- 28 Jul, 2022 25 commits
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Ian Rogers authored
Update to v1.28, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the skylakex files into perf and update mapfile.csv. Tested with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok 90: perf all metricgroups test : Ok 91: perf all metrics test : Skip 93: perf all PMU test : Ok Signed-off-by:
Ian Rogers <irogers@google.com> Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com> Cc: Alexandre Torgue <alexandre.torgue@foss.st.com> Cc: Andi Kleen <ak@linux.intel.com> Cc: Caleb Biggers <caleb.biggers@intel.com> Cc: James Clark <james.clark@arm.com> Cc: Jiri Olsa <jolsa@kernel.org> Cc: John Garry <john.garry@huawei.com> Cc: Kan Liang <kan.liang@linux.intel.com> Cc: Kshipra Bopardikar <kshipra.bopardikar@intel.com> Cc: Mark Rutland <mark.rutland@arm.com> Cc: Maxime Coquelin <mcoquelin.stm32@gmail.com> Cc: Namhyung Kim <namhyung@kernel.org> Cc: Perry Taylor <perry.taylor@intel.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Sedat Dilek <sedat.dilek@gmail.com> Cc: Stephane Eranian <eranian@google.com> Cc: Xing Zhengjun <zhengjun.xing@linux.intel.com> Link: http://lore.kernel.org/lkml/20220727220832.2865794-26-irogers@google.comSigned-off-by:
Arnaldo Carvalho de Melo <acme@redhat.com>
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Ian Rogers authored
Update to v53, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the skylake files into perf and update mapfile.csv. Tested on a non-skylake with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Update to v14, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the silvermont files into perf and update mapfile.csv. Other than aligning whitespace this change just folds the mapfile.csv entries for silvertmont onto one line. Signed-off-by:
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Ian Rogers authored
Update to v1.04, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the sapphirerapids files into perf and update mapfile.csv. Tested on a non-sapphirerapids with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Update to v17, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the sandybridge files into perf and update mapfile.csv. Tested on a non-sandybridge with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Update to v3, there are no TMA metrics for nehalemex. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the nehalemex files into perf and update mapfile.csv. Tested on a non-nehalemex with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Note: most of this change is just sorting the keys in the json dictionaries. Signed-off-by:
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Ian Rogers authored
Update to v3, the are no TMA metrics for nehalemep. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the nehalemep files into perf and update mapfile.csv. Tested on a non-nehalemep with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Events are v1.00, there are no metrics yet. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the events and metrics. Manually copy the meteorlake files into perf and update mapfile.csv. Tested on a non-meteorlake with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Update to v9, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the knightslanding files into perf and update mapfile.csv. Tested on a non-knightslanding with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Note: uncore-memory has become uncore-other as the topic was determined this way in the conversion scripts. For simplicity the scripts naming is maintained. Signed-off-by:
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Ian Rogers authored
Update to v21, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the jaketown files into perf and update mapfile.csv. Tested on a non-jaketown with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Update to v21, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the ivytown files into perf and update mapfile.csv. Tested on a non-ivytown with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Update to v22, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the ivybridge files into perf and update mapfile.csv. Tested on a non-ivybridge with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Update to v1.15, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the icelakex files into perf and update mapfile.csv. Tested with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok 90: perf all metricgroups test : Ok 91: perf all metrics test : Skip 93: perf all PMU test : Ok Signed-off-by:
