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authorJakub Kicinski <kuba@kernel.org>2026-02-06 16:35:03 -0800
committerJakub Kicinski <kuba@kernel.org>2026-02-09 21:08:32 -0800
commitc61a375315c0374134b9ad883f0c64c982c2016b (patch)
tree72cf437903cb2702f74e93543180b9da31d718f2 /tools/perf/lib/Documentation/tutorial/git@git.tavy.me:linux.git
parent5374c334d64f8e1dfc4aadcbcd3a1090fbe39acb (diff)
tools: ynltool: add qstats analysis for HW-GRO efficiency / savings
Extend ynltool to compute HW GRO savings metric - how many packets has HW GRO been able to save the kernel from seeing. Note that this definition does not actually take into account whether the segments were or weren't eligible for HW GRO. If a machine is receiving all-UDP traffic - new metric will show HW-GRO savings of 0%. Conversely since the super-packet still counts as a received packet, savings of 100% is not achievable. Perfect HW-GRO on a machine with 4k MTU and 64kB super-frames would show ~93.75% savings. With 1.5k MTU we may see up to ~97.8% savings (if my math is right). Example after 10 sec of iperf on a freshly booted machine with 1.5k MTU: $ ynltool qstats show eth0 rx-packets: 40681280 rx-bytes: 61575208437 rx-alloc-fail: 0 rx-hw-gro-packets: 1225133 rx-hw-gro-wire-packets: 40656633 $ ynltool qstats hw-gro eth0: 96.9% savings None of the NICs I have access to can report "missed" HW-GRO opportunities so computing a true "effectiveness" metric is not possible. One could also argue that effectiveness metric is inferior in environments where we control both senders and receivers, the savings metrics will capture both regressions in receiver's HW GRO effectiveness but also regressions in senders sending smaller TSO trains. And we care about both. The main downside is that it's hard to tell at a glance how well the NIC is doing because the savings will be dependent on traffic patterns. Reviewed-by: Petr Machata <petrm@nvidia.com> Link: https://patch.msgid.link/20260207003509.3927744-4-kuba@kernel.org Signed-off-by: Jakub Kicinski <kuba@kernel.org>
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