| |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
The progress service now decodes push buffers as method streams and performs
the work the driver pushes, not just the tracking semaphore:
- C5B5 method decoder: SET_REMAP_CONST_A/B + COMPONENTS + OFFSET_OUT +
LINE_LENGTH_IN + LAUNCH_DMA = memset (into vidmem or guest RAM);
OFFSET_IN + OFFSET_OUT + LAUNCH_DMA = copy; SET_SEMAPHORE_A/B/PAYLOAD +
LAUNCH_DMA = release. Contiguous method runs (count 2/4) are applied in
full - OFFSET_IN/OUT arrive as one run.
- Pushes span page boundaries, so pages are decoded as method streams
without a start marker. Collected operations execute only when the
push's release is reached and still pending (payload ahead of the
semaphore), so recycled buffers replaying old pushes are skipped and
their stale memsets cannot overwrite newer state.
- VA->PA map is first-wins: stale copies of freed allocations and
unrelated adjacent u64 pairs produced bogus entries that hijacked a
good mapping and sent semaphore writes to the wrong page.
- dump_guest module parameter (hex dump of guest PA, kthread via
completion; kthread_stop before the thread runs loses the work).
With this the guest no longer stalls in uvm_tracker_wait and no longer
oopses in the UVM path; the failure moved to a userspace segfault inside
libcuda (NULL-0x38) after the driver's page allocations.
Also add tools/cuda-ab: run one deterministic CUDA workload on the host
(bare metal oracle) and in the guest, then compare the stable result
lines. The binary links the CUDA runtime statically so the guest only
needs the driver's libcuda.so.
|
|
|
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.
|