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Ian Rogers authored
Update to v1.14, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the icelake files into perf and update mapfile.csv. Tested on a non-icelake with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Update to v25, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the haswellx files into perf and update mapfile.csv. Tested with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok 90: perf all metricgroups test : Ok 91: perf all metrics test : Failed 93: perf all PMU test : Ok The test 91 failure is a pre-existing failure on the test system with the metric Load_Miss_Real_Latency which is fixed by prefixing it with --metric-no-group. Signed-off-by:
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Ian Rogers authored
Update to v31, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the haswell files into perf and update mapfile.csv. Tested on a non-haswell with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Align end of file whitespace with what is generated by: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py Correct the version in mapfile.csv. Event json remains at v1.01, there are no goldmontplus metrics. Signed-off-by:
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Ian Rogers authored
Align end of file whitespace with what is generated by: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py Modify mapfile.csv to have a missing goldmont cpuid. Event json remains at v13, there are no goldmont metrics. Signed-off-by:
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Ian Rogers authored
Update to v1.03. Elkhartlake metrics aren't in TMA but basic metrics are left unchanged. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the elkhartlake files into perf and update mapfile.csv. Tested on a non-elkhartlake with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Update to v1.16, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the cascadelakex files into perf and update mapfile.csv. Tested with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok 90: perf all metricgroups test : Ok 91: perf all metrics test : Skip 93: perf all PMU test : Ok Signed-off-by:
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Ian Rogers authored
Align end of file whitespace with what is generated by: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py Fold the mapfile.csv entries together with a more complex regular expression. This will reduce the pmu-events.c table size. The files following this change are still at v4. Signed-off-by:
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Ian Rogers authored
Update to v1.13, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the alderlake files into perf and update mapfile.csv. Tested on a non-alderlake with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Update to v7, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the broadwellde files into perf and update mapfile.csv. Tested on a non-broadwellde with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Update to v26, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the broadwell files into perf and update mapfile.csv. Tested on a non-broadwell with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok Signed-off-by:
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Ian Rogers authored
Update to v19, the metrics are based on TMA 4.4 full. Use script at: https://github.com/intel/event-converter-for-linux-perf/blob/master/download_and_gen.py to download and generate the latest events and metrics. Manually copy the broadwellx files into perf and update mapfile.csv. Tested with 'perf test': 10: PMU events : 10.1: PMU event table sanity : Ok 10.2: PMU event map aliases : Ok 10.3: Parsing of PMU event table metrics : Ok 10.4: Parsing of PMU event table metrics with fake PMUs : Ok 90: perf all metricgroups test : Ok 91: perf all metrics test : Skip 93: perf all PMU test : Ok Signed-off-by:
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- 27 Jul, 2022 4 commits
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Arnaldo Carvalho de Melo authored
To get upstream fixes. Signed-off-by: -
git://git.kernel.org/pub/scm/linux/kernel/git/akpm/mmLinus Torvalds authored
