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- file-backed guest RAM (launcher memory-backend-file share=on) and
in-kernel GPA->HPA translation through the shared file page cache
(read_cache_page + page_to_phys + pfn_valid), opened O_LARGEFILE;
new default-off gsp_phys_guest_mem parameter
- debugfs gsp-phys-guest-ram (path + gpa/off/size ranges) and
gsp-phys-guest-gpa (one pinned GPA per boot); rm-call triggers 6/7 run
host->guest and guest->host 4 KiB CE copies; trigger 8 is a PTE
self-test through a fresh slot
- guest page-table slots are pre-built during ladder stage 3: runtime
PTE writes into an already-walked page-table line are not observed
without a TLB invalidate
- guest RAM layout (q35 4.2, 4 GiB): below-4G GPA == file offset,
above-4G offset = GPA - 0x80000000 (2 GiB PCI hole)
- tests: tools/test/gpage_test.c guest probe; docs + STATE-CURRENT
record the live green (G2H/W2G with semaphore release, guest observed
the write, smoke ALL OK 64/64, clean latched release)
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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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