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> > >
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