Pull misc fixes from Andrew Morton: "Thirteen hotfixes. Eight are cc:stable and the remainder are for post-5.18 issues or are too minor to warrant backporting" * tag 'mm-hotfixes-stable-2022-07-26' of git://git.kernel.org/pub/scm/linux/kernel/git/akpm/mm: mailmap: update Gao Xiang's email addresses userfaultfd: provide properly masked address for huge-pages Revert "ocfs2: mount shared volume without ha stack" hugetlb: fix memoryleak in hugetlb_mcopy_atomic_pte fs: sendfile handles O_NONBLOCK of out_fd ntfs: fix use-after-free in ntfs_ucsncmp() secretmem: fix unhandled fault in truncate mm/hugetlb: separate path for hwpoison entry in copy_hugetlb_page_range() mm: fix missing wake-up event for FSDAX pages mm: fix page leak with multiple threads mapping the same page mailmap: update Seth Forshee's email address tmpfs: fix the issue that the mount and remount results are inconsistent. mm: kfence: apply kmemleak_ignore_phys on early allocated pool
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Gao Xiang authored
I've been in Alibaba Cloud for more than one year, mainly to address cloud-native challenges (such as high-performance container images) for open source communities. Update my email addresses on behalf of my current employer (Alibaba Cloud) to support all my (team) work in this area. Also add an outdated @redhat.com address of me. Link: https://lkml.kernel.org/r/20220719154246.62970-1-xiang@kernel.orgSigned-off-by:
Gao Xiang <xiang@kernel.org> Signed-off-by:
Andrew Morton <akpm@linux-foundation.org>
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Nadav Amit authored
Commit 824ddc60 ("userfaultfd: provide unmasked address on page-fault") was introduced to fix an old bug, in which the offset in the address of a page-fault was masked. Concerns were raised - although were never backed by actual code - that some userspace code might break because the bug has been around for quite a while. To address these concerns a new flag was introduced, and only when this flag is set by the user, userfaultfd provides the exact address of the page-fault. The commit however had a bug, and if the flag is unset, the offset was always masked based on a base-page granularity. Yet, for huge-pages, the behavior prior to the commit was that the address is masked to the huge-page granulrity. While there are no reports on real breakage, fix this issue. If the flag is unset, use the address with the masking that was done before. Link: https://lkml.kernel.org/r/20220711165906.2682-1-namit@vmware.com Fixes: 824ddc60 ("userfaultfd: provide unmasked address on page-fault") Signed-off-by:
Nadav Amit <namit@vmware.com> Reported-by:
James Houghton <jthoughton@google.com> Reviewed-by:
Mike Rapoport <rppt@linux.ibm.com> Reviewed-by:
Peter Xu <peterx@redhat.com> Reviewed-by:
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- 26 Jul, 2022 11 commits
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Ian Rogers authored
Icelake has a slots event, on my Skylakex I have CPU events in sysfs of topdown-slots-issued and topdown-total-slots. Legacy event parsing would try to use '-' to separate parts of an event and so perf_pmu__parse_init sets 'slots' to be a PMU_EVENT_SYMBOL_SUFFIX2. As such parsing the slots event for a fake PMU fails as a PMU_EVENT_SYMBOL_SUFFIX2 isn't made into the PE_PMU_EVENT_FAKE token. Resolve this issue by test initializing the PMU parsing state before every parse. This must be done every parse as the state is removes after each parse_events. Signed-off-by:
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Zhengjun Xing authored
Update JSON core/uncore events for haswellx to perf. Based on HSX JSON list v24: https://download.01.org/perfmon/HSXReviewed-by:
Kan Liang <kan.liang@linux.intel.com> Signed-off-by:
Xing Zhengjun <zhengjun.xing@linux.intel.com> Cc: Alexander Shishkin <alexander.shishkin@intel.com> Cc: Andi Kleen <ak@linux.intel.com> Cc: Ian Rogers <irogers@google.com> Cc: Ingo Molnar <mingo@redhat.com> Cc: Jiri Olsa <jolsa@kernel.org> Cc: Namhyung Kim <namhyung@kernel.org> Cc: Peter Zijlstra <peterz@infradead.org> Link: https://lore.kernel.org/r/20220614145019.2177071-2-zhengjun.xing@linux.intel.comSigned-off-by:
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Zhengjun Xing authored
Update JSON core/uncore events for broadwellx to perf. Based on BDX JSON list v19: https://download.01.org/perfmon/BDXReviewed-by:
