On Mon, Sep 24, 2018 at 04:09:09PM +0300, Alexey Budankov wrote: > Hi, > > On 24.09.2018 10:02, Alexey Budankov wrote: > > Hi, > > > > On 23.09.2018 22:30, Jiri Olsa wrote: > >> On Fri, Sep 21, 2018 at 09:13:08AM +0300, Alexey Budankov wrote: > >> > >> SNIP > >> > >>> Events: > >>> cpu/period=P,event=0x3c/Duk;CPU_CLK_UNHALTED.THREAD > >>> cpu/period=P,umask=0x3/Duk;CPU_CLK_UNHALTED.REF_TSC > >>> cpu/period=P,event=0xc0/Duk;INST_RETIRED.ANY > >>> cpu/period=0xaae61,event=0xc2,umask=0x10/uk;UOPS_RETIRED.ALL > >>> cpu/period=0x11171,event=0xc2,umask=0x20/uk;UOPS_RETIRED.SCALAR_SIMD > >>> cpu/period=0x11171,event=0xc2,umask=0x40/uk;UOPS_RETIRED.PACKED_SIMD > >>> > >>> ================================================= > >>> > >>> Command: > >>> /usr/bin/time /tmp/vtune_amplifier_2019.574715/bin64/perf.thr record > >>> --threads=T \ > >>> -a -N -B -T -R --call-graph dwarf,1024 --user-regs=ip,bp,sp \ > >>> -e cpu/period=P,event=0x3c/Duk,\ > >>> cpu/period=P,umask=0x3/Duk,\ > >>> cpu/period=P,event=0xc0/Duk,\ > >>> cpu/period=0x30d40,event=0xc2,umask=0x10/uk,\ > >>> cpu/period=0x4e20,event=0xc2,umask=0x20/uk,\ > >>> cpu/period=0x4e20,event=0xc2,umask=0x40/uk \ > >>> --clockid=monotonic_raw -- ./matrix.(icc|gcc) > >> > >> hum, so I guess the results suck because of the -a option, > >> getting extra samples for all the perf record threads > >> > >> could you try without the -a? you monitor only user events, > >> so you're interested only in ./matrix.* samples, right? > > > > Ok, trying without -a, in per-process mode. > > Command: > > /usr/bin/time ./perf.thr record --threads=T \ > -N -B -T -R --call-graph dwarf,1024 --user-regs=ip,bp,sp \ > -e cpu/period=P,event=0x3c/Duk,\ > cpu/period=P,umask=0x3/Duk,\ > cpu/period=P,event=0xc0/Duk,\ > cpu/period=0xaae61,event=0xc2,umask=0x10/uk,\ > cpu/period=0x11171,event=0xc2,umask=0x20/uk,\ > cpu/period=0x11171,event=0xc2,umask=0x40/uk \ > --clockid=monotonic_raw -- ./matrix.gcc > > Workload: matrix multiplication in 128 threads > > T : 272 > P (period, ms) : 0.35 > runtime overhead (%) : 13x ~ 87.73 / 6.81
how do you meassure this? > data loss (%) : 0 > LOST events : 36 > SAMPLE events : 8048542 > perf.data size (GiB) : 10 any idea why does it have some much more samples? thanks, jirka
