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Conflicts:
drivers/net/ethernet/ibm/ibmvnic.c
Signed-off-by: Jakub Kicinski <kuba@kernel.org>
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Since some gcc generates a broken DWARF which lacks DW_AT_declaration
attribute from the subprogram DIE of function prototype.
(https://gcc.gnu.org/bugzilla/show_bug.cgi?id=97060)
So, in addition to the DW_AT_declaration check, we also check the
subprogram DIE has DW_AT_inline or actual entry pc.
Committer testing:
# cat /etc/fedora-release
Fedora release 33 (Thirty Three)
#
Before:
# perf test vfs_getname
78: Use vfs_getname probe to get syscall args filenames : FAILED!
79: Check open filename arg using perf trace + vfs_getname : FAILED!
81: Add vfs_getname probe to get syscall args filenames : FAILED!
#
After:
# perf test vfs_getname
78: Use vfs_getname probe to get syscall args filenames : Ok
79: Check open filename arg using perf trace + vfs_getname : Ok
81: Add vfs_getname probe to get syscall args filenames : Ok
#
Reported-by: Thomas Richter <tmricht@linux.ibm.com>
Signed-off-by: Masami Hiramatsu <mhiramat@kernel.org>
Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com>
Cc: Sumanth Korikkar <sumanthk@linux.ibm.com>
Link: http://lore.kernel.org/lkml/160645613571.2824037.7441351537890235895.stgit@devnote2
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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Fix die_entrypc() to return error correctly if the DIE has no
DW_AT_ranges attribute. Since dwarf_ranges() will treat the case as an
empty ranges and return 0, we have to check it by ourselves.
Fixes: 91e2f539eeda ("perf probe: Fix to show function entry line as probe-able")
Signed-off-by: Masami Hiramatsu <mhiramat@kernel.org>
Cc: Sumanth Korikkar <sumanthk@linux.ibm.com>
Cc: Thomas Richter <tmricht@linux.ibm.com>
Link: http://lore.kernel.org/lkml/160645612634.2824037.5284932731175079426.stgit@devnote2
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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Currently perf stat shows some metrics (like IPC) for defined events.
But when no aggregation mode is used (-A option), it shows incorrect
values since it used a value from a different cpu.
Before:
$ perf stat -aA -e cycles,instructions sleep 1
Performance counter stats for 'system wide':
CPU0 116,057,380 cycles
CPU1 86,084,722 cycles
CPU2 99,423,125 cycles
CPU3 98,272,994 cycles
CPU0 53,369,217 instructions # 0.46 insn per cycle
CPU1 33,378,058 instructions # 0.29 insn per cycle
CPU2 58,150,086 instructions # 0.50 insn per cycle
CPU3 40,029,703 instructions # 0.34 insn per cycle
1.001816971 seconds time elapsed
So the IPC for CPU1 should be 0.38 (= 33,378,058 / 86,084,722)
but it was 0.29 (= 33,378,058 / 116,057,380) and so on.
After:
$ perf stat -aA -e cycles,instructions sleep 1
Performance counter stats for 'system wide':
CPU0 109,621,384 cycles
CPU1 159,026,454 cycles
CPU2 99,460,366 cycles
CPU3 124,144,142 cycles
CPU0 44,396,706 instructions # 0.41 insn per cycle
CPU1 120,195,425 instructions # 0.76 insn per cycle
CPU2 44,763,978 instructions # 0.45 insn per cycle
CPU3 69,049,079 instructions # 0.56 insn per cycle
1.001910444 seconds time elapsed
Fixes: 44d49a600259 ("perf stat: Support metrics in --per-core/socket mode")
Reported-by: Sam Xi <xyzsam@google.com>
Signed-off-by: Namhyung Kim <namhyung@kernel.org>
Reviewed-by: Andi Kleen <ak@linux.intel.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Ian Rogers <irogers@google.com>
Cc: Mark Rutland <mark.rutland@arm.com>
Cc: Peter Zijlstra <peterz@infradead.org>
Cc: Stephane Eranian <eranian@google.com>
Link: http://lore.kernel.org/lkml/20201127041404.390276-1-namhyung@kernel.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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It didn't check the tool->cgroup_events bit which is set when the
--all-cgroups option is given. Without it, samples will not have cgroup
info so no reason to synthesize.
