The fix commit and an additional fix commit 7170130e4c72 ("x86/mm/init: Handle
the special case of device private pages in add_pages(), to not increase
max_pfn and trigger dma_addr
essing_limited() bounce buffers") has been committed into Plucky via this set
of stable updates: https://bugs.launchpad.net/ubuntu/+source/linux/+bug/2115678.
** Changed in: linux (Ubuntu Plucky)
Status: In Progress => Fix Committed
** Changed in: linux (Ubuntu Plucky)
Assignee: Jacob Martin (jacobmartin) => (unassigned)
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https://bugs.launchpad.net/bugs/2120209
Title:
x86 systems with PCIe BAR addresses located outside a certain range
see P2PDMA allocation failures and CUDA initialization errors
Status in linux package in Ubuntu:
Invalid
Status in linux source package in Jammy:
In Progress
Status in linux source package in Noble:
In Progress
Status in linux source package in Plucky:
Fix Committed
Bug description:
SRU Justification
[Impact]
On some x86 systems, it is possible for PCIe device BAR addresses to exceed
the
range reserved by KASLR for direct mappings. This causes attempts to map the
impacted BAR region using devm_memremap_pages() to fail. These memmap-backed
mappings are required for multiple use-cases, including P2PDMA, and CUDA with
Heterogeneous Memory Management (HMM) enabled.
[Fix]
This is resolved upstream by commit 7ffb791423c7 ("x86/kaslr: Reduce KASLR
entropy on most x86 systems"). It changes the behavior of KASLR to not shrink
direct mapping space when CONFIG_PCI_P2PDMA is enabled. The consequence of
this
is that there is less room for KASLR to maneuver, and thus the amount of
entropy in the randomized layout is reduced. In discussion on the upstream
patch submission [1], it is noted that on the submitter's system this reduces
entropy from 16 bits down to 15 bits.
Cherry-picking the mentioned commit allows CUDA with HMM enabled and P2PDMA to
function on the systems described above, as with it the direct mapping space
is
not shrunk, so all BAR regions fall within its bounds, and thus the
devm_memremap_pages() operation succeeds.
Jammy 5.15 has CONFIG_PCI_P2PDMA set to n, so a cherry-pick alone will not
resolve the issue. In addition to the cherry-pick, set CONFIG_PCI_P2PDMA=y.
Jammy: Cherry-pick and CONFIG_PCI_P2PDMA=y needed
Noble: Cherry-pick needed
Plucky: Cherry-pick needed
Questing: Not affected, fix commit already in tree.
[Test Case]
The issue only occurs on systems with PCIe BAR addresses located outside of
the
current minimum address range of [0, ceil(max_pfn / 1TiB) +
CONFIG_RANDOMIZE_MEMORY_PHYSICAL_PADDING (10 TiB)].
With the NVIDIA Container Toolkit installed and enabled for Docker, the
following reproduces the issue on affected systems where one or more NVIDIA
GPUs have BAR addresses outside of the current minimum range:
$ sudo docker run --runtime nvidia --rm -it nvcr.io/nvidia/pytorch:25.03-py3
ERROR: The NVIDIA Driver is present, but CUDA failed to initialize. GPU
functionality will not be available.
[[ Initialization error (error 3) ]]
[Where things could go wrong]
This reduces the entropy of the memory layouts KASLR generates on most x86
systems. A bug would likely show up as misbehavior of KASLR.
On Jammy, this changeset also enables CONFIG_PCI_P2PDMA, which could have
additional side-effects. There is an LP bug [2] noting the change of
CONFIG_PCI_P2PDMA in newer kernels.
[Other Notes]
[1] https://lore.kernel.org/lkml/202502061145.8AFAF053E4@keescook/
[2] https://bugs.launchpad.net/bugs/1987394
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