-09-23T17:48:00+00:00 urn:sha1:c587eac377c1c5b720142edadebaace5cb1b17c0 * 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. 2026-09-23T16:31:44+00:00 Arthur Hanson Rasmusson arthur@vgpu.io 2026-09-23T16:31:44+00:00 urn:sha1:bd6c3ee69d7157e2dabf9350be52367c6a6e3c42 The per-area coordination file was local scratch (gitignored); future parallel work is announced through the project handoff instead. 2026-09-23T16:11:04+00:00 Arthur Hanson Rasmusson arthur@vgpu.io 2026-09-23T16:11:04+00:00 urn:sha1:21b8ebc9db1d0ae649d6406087ea22b54e3b5775 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).