We can check the PERF_RECORD_CGROUP records after running perf record
*WITHOUT* the --all-cgroups option:
Before:
$ perf report -D | grep CGROUP
0 0 0x8430 [0x38]: PERF_RECORD_CGROUP cgroup: 1 /
CGROUP events: 1
CGROUP events: 0
CGROUP events: 0
After:
$ perf report -D | grep CGROUP
CGROUP events: 0
CGROUP events: 0
CGROUP events: 0
Committer testing:
Before:
# perf record -a sleep 1
[ perf record: Woken up 1 times to write data ]
[ perf record: Captured and wrote 2.208 MB perf.data (10003 samples) ]
# perf report -D | grep "CGROUP events"
CGROUP events: 146
CGROUP events: 0
CGROUP events: 0
#
After:
# perf record -a sleep 1
[ perf record: Woken up 1 times to write data ]
[ perf record: Captured and wrote 2.208 MB perf.data (10448 samples) ]
# perf report -D | grep "CGROUP events"
CGROUP events: 0
CGROUP events: 0
CGROUP events: 0
#
With all-cgroups:
# perf record --all-cgroups -a sleep 1
[ perf record: Woken up 1 times to write data ]
[ perf record: Captured and wrote 2.374 MB perf.data (11526 samples) ]
# perf report -D | grep "CGROUP events"
CGROUP events: 146
CGROUP events: 0
CGROUP events: 0
#
Fixes: 8fb4b67939e16 ("perf record: Add --all-cgroups option")
Signed-off-by: Namhyung Kim <namhyung@kernel.org>
Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Ian Rogers <irogers@google.com>
Cc: Mark Rutland <mark.rutland@arm.com>
Cc: Peter Zijlstra <peterz@infradead.org>
Cc: Stephane Eranian <eranian@google.com>
Link: http://lore.kernel.org/lkml/20201127054356.405481-1-namhyung@kernel.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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An appropriate return value should be set on the failed path.
Fixes: 2a09a84c720b436a ("perf diff: Support hot streams comparison")
Reported-by: Hulk Robot <hulkci@huawei.com>
Signed-off-by: Zhen Lei <thunder.leizhen@huawei.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Acked-by: Namhyung Kim <namhyung@kernel.org>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Jin Yao <yao.jin@linux.intel.com>
Cc: Mark Rutland <mark.rutland@arm.com>
Cc: Peter Zijlstra <peterz@infradead.org>
Link: http://lore.kernel.org/lkml/20201124103652.438-1-thunder.leizhen@huawei.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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To pick the changes in:
7a078d2d18801bba ("libbpf, hashmap: Fix undefined behavior in hash_bits")
That don't entail any changes in tools/perf.
This addresses this perf build warning:
Warning: Kernel ABI header at 'tools/perf/util/hashmap.h' differs from latest version at 'tools/lib/bpf/hashmap.h'
diff -u tools/perf/util/hashmap.h tools/lib/bpf/hashmap.h
Not a kernel ABI, its just that this uses the mechanism in place for
checking kernel ABI files drift.
Cc: Adrian Hunter <adrian.hunter@intel.com>
Cc: Daniel Borkmann <daniel@iogearbox.net>
Cc: Ian Rogers <irogers@google.com>
Cc: Jiri Olsa <jolsa@kernel.org>
Cc: Namhyung Kim <namhyung@kernel.org>
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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Signed-off-by: Jakub Kicinski <kuba@kernel.org>
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This fix is for a failure that occurred in the DWARF unwind perf test.
Stack unwinders may probe memory when looking for frames.
Memory sanitizer will poison and track uninitialized memory on the
stack, and on the heap if the value is copied to the heap.
This can lead to false memory sanitizer failures for the use of an
uninitialized value.
Avoid this problem by removing the poison on the copied stack.