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Zhengjun Xing authored
More uncore events are added in the converter tool: https://github.com/intel/event-converter-for-linux-perf Keep both alias and the original name for the events, in case someone already used the alias in their script. Generate the perf events based on Snowridgex(SNR) event list v1.20: https://download.01.org/perfmon/SNR/Signed-off-by:
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Zhengjun Xing authored
Tremontx was an old name for Snowridgex, so rename Tremontx to Snowridgex. Reviewed-by:
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Zhengjun Xing authored
Update JSON event list for Sapphirerapids to perf. Based on JSON list v1.02: https://download.01.org/perfmon/SPR/Signed-off-by:
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Zhengjun Xing authored
Update JSON event list for Alderlake to perf. It is a hybrid event list for both Atom and Core. Based on JSON list v1.11: https://download.01.org/perfmon/ADL/Signed-off-by:
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Colin Ian King authored
There is a spelling mistake in a pr_err message. Fix it. Signed-off-by:
Colin Ian King <colin.i.king@gmail.com> Acked-by:
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Yang Jihong authored
Implements workqueue trace bpf function. Test cases: # perf kwork -k workqueue lat -b Starting trace, Hit <Ctrl+C> to stop and report ^C Kwork Name | Cpu | Avg delay | Count | Max delay | Max delay start | Max delay end | -------------------------------------------------------------------------------------------------------------------------------- (w)addrconf_verify_work | 0002 | 5.856 ms | 1 | 5.856 ms | 111994.634313 s | 111994.640169 s | (w)vmstat_update | 0001 | 1.247 ms | 1 | 1.247 ms | 111996.462651 s | 111996.463899 s | (w)neigh_periodic_work | 0001 | 1.183 ms | 1 | 1.183 ms | 111996.462789 s | 111996.463973 s | (w)neigh_managed_work | 0001 | 0.989 ms | 2 | 1.635 ms | 111996.462820 s | 111996.464455 s | (w)wb_workfn | 0000 | 0.667 ms | 1 | 0.667 ms | 111996.384273 s | 111996.384940 s | (w)bpf_prog_free_deferred | 0001 | 0.495 ms | 1 | 0.495 ms | 111986.314201 s | 111986.314696 s | (w)mix_interrupt_randomness | 0002 | 0.421 ms | 6 | 0.749 ms | 111995.927750 s | 111995.928499 s | (w)vmstat_shepherd | 0000 | 0.374 ms | 2 | 0.385 ms | 111991.265242 s | 111991.265627 s | (w)e1000_watchdog | 0002 | 0.356 ms | 5 | 0.390 ms | 111994.528380 s | 111994.528770 s | (w)vmstat_update | 0000 | 0.231 ms | 2 | 0.365 ms | 111996.384407 s | 111996.384772 s | (w)flush_to_ldisc | 0006 | 0.165 ms | 1 | 0.165 ms | 111995.930606 s | 111995.930771 s | (w)flush_to_ldisc | 0000 | 0.094 ms | 2 | 0.095 ms | 111996.460453 s | 111996.460548 s | -------------------------------------------------------------------------------------------------------------------------------- # perf kwork -k workqueue rep -b Starting trace, Hit <Ctrl+C> to stop and report ^C Kwork Name | Cpu | Total Runtime | Count | Max runtime | Max runtime start | Max runtime end | -------------------------------------------------------------------------------------------------------------------------------- (w)e1000_watchdog | 0002 | 0.627 ms | 2 | 0.324 ms | 112002.720665 s | 112002.720989 s | (w)flush_to_ldisc | 0007 | 0.598 ms | 2 | 0.534 ms | 112000.875226 s | 112000.875761 s | (w)wq_barrier_func | 0007 | 0.492 ms | 1 | 0.492 ms | 112000.876981 s | 112000.877473 s | (w)flush_to_ldisc | 0007 | 0.281 ms | 1 | 0.281 ms | 112005.826882 s | 112005.827163 s | (w)mix_interrupt_randomness | 0002 | 0.229 ms | 3 | 0.102 ms | 112005.825671 s | 112005.825774 s | (w)vmstat_shepherd | 0000 | 0.202 ms | 1 | 0.202 ms | 112001.504511 s | 112001.504713 s | (w)bpf_prog_free_deferred | 0001 | 0.181 ms | 1 | 0.181 ms | 112000.883251 s | 112000.883432 s | (w)wb_workfn | 0007 | 0.130 ms | 1 | 0.130 ms | 112001.505195 s | 112001.505325 s | (w)vmstat_update | 0000 | 0.053 ms | 1 | 0.053 ms | 112001.504763 s | 112001.504815 s | -------------------------------------------------------------------------------------------------------------------------------- Signed-off-by:Yang Jihong <yangjihong1@huawei.com> Tested-by:
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Yang Jihong authored
