Hi Andrew, It does make things way faster. Now I am getting time in the range of 2.5 secs. Is this patch ready for prime time?
X. ‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐ On Tuesday, March 2, 2021 7:35 PM, Andrew Yourtchenko <[email protected]> wrote: > Hi Xuo, > > I’ve seen a maybe related problem recently - could you try an image with > https://gerrit.fd.io/r/c/vpp/+/31368 in it and see if you still have a > similarly large difference or does it make things faster for you ? > > --a > >> On 25 Feb 2021, at 16:20, Xuo Guoto via lists.fd.io >> <[email protected]> wrote: > >> >> Hi List, >> >> We have been using policer_add_del and classify_add_del_session in single >> threaded VPP (ie one main thread only) and both API were giving decent >> performance, but after switching to multi thread VPP the performance seems >> be drastically less. >> >> To test this out a small test program was written which will add 10,000 >> policer and classify table entries and measure the speed. >> >> In single threaded VPP the program took 2.19 sec while with 1 main and 2 >> worker threads it took 115.89 sec. The tests were conducted without any >> traffic flowing through VPP. >> >> The python test program too is attached for reference. >> >> Platform and version are: >> >> vpp# sh version >> vpp v21.01.0-1~gfa065f96d built by root on ubuntu20-04 at 2021-02-24T09:00:32 >> >> vpp# sh cpu >> Model name: Intel(R) Xeon(R) Silver 4208 CPU @ 2.10GHz >> Microarch model (family): [0x6] Skylake ([0x55] Skylake X/SP) stepping 0x7 >> Flags: sse3 pclmulqdq ssse3 sse41 sse42 avx rdrand avx2 pqm pqe avx512f >> rdseed aes avx512_vnni invariant_tsc >> Base frequency: 2.09 GHz >> vpp# >> >> vpp# sh thread >> ID Name Type LWP Sched Policy (Priority) lcore Core Socket State >> 0 vpp_main 4230 other (0) 1 7 0 >> 1 vpp_wk_0 workers 4243 other (0) 2 1 0 >> 2 vpp_wk_1 workers 4244 other (0) 3 6 0 >> vpp# >> >> corresponding classify table : classify table mask l3 ip4 src miss-next drop >> memory-size 800M >> >> Is this behavior expected? Can some thing be done to achieve performance >> similar to single threaded VPP while running VPP with multiple threads? >> >> X. >> <2101_api_test.py>
-=-=-=-=-=-=-=-=-=-=-=- Links: You receive all messages sent to this group. View/Reply Online (#18874): https://lists.fd.io/g/vpp-dev/message/18874 Mute This Topic: https://lists.fd.io/mt/80903834/21656 Group Owner: [email protected] Unsubscribe: https://lists.fd.io/g/vpp-dev/unsub [[email protected]] -=-=-=-=-=-=-=-=-=-=-=-
