Message ID | 20250205001052.2590140-1-skhawaja@google.com (mailing list archive) |
---|---|
Headers | show |
Series | Add support to do threaded napi busy poll | expand |
On Tue, Feb 4, 2025 at 4:10 PM Samiullah Khawaja <skhawaja@google.com> wrote: > > Extend the already existing support of threaded napi poll to do continuous > busy polling. > > This is used for doing continuous polling of napi to fetch descriptors > from backing RX/TX queues for low latency applications. Allow enabling > of threaded busypoll using netlink so this can be enabled on a set of > dedicated napis for low latency applications. > > It allows enabling NAPI busy poll for any userspace application > indepdendent of userspace API being used for packet and event processing > (epoll, io_uring, raw socket APIs). Once enabled user can fetch the PID > of the kthread doing NAPI polling and set affinity, priority and > scheduler for it depending on the low-latency requirements. > > Currently threaded napi is only enabled at device level using sysfs. Add > support to enable/disable threaded mode for a napi individually. This > can be done using the netlink interface. Extend `napi-set` op in netlink > spec that allows setting the `threaded` attribute of a napi. > > Extend the threaded attribute in napi struct to add an option to enable > continuous busy polling. Extend the netlink and sysfs interface to allow > enabled/disabling threaded busypolling at device or individual napi > level. > > We use this for our AF_XDP based hard low-latency usecase using onload > stack (https://github.com/Xilinx-CNS/onload) that runs in userspace. Our > usecase is a fixed frequency RPC style traffic with fixed > request/response size. We simulated this using neper by only starting > next transaction when last one has completed. The experiment results are > listed below, > > Setup: > > - Running on Google C3 VMs with idpf driver with following configurations. > - IRQ affinity and coalascing is common for both experiments. > - There is only 1 RX/TX queue configured. > - First experiment enables busy poll using sysctl for both epoll and > socket APIs. > - Second experiment enables NAPI threaded busy poll for the full device > using sysctl. > > Non threaded NAPI busy poll enabled using sysctl. > ``` > echo 400 | sudo tee /proc/sys/net/core/busy_poll > echo 400 | sudo tee /proc/sys/net/core/busy_read > echo 2 | sudo tee /sys/class/net/eth0/napi_defer_hard_irqs > echo 15000 | sudo tee /sys/class/net/eth0/gro_flush_timeout > ``` > > Results using following command, > ``` > sudo EF_NO_FAIL=0 EF_POLL_USEC=100000 taskset -c 3-10 onload -v \ > --profile=latency ./neper/tcp_rr -Q 200 -R 400 -T 1 -F 50 \ > -p 50,90,99,999 -H <IP> -l 10 > > ... > ... > > num_transactions=2835 > latency_min=0.000018976 > latency_max=0.049642100 > latency_mean=0.003243618 > latency_stddev=0.010636847 > latency_p50=0.000025270 > latency_p90=0.005406710 > latency_p99=0.049807350 > latency_p99.9=0.049807350 > ``` > > Results with napi threaded busy poll using following command, > ``` > sudo EF_NO_FAIL=0 EF_POLL_USEC=100000 taskset -c 3-10 onload -v \ > --profile=latency ./neper/tcp_rr -Q 200 -R 400 -T 1 -F 50 \ > -p 50,90,99,999 -H <IP> -l 10 > > ... > ... > > num_transactions=460163 > latency_min=0.000015707 > latency_max=0.200182942 > latency_mean=0.000019453 > latency_stddev=0.000720727 > latency_p50=0.000016950 > latency_p90=0.000017270 > latency_p99=0.000018710 > latency_p99.9=0.000020150 > ``` > > Here with NAPI threaded busy poll in a separate core, we are able to > consistently poll the NAPI to keep latency to absolute minimum. And also > we are able to do this without any major changes to the onload stack and > threading model. > > v3: > - Fixed calls to dev_set_threaded in drivers > > v2: > - Add documentation in napi.rst. > - Provide experiment data and usecase details. > - Update busy_poller selftest to include napi threaded poll testcase. > - Define threaded mode enum in netlink interface. > - Included NAPI threaded state in napi config to save/restore. > > Samiullah Khawaja (4): > Add support to set napi threaded for individual napi > net: Create separate gro_flush helper function > Extend napi threaded polling to allow kthread based busy polling > selftests: Add napi threaded busy poll test in `busy_poller` > > Documentation/ABI/testing/sysfs-class-net | 3 +- > Documentation/netlink/specs/netdev.yaml | 14 ++ > Documentation/networking/napi.rst | 80 ++++++++++- > .../net/ethernet/atheros/atl1c/atl1c_main.c | 2 +- > drivers/net/ethernet/mellanox/mlxsw/pci.c | 2 +- > drivers/net/ethernet/renesas/ravb_main.c | 2 +- > drivers/net/wireless/ath/ath10k/snoc.c | 2 +- > include/linux/netdevice.h | 24 +++- > include/uapi/linux/netdev.h | 7 + > net/core/dev.c | 127 ++++++++++++++---- > net/core/net-sysfs.c | 2 +- > net/core/netdev-genl-gen.c | 5 +- > net/core/netdev-genl.c | 9 ++ > tools/include/uapi/linux/netdev.h | 7 + > tools/testing/selftests/net/busy_poll_test.sh | 25 +++- > tools/testing/selftests/net/busy_poller.c | 14 +- > 16 files changed, 285 insertions(+), 40 deletions(-) > > -- > 2.48.1.362.g079036d154-goog > Adding Joe and Martin as they requested to be CC'd in the next revision. It seems I missed them when sending this out :(.