The full msan failure with track origins looks like:
==2168==WARNING: MemorySanitizer: use-of-uninitialized-value
#0 0x559ceb10755b in handle_cfi elfutils/libdwfl/frame_unwind.c:648:8
#1 0x559ceb105448 in __libdwfl_frame_unwind elfutils/libdwfl/frame_unwind.c:741:4
#2 0x559ceb0ece90 in dwfl_thread_getframes elfutils/libdwfl/dwfl_frame.c:435:7
#3 0x559ceb0ec6b7 in get_one_thread_frames_cb elfutils/libdwfl/dwfl_frame.c:379:10
#4 0x559ceb0ec6b7 in get_one_thread_cb elfutils/libdwfl/dwfl_frame.c:308:17
#5 0x559ceb0ec6b7 in dwfl_getthreads elfutils/libdwfl/dwfl_frame.c:283:17
#6 0x559ceb0ec6b7 in getthread elfutils/libdwfl/dwfl_frame.c:354:14
#7 0x559ceb0ec6b7 in dwfl_getthread_frames elfutils/libdwfl/dwfl_frame.c:388:10
#8 0x559ceaff6ae6 in unwind__get_entries tools/perf/util/unwind-libdw.c:236:8
#9 0x559ceabc9dbc in test_dwarf_unwind__thread tools/perf/tests/dwarf-unwind.c:111:8
#10 0x559ceabca5cf in test_dwarf_unwind__compare tools/perf/tests/dwarf-unwind.c:138:26
#11 0x7f812a6865b0 in bsearch (libc.so.6+0x4e5b0)
#12 0x559ceabca871 in test_dwarf_unwind__krava_3 tools/perf/tests/dwarf-unwind.c:162:2
#13 0x559ceabca926 in test_dwarf_unwind__krava_2 tools/perf/tests/dwarf-unwind.c:169:9
#14 0x559ceabca946 in test_dwarf_unwind__krava_1 tools/perf/tests/dwarf-unwind.c:174:9
#15 0x559ceabcae12 in test__dwarf_unwind tools/perf/tests/dwarf-unwind.c:211:8
#16 0x559ceabbc4ab in run_test tools/perf/tests/builtin-test.c:418:9
#17 0x559ceabbc4ab in test_and_print tools/perf/tests/builtin-test.c:448:9
#18 0x559ceabbac70 in __cmd_test tools/perf/tests/builtin-test.c:669:4
#19 0x559ceabbac70 in cmd_test tools/perf/tests/builtin-test.c:815:9
#20 0x559cea960e30 in run_builtin tools/perf/perf.c:313:11
#21 0x559cea95fbce in handle_internal_command tools/perf/perf.c:365:8
#22 0x559cea95fbce in run_argv tools/perf/perf.c:409:2
#23 0x559cea95fbce in main tools/perf/perf.c:539:3
Uninitialized value was stored to memory at
#0 0x559ceb106acf in __libdwfl_frame_reg_set elfutils/libdwfl/frame_unwind.c:77:22
#1 0x559ceb106acf in handle_cfi elfutils/libdwfl/frame_unwind.c:627:13
#2 0x559ceb105448 in __libdwfl_frame_unwind elfutils/libdwfl/frame_unwind.c:741:4
#3 0x559ceb0ece90 in dwfl_thread_getframes elfutils/libdwfl/dwfl_frame.c:435:7
#4 0x559ceb0ec6b7 in get_one_thread_frames_cb elfutils/libdwfl/dwfl_frame.c:379:10
#5 0x559ceb0ec6b7 in get_one_thread_cb elfutils/libdwfl/dwfl_frame.c:308:17
#6 0x559ceb0ec6b7 in dwfl_getthreads elfutils/libdwfl/dwfl_frame.c:283:17
#7 0x559ceb0ec6b7 in getthread elfutils/libdwfl/dwfl_frame.c:354:14
#8 0x559ceb0ec6b7 in dwfl_getthread_frames elfutils/libdwfl/dwfl_frame.c:388:10
#9 0x559ceaff6ae6 in unwind__get_entries tools/perf/util/unwind-libdw.c:236:8