Implements softirq trace bpf function. Test cases: Trace softirq latency without filter: # perf kwork -k softirq lat -b Starting trace, Hit <Ctrl+C> to stop and report ^C Kwork Name | Cpu | Avg delay | Count | Max delay | Max delay start | Max delay end | -------------------------------------------------------------------------------------------------------------------------------- (s)RCU:9 | 0005 | 0.281 ms | 3 | 0.338 ms | 111295.752222 s | 111295.752560 s | (s)RCU:9 | 0002 | 0.262 ms | 24 | 1.400 ms | 111301.335986 s | 111301.337386 s | (s)SCHED:7 | 0005 | 0.177 ms | 14 | 0.212 ms | 111295.752270 s | 111295.752481 s | (s)RCU:9 | 0007 | 0.161 ms | 47 | 2.022 ms | 111295.402159 s | 111295.404181 s | (s)NET_RX:3 | 0003 | 0.149 ms | 12 | 1.261 ms | 111301.192964 s | 111301.194225 s | (s)TIMER:1 | 0001 | 0.105 ms | 9 | 0.198 ms | 111301.180191 s | 111301.180389 s | ... <SNIP> ... (s)NET_RX:3 | 0002 | 0.098 ms | 6 | 0.124 ms | 111295.403760 s | 111295.403884 s | (s)SCHED:7 | 0001 | 0.093 ms | 19 | 0.242 ms | 111301.180256 s | 111301.180498 s | (s)SCHED:7 | 0007 | 0.078 ms | 15 | 0.188 ms | 111300.064226 s | 111300.064415 s | (s)SCHED:7 | 0004 | 0.077 ms | 11 | 0.213 ms | 111301.361759 s | 111301.361973 s | (s)SCHED:7 | 0000 | 0.063 ms | 33 | 0.805 ms | 111295.401811 s | 111295.402616 s | (s)SCHED:7 | 0003 | 0.063 ms | 14 | 0.085 ms | 111301.192255 s | 111301.192340 s | -------------------------------------------------------------------------------------------------------------------------------- Trace softirq latency with cpu filter: # perf kwork -k softirq lat -b -C 1 Starting trace, Hit <Ctrl+C> to stop and report ^C Kwork Name | Cpu | Avg delay | Count | Max delay | Max delay start | Max delay end | -------------------------------------------------------------------------------------------------------------------------------- (s)RCU:9 | 0001 | 0.178 ms | 5 | 0.572 ms | 111435.534135 s | 111435.534707 s | -------------------------------------------------------------------------------------------------------------------------------- Trace softirq latency with name filter: # perf kwork -k softirq lat -b -n SCHED Starting trace, Hit <Ctrl+C> to stop and report ^C Kwork Name | Cpu | Avg delay | Count | Max delay | Max delay start | Max delay end | -------------------------------------------------------------------------------------------------------------------------------- (s)SCHED:7 | 0001 | 0.295 ms | 15 | 2.183 ms | 111452.534950 s | 111452.537133 s | (s)SCHED:7 | 0002 | 0.215 ms | 10 | 0.315 ms | 111460.000238 s | 111460.000553 s | (s)SCHED:7 | 0005 | 0.190 ms | 29 | 0.338 ms | 111457.032538 s | 111457.032876 s | (s)SCHED:7 | 0003 | 0.097 ms | 10 | 0.319 ms | 111452.434351 s | 111452.434670 s | (s)SCHED:7 | 0006 | 0.089 ms | 1 | 0.089 ms | 111450.737450 s | 111450.737539 s | (s)SCHED:7 | 0007 | 0.085 ms | 17 | 0.169 ms | 111452.471333 s | 111452.471502 s | (s)SCHED:7 | 0004 | 0.071 ms | 15 | 0.221 ms | 111452.535252 s | 111452.535473 s | (s)SCHED:7 | 0000 | 0.044 ms | 32 | 0.130 ms | 111460.001982 s | 111460.002112 s | -------------------------------------------------------------------------------------------------------------------------------- Signed-off-by: -
Yang Jihong authored
Implements irq trace bpf function. Test cases: Trace irq without filter: # perf kwork -k irq rep -b Starting trace, Hit <Ctrl+C> to stop and report ^C Kwork Name | Cpu | Total Runtime | Count | Max runtime | Max runtime start | Max runtime end | -------------------------------------------------------------------------------------------------------------------------------- virtio0-requests:25 | 0000 | 31.026 ms | 285 | 1.493 ms | 110326.049963 s | 110326.051456 s | eth0:10 | 0002 | 7.875 ms | 96 | 1.429 ms | 110313.916835 s | 110313.918264 s | ata_piix:14 | 0002 | 2.510 ms | 28 | 0.396 ms | 110331.367987 s | 110331.368383 s | -------------------------------------------------------------------------------------------------------------------------------- Trace irq with cpu filter: # perf kwork -k irq rep -b -C 0 Starting trace, Hit <Ctrl+C> to stop and report ^C Kwork Name | Cpu | Total Runtime | Count | Max runtime | Max runtime start | Max runtime end | -------------------------------------------------------------------------------------------------------------------------------- virtio0-requests:25 | 0000 | 34.288 ms | 282 | 2.061 ms | 110358.078968 s | 110358.081029 s | -------------------------------------------------------------------------------------------------------------------------------- Trace