On 2025-02-04 19:10, Samiullah Khawaja wrote: > Extend the already existing support of threaded napi poll to do continuous > busy polling. [snip] > Setup: > > - Running on Google C3 VMs with idpf driver with following configurations. > - IRQ affinity and coalascing is common for both experiments. > - There is only 1 RX/TX queue configured. > - First experiment enables busy poll using sysctl for both epoll and > socket APIs. > - Second experiment enables NAPI threaded busy poll for the full device > using sysctl. > > Non threaded NAPI busy poll enabled using sysctl. > ``` > echo 400 | sudo tee /proc/sys/net/core/busy_poll > echo 400 | sudo tee /proc/sys/net/core/busy_read > echo 2 | sudo tee /sys/class/net/eth0/napi_defer_hard_irqs > echo 15000 | sudo tee /sys/class/net/eth0/gro_flush_timeout > ``` > > Results using following command, > ``` > sudo EF_NO_FAIL=0 EF_POLL_USEC=100000 taskset -c 3-10 onload -v \ > --profile=latency ./neper/tcp_rr -Q 200 -R 400 -T 1 -F 50 \ > -p 50,90,99,999 -H <IP> -l 10 > > ... > ... > > num_transactions=2835 > latency_min=0.000018976 > latency_max=0.049642100 > latency_mean=0.003243618 > latency_stddev=0.010636847 > latency_p50=0.000025270 > latency_p90=0.005406710 > latency_p99=0.049807350 > latency_p99.9=0.049807350 > ``` > > Results with napi threaded busy poll using following command, > ``` > sudo EF_NO_FAIL=0 EF_POLL_USEC=100000 taskset -c 3-10 onload -v \ > --profile=latency ./neper/tcp_rr -Q 200 -R 400 -T 1 -F 50 \ > -p 50,90,99,999 -H <IP> -l 10 > > ... > ... > > num_transactions=460163 > latency_min=0.000015707 > latency_max=0.200182942 > latency_mean=0.000019453 > latency_stddev=0.000720727 > latency_p50=0.000016950 > latency_p90=0.000017270 > latency_p99=0.000018710 > latency_p99.9=0.000020150 > ``` > > Here with NAPI threaded busy poll in a separate core, we are able to > consistently poll the NAPI to keep latency to absolute minimum. And also > we are able to do this without any major changes to the onload stack and > threading model. As far as I'm concerned, this is still not sufficient information to fully assess the experiment. The experiment shows an 162-fold decrease in latency and a corresponding increase in throughput for this closed-loop workload (which, btw, is different from your open-loop fixed rate use case). This would be an extraordinary improvement and that alone warrants some scrutiny. 162X means either the base case has a lot of idle time or wastes an enormous amount of cpu cycles. How can that be explained? It would be good to get some instruction/cycle counts to drill down further. The server process invocation and the actual irq routing is not provided. Just stating its common for both experiments is not sufficient. Without further information, I still cannot rule out that: - In the base case, application and napi processing execute on the same core and trample on each other. I don't know how onload implements epoll_wait, but I worry that it cannot align application processing (busy-looping?) and napi processing (also busy-looping?). - In the threaded busy-loop case, napi processing ends up on one core, while the application executes on another one. This uses two cores instead of one. Based on the above, I think at least the following additional scenarios need to be investigated: a) Run the server application in proper fullbusy mode, i.e., cleanly alternating between application processing and napi processing. As a second step, spread the incoming traffic across two cores to compare apples to apples. b) Run application and napi processing on separate cores, but simply by way of thread pinning and interrupt routing. How close does that get to the current results? Then selectively add threaded napi and then busy polling. c) Run the whole thing without onload for comparison. The benefits should show without onload as well and it's easier to reproduce. Also, I suspect onload hurts in the base case and that explains the atrociously high latency and low throughput of it. Or, even better, simply provide a complete specification / script for the experiment that makes it easy to reproduce. Note that I don't dismiss the approach out of hand. I just think it's important to properly understand the purported performance improvements. At the same time, I don't think it's good for the planet to burn cores with busy-looping without good reason. Thanks, Martin
