Commits
Aya Levin committed 47e83c69fe1
net/mlx5e: Add resiliency in Striding RQ mode for packets larger than MTU [ Upstream commit c3c9402373fe20e2d08c04f437ce4dcd252cffb2 ] Prior to this fix, in Striding RQ mode the driver was vulnerable when receiving packets in the range (stride size - headroom, stride size]. Where stride size is calculated by mtu+headroom+tailroom aligned to the closest power of 2. Usually, this filtering is performed by the HW, except for a few cases: - Between 2 VFs over the same PF with different MTUs - On bluefield, when the host physical function sets a larger MTU than the ARM has configured on its representor and uplink representor. When the HW filtering is not present, packets that are larger than MTU might be harmful for the RQ's integrity, in the following impacts: 1) Overflow from one WQE to the next, causing a memory corruption that in most cases is unharmful: as the write happens to the headroom of next packet, which will be overwritten by build_skb(). In very rare cases, high stress/load, this is harmful. When the next WQE is not yet reposted and points to existing SKB head. 2) Each oversize packet overflows to the headroom of the next WQE. On the last WQE of the WQ, where addresses wrap-around, the address of the remainder headroom does not belong to the next WQE, but it is out of the memory region range. This results in a HW CQE error that moves the RQ into an error state. Solution: Add a page buffer at the end of each WQE to absorb the leak. Actually the maximal overflow size is headroom but since all memory units must be of the same size, we use page size to comply with UMR WQEs. The increase in memory consumption is of a single page per RQ. Initialize the mkey with all MTTs pointing to a default page. When the channels are activated, UMR WQEs will redirect the RX WQEs to the actual memory from the RQ's pool, while the overflow MTTs remain mapped to the default page. Fixes: 73281b78a37a ("net/mlx5e: Derive Striding RQ size from MTU") Signed-off-by: Aya Levin <ayal@mellanox.com> Reviewed-by: Tariq Toukan <tariqt@nvidia.com> Signed-off-by: Saeed Mahameed <saeedm@nvidia.com> Signed-off-by: Sasha Levin <sashal@kernel.org>