irq with name filter: # perf kwork -k irq rep -b -n eth0 Starting trace, Hit <Ctrl+C> to stop and report ^C Kwork Name | Cpu | Total Runtime | Count | Max runtime | Max runtime start | Max runtime end | -------------------------------------------------------------------------------------------------------------------------------- eth0:10 | 0002 | 2.184 ms | 21 | 0.572 ms | 110386.541699 s | 110386.542271 s | -------------------------------------------------------------------------------------------------------------------------------- Trace irq with summary: # perf kwork -k irq rep -b -S Starting trace, Hit <Ctrl+C> to stop and report ^C Kwork Name | Cpu | Total Runtime | Count | Max runtime | Max runtime start | Max runtime end | -------------------------------------------------------------------------------------------------------------------------------- virtio0-requests:25 | 0000 | 42.923 ms | 285 | 1.181 ms | 110418.128867 s | 110418.130049 s | eth0:10 | 0002 | 2.085 ms | 20 | 0.668 ms | 110416.002935 s | 110416.003603 s | ata_piix:14 | 0002 | 0.970 ms | 4 | 0.656 ms | 110424.034482 s | 110424.035138 s | -------------------------------------------------------------------------------------------------------------------------------- Total count : 309 Total runtime (msec) : 45.977 (0.003% load average) Total time span (msec) : 17017.655 -------------------------------------------------------------------------------------------------------------------------------- Committer testing: # perf kwork -k irq rep -b Starting trace, Hit <Ctrl+C> to stop and report ^C Kwork Name | Cpu | Total Runtime | Count | Max runtime | Max runtime start | Max runtime end | -------------------------------------------------------------------------------------------------------------------------------- nvme0q20:145 | 0019 | 0.570 ms | 28 | 0.064 ms | 26966.635102 s | 26966.635167 s | amdgpu:162 | 0002 | 0.568 ms | 29 | 0.068 ms | 26966.644346 s | 26966.644414 s | nvme0q4:129 | 0003 | 0.565 ms | 31 | 0.037 ms | 26966.614830 s | 26966.614866 s | nvme0q16:141 | 0015 | 0.205 ms | 66 | 0.012 ms | 26967.145161 s | 26967.145174 s | nvme0q29:154 | 0028 | 0.154 ms | 44 | 0.014 ms | 26967.078970 s | 26967.078984 s | nvme0q10:135 | 0009 | 0.134 ms | 43 | 0.011 ms | 26967.132093 s | 26967.132104 s | nvme0q2:127 | 0001 | 0.132 ms | 26 | 0.011 ms | 26966.883584 s | 26966.883595 s | nvme0q25:150 | 0024 | 0.127 ms | 32 | 0.014 ms | 26966.631419 s | 26966.631433 s | nvme0q14:139 | 0013 | 0.110 ms | 21 | 0.017 ms | 26966.760843 s | 26966.760861 s | nvme0q30:155 | 0029 | 0.102 ms | 30 | 0.022 ms | 26966.677171 s | 26966.677193 s | nvme0q13:138 | 0012 | 0.088 ms | 20 | 0.015 ms | 26966.738733 s | 26966.738748 s | nvme0q6:131 | 0005 | 0.087 ms | 13 | 0.020 ms | 26966.648445 s | 26966.648465 s | nvme0q28:153 | 0027 | 0.066 ms | 12 | 0.015 ms | 26966.771431 s | 26966.771447 s | nvme0q26:151 | 0025 | 0.060 ms | 13 | 0.012 ms | 26966.704266 s | 26966.704278 s | nvme0q21:146 | 0020 | 0.054 ms | 20 | 0.011 ms | 26967.322082 s | 26967.322094 s | nvme0q1:126 | 0000 | 0.046 ms | 11 | 0.013 ms | 26966.859754 s | 26966.859767 s | nvme0q17:142 | 0016 | 0.046 ms | 10 | 0.011 ms | 26967.114513 s | 26967.114524 s | xhci_hcd:74 | 0015 | 0.041 ms | 3 | 0.016 ms | 26967.086004 s | 26967.086020 s | nvme0q8:133 | 0007 | 0.039 ms | 12 | 0.008 ms | 26966.712056 s | 26966.712063 s | nvme0q32:157 | 0031 | 0.036 ms | 10 | 0.014 ms | 26966.627054 s | 26966.627068 s | nvme0q9:134 | 0008 | 0.036 ms | 11 | 0.011 ms | 26967.258452 s | 26967.258462 s | nvme0q7:132 | 0006 | 0.024 ms | 3 | 0.014 ms | 26966.767404 s | 26966.767418 s | nvme0q11:136 | 0010 | 0.023 ms | 5 | 0.006 ms | 26966.935455 s | 26966.935461 s | nvme0q31:156 | 0030 | 0.018 ms | 5 | 0.006 ms | 26966.627517 s | 26966.627524 s | nvme0q12:137 | 0011 | 0.015 ms | 2 | 0.014 ms | 26966.799588 s | 26966.799602 s | enp5s0-rx-0:164 | 0006 | 0.009 ms | 2 | 0.005 ms | 26966.742024 s | 26966.742028 s | enp5s0-rx-1:165 | 0007 | 0.006 ms | 2 | 0.004 ms | 26966.939486 s | 26966.939490 s | enp5s0-tx-0:166 | 0008 | 0.005 ms | 1 | 0.005 ms | 26966.939484 s | 26966.939489 s | enp5s0-tx-1:167 | 0009 | 0.005 ms | 1 | 0.005 ms | 26966.939484 s | 26966.939489 s | -------------------------------------------------------------------------------------------------------------------------------- #t Signed-off-by:
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