On Wed, Feb 05, 2025 at 12:10:48AM +0000, Samiullah Khawaja wrote: > Extend the already existing support of threaded napi poll to do continuous > busy polling. [...] Overall, +1 to everything Martin said in his response. I think I'd like to try to reproduce this myself to better understand the stated numbers below. IMHO: the cover letter needs more details. > > Setup: > > - Running on Google C3 VMs with idpf driver with following configurations. > - IRQ affinity and coalascing is common for both experiments. As Martin suggested, a lot more detail here would be helpful. > - There is only 1 RX/TX queue configured. > - First experiment enables busy poll using sysctl for both epoll and > socket APIs. > - Second experiment enables NAPI threaded busy poll for the full device > using sysctl. > > Non threaded NAPI busy poll enabled using sysctl. > ``` > echo 400 | sudo tee /proc/sys/net/core/busy_poll > echo 400 | sudo tee /proc/sys/net/core/busy_read I'm not sure why busy_read is enabled here? Maybe more details on how exactly the internals of onload+neper work would explain it, but I presume it's an epoll_wait loop with non-blocking reads so busy_read wouldn't do anything? > echo 2 | sudo tee /sys/class/net/eth0/napi_defer_hard_irqs > echo 15000 | sudo tee /sys/class/net/eth0/gro_flush_timeout > ``` The deferral amounts above are relatively small, which makes me wonder if you are seeing IRQ and softIRQ interference in the base case? I ask because it seems like in the test case (if I read the patch correctly) the processing of packets happens when BH is disabled. Did I get that right? If so, then: - In the base case, IRQs can be generated and softirq can interfere with packet processing. - In the test case, packet processing happens but BH is disabled, reducing interference. If I got that right, it sounds like IRQ suspension would show good results in this case, too, and it's probably worth comparing IRQ suspension in the onload+neper setup. It seems like it shouldn't be too difficult to get onload+neper using it and the data would be very enlightening.
On Tue, Feb 4, 2025 at 5:32 PM Martin Karsten <mkarsten@uwaterloo.ca> wrote: > > On 2025-02-04 19:10, Samiullah Khawaja wrote: > > Extend the already existing support of threaded napi poll to do continuous > > busy polling. > > [snip] > > > Setup: > > > > - Running on Google C3 VMs with idpf driver with following configurations. > > - IRQ affinity and coalascing is common for both experiments. > > - There is only 1 RX/TX queue configured. > > - First experiment enables busy poll using sysctl for both epoll and > > socket APIs. > > - Second experiment enables NAPI threaded busy poll for the full device > > using sysctl. > > > > Non threaded NAPI busy poll enabled using sysctl. > > ``` > > echo 400 | sudo tee /proc/sys/net/core/busy_poll > > echo 400 | sudo tee /proc/sys/net/core/busy_read > > echo 2 | sudo tee /sys/class/net/eth0/napi_defer_hard_irqs > > echo 15000 | sudo tee /sys/class/net/eth0/gro_flush_timeout > > ``` > > > > Results using following command, > > ``` > > sudo EF_NO_FAIL=0 EF_POLL_USEC=100000 taskset -c 3-10 onload -v \ > > --profile=latency ./neper/tcp_rr -Q 200 -R 400 -T 1 -F 50 \ > > -p 50,90,99,999 -H <IP> -l 10 > > > > ... > > ... > > > > num_transactions=2835 > > latency_min=0.000018976 > > latency_max=0.049642100 > > latency_mean=0.003243618 > > latency_stddev=0.010636847 > > latency_p50=0.000025270 > > latency_p90=0.005406710 > > latency_p99=0.049807350 > > latency_p99.9=0.049807350 > > ``` > > > > Results with napi threaded busy poll using following command, > > ``` > > sudo EF_NO_FAIL=0 EF_POLL_USEC=100000 taskset -c 3-10 onload -v \ > > --profile=latency ./neper/tcp_rr -Q 200 -R 400 -T 1 -F 50 \ > > -p 50,90,99,999 -H <IP> -l 10 > > > > ... > > ... > > > > num_transactions=460163 > > latency_min=0.000015707 > > latency_max=0.200182942 > > latency_mean=0.000019453 > > latency_stddev=0.000720727 > > latency_p50=0.000016950 > > latency_p90=0.000017270 > > latency_p99=0.000018710 > > latency_p99.9=0.000020150 > > ``` > > > > Here with NAPI threaded busy poll in a separate core, we are able to > > consistently poll the NAPI to keep latency to absolute minimum. And also > > we are able to do this without any major changes to the onload stack and > > threading model. > > As far as I'm concerned, this is still not sufficient information to > fully assess the experiment. The experiment shows an 162-fold decrease > in latency and a corresponding increase in throughput for this > closed-loop workload (which, btw, is different from your open-loop fixed > rate use case). This would be an extraordinary improvement and that > alone warrants some scrutiny. 162X means either the base case has a lot > of idle time or wastes an enormous amount of cpu cycles. How can that be > explained? It would be good to get some instruction/cycle counts to > drill down further. The difference is much more apparent (and larger) when I am using more sockets (50) in this case. I have noticed that the situation gets worse if I add much more sockets in the mix, but I think this here is enough to show the effect. The processing of packets on a core and then going back to userspace to do application work (or protocol processing in case of onload) is not ok for this use case. If you look at P50, most of the time there is not much difference, but the tail latencies add up in the P90 case. I want the descriptors to be pulled from the NIC queues and handed over right away for processing to a separate core. > > The server process invocation and the actual irq routing is not > provided. Just stating its common for both experiments is not > sufficient. Without further information, I still cannot rule out that: > > - In the base case, application and napi processing execute on the same > core and trample on each other. I don't know how onload implements > epoll_wait, but I worry that it cannot align application processing > (busy-looping?) and napi processing (also busy-looping?). > > - In the threaded busy-loop case, napi processing ends up on one core, > while the application executes on another one. This uses two cores > instead of one. > > Based on the above, I think at least the following additional scenarios > need to be investigated: > > a) Run the server application in proper fullbusy mode, i.e., cleanly > alternating between application processing and napi processing. As a > second step, spread the incoming traffic across two cores to compare > apples to apples. This is exactly what is being done in the experiment I posted and it shows massive degradation of latency when the core is shared between application processing and napi processing. The busy_read setup above that I mentioned, makes onload do napi processing when xsk_recvmsg is called. Also onload spins in the userspace to handle the AF_XDP queues/rings in memory. > > b) Run application and napi processing on separate cores, but simply by > way of thread pinning and interrupt routing. How close does that get to > the current results? Then selectively add threaded napi and then busy > polling. This was the base case with which we started looking into this work. And this gives much worse latency because the packets are only picked from the RX queue on interrupt wakeups (and BH). In fact moving them to separate cores in this case makes the core getting interrupts be idle and go to sleep if the frequency of packets is low. > > c) Run the whole thing without onload for comparison. The benefits > should show without onload as well and it's easier to reproduce. Also, I > suspect onload hurts in the base case and that explains the atrociously > high latency and low throughput of it. > > Or, even better, simply provide a complete specification / script for > the experiment that makes it easy to reproduce. That would require setting up onload on the platform you use, provided it has all the AF_XDP things needed to bring it up. I think I have provided everything that you would need to set this up on your platform. I have provided the onload repo, it is open source and it has README with steps to set it up. I have provided the sysctls configuration I am using. I have also provided the exact command with all the arguments I am using to run onload with neper (configuration and environment including cpu affinity setup). > > Note that I don't dismiss the approach out of hand. I just think it's > important to properly understand the purported performance improvements. I think the performance improvements are apparent with the data I provided, I purposefully used more sockets to show the real differences in tail latency with this revision. Also one thing that you are probably missing here is that the change here also has an API aspect, that is it allows a user to drive napi independent of the user API or protocol being used. I mean I can certainly drive the napi using recvmsg, but the napi will only be driven if there is no data in the recv queue. The recvmsg will check the recv_queue and if it is not empty it will return. This forces the application to drain the socket and then do napi processing, basically introducing the same effect of alternating between napi processing and application processing. The use case to drive the napi in a separate core (or a couple of threads sharing a single core) is handled cleanly with this change by enabling it through netlink. > At the same time, I don't think it's good for the planet to burn cores > with busy-looping without good reason. > > Thanks, > Martin >