#10 0x559ceabc9dbc in test_dwarf_unwind__thread tools/perf/tests/dwarf-unwind.c:111:8
#11 0x559ceabca5cf in test_dwarf_unwind__compare tools/perf/tests/dwarf-unwind.c:138:26
#12 0x7f812a6865b0 in bsearch (libc.so.6+0x4e5b0)
#13 0x559ceabca871 in test_dwarf_unwind__krava_3 tools/perf/tests/dwarf-unwind.c:162:2
#14 0x559ceabca926 in test_dwarf_unwind__krava_2 tools/perf/tests/dwarf-unwind.c:169:9
#15 0x559ceabca946 in test_dwarf_unwind__krava_1 tools/perf/tests/dwarf-unwind.c:174:9
#16 0x559ceabcae12 in test__dwarf_unwind tools/perf/tests/dwarf-unwind.c:211:8
#17 0x559ceabbc4ab in run_test tools/perf/tests/builtin-test.c:418:9
#18 0x559ceabbc4ab in test_and_print tools/perf/tests/builtin-test.c:448:9
#19 0x559ceabbac70 in __cmd_test tools/perf/tests/builtin-test.c:669:4
#20 0x559ceabbac70 in cmd_test tools/perf/tests/builtin-test.c:815:9
#21 0x559cea960e30 in run_builtin tools/perf/perf.c:313:11
#22 0x559cea95fbce in handle_internal_command tools/perf/perf.c:365:8
#23 0x559cea95fbce in run_argv tools/perf/perf.c:409:2
#24 0x559cea95fbce in main tools/perf/perf.c:539:3
Uninitialized value was stored to memory at
#0 0x559ceb106a54 in handle_cfi elfutils/libdwfl/frame_unwind.c:613:9
#1 0x559ceb105448 in __libdwfl_frame_unwind elfutils/libdwfl/frame_unwind.c:741:4
#2 0x559ceb0ece90 in dwfl_thread_getframes elfutils/libdwfl/dwfl_frame.c:435:7
#3 0x559ceb0ec6b7 in get_one_thread_frames_cb elfutils/libdwfl/dwfl_frame.c:379:10
#4 0x559ceb0ec6b7 in get_one_thread_cb elfutils/libdwfl/dwfl_frame.c:308:17
#5 0x559ceb0ec6b7 in dwfl_getthreads elfutils/libdwfl/dwfl_frame.c:283:17
#6 0x559ceb0ec6b7 in getthread elfutils/libdwfl/dwfl_frame.c:354:14
#7 0x559ceb0ec6b7 in dwfl_getthread_frames elfutils/libdwfl/dwfl_frame.c:388:10
#8 0x559ceaff6ae6 in unwind__get_entries tools/perf/util/unwind-libdw.c:236:8
#9 0x559ceabc9dbc in test_dwarf_unwind__thread tools/perf/tests/dwarf-unwind.c:111:8
#10 0x559ceabca5cf in test_dwarf_unwind__compare tools/perf/tests/dwarf-unwind.c:138:26
#11 0x7f812a6865b0 in bsearch (libc.so.6+0x4e5b0)
#12 0x559ceabca871 in test_dwarf_unwind__krava_3 tools/perf/tests/dwarf-unwind.c:162:2
#13 0x559ceabca926 in test_dwarf_unwind__krava_2 tools/perf/tests/dwarf-unwind.c:169:9
#14 0x559ceabca946 in test_dwarf_unwind__krava_1 tools/perf/tests/dwarf-unwind.c:174:9
#15 0x559ceabcae12 in test__dwarf_unwind tools/perf/tests/dwarf-unwind.c:211:8
#16 0x559ceabbc4ab in run_test tools/perf/tests/builtin-test.c:418:9
#17 0x559ceabbc4ab in test_and_print tools/perf/tests/builtin-test.c:448:9
#18 0x559ceabbac70 in __cmd_test tools/perf/tests/builtin-test.c:669:4
#19 0x559ceabbac70 in cmd_test tools/perf/tests/builtin-test.c:815:9
#20 0x559cea960e30 in run_builtin tools/perf/perf.c:313:11
#21 0x559cea95fbce in handle_internal_command tools/perf/perf.c:365:8
#22 0x559cea95fbce in run_argv tools/perf/perf.c:409:2
#23 0x559cea95fbce in main tools/perf/perf.c:539:3
Uninitialized value was stored to memory at
#0 0x559ceaff8800 in memory_read tools/perf/util/unwind-libdw.c:156:10
#1 0x559ceb10f053 in expr_eval elfutils/libdwfl/frame_unwind.c:501:13
#2 0x559ceb1060cc in handle_cfi elfutils/libdwfl/frame_unwind.c:603:18
#3 0x559ceb105448 in __libdwfl_frame_unwind elfutils/libdwfl/frame_unwind.c:741:4
#4 0x559ceb0ece90 in dwfl_thread_getframes elfutils/libdwfl/dwfl_frame.c:435:7
#5 0x559ceb0ec6b7 in get_one_thread_frames_cb elfutils/libdwfl/dwfl_frame.c:379:10
#6 0x559ceb0ec6b7 in get_one_thread_cb elfutils/libdwfl/dwfl_frame.c:308:17
#7 0x559ceb0ec6b7 in dwfl_getthreads elfutils/libdwfl/dwfl_frame.c:283:17
#8 0x559ceb0ec6b7 in getthread elfutils/libdwfl/dwfl_frame.c:354:14
#9 0x559ceb0ec6b7 in dwfl_getthread_frames elfutils/libdwfl/dwfl_frame.c:388:10
#10 0x559ceaff6ae6 in unwind__get_entries tools/perf/util/unwind-libdw.c:236:8
#11 0x559ceabc9dbc in test_dwarf_unwind__thread tools/perf/tests/dwarf-unwind.c:111:8
#12 0x559ceabca5cf in test_dwarf_unwind__compare tools/perf/tests/dwarf-unwind.c:138:26
#13 0x7f812a6865b0 in bsearch (libc.so.6+0x4e5b0)
#14 0x559ceabca871 in test_dwarf_unwind__krava_3 tools/perf/tests/dwarf-unwind.c:162:2
#15 0x559ceabca926 in test_dwarf_unwind__krava_2 tools/perf/tests/dwarf-unwind.c:169:9
#16 0x559ceabca946 in test_dwarf_unwind__krava_1 tools/perf/tests/dwarf-unwind.c:174:9
#17 0x559ceabcae12 in test__dwarf_unwind tools/perf/tests/dwarf-unwind.c:211:8
#18 0x559ceabbc4ab in run_test tools/perf/tests/builtin-test.c:418:9
#19 0x559ceabbc4ab in test_and_print tools/perf/tests/builtin-test.c:448:9
#20 0x559ceabbac70 in __cmd_test tools/perf/tests/builtin-test.c:669:4
#21 0x559ceabbac70 in cmd_test tools/perf/tests/builtin-test.c:815:9
#22 0x559cea960e30 in run_builtin tools/perf/perf.c:313:11
#23 0x559cea95fbce in handle_internal_command tools/perf/perf.c:365:8
#24 0x559cea95fbce in run_argv tools/perf/perf.c:409:2
#25 0x559cea95fbce in main tools/perf/perf.c:539:3
Uninitialized value was stored to memory at
#0 0x559cea9027d9 in __msan_memcpy llvm/llvm-project/compiler-rt/lib/msan/msan_interceptors.cpp:1558:3
#1 0x559cea9d2185 in sample_ustack tools/perf/arch/x86/tests/dwarf-unwind.c:41:2
#2 0x559cea9d202c in test__arch_unwind_sample tools/perf/arch/x86/tests/dwarf-unwind.c:72:9
#3 0x559ceabc9cbd in test_dwarf_unwind__thread tools/perf/tests/dwarf-unwind.c:106:6
#4 0x559ceabca5cf in test_dwarf_unwind__compare tools/perf/tests/dwarf-unwind.c:138:26
#5 0x7f812a6865b0 in bsearch (libc.so.6+0x4e5b0)
#6 0x559ceabca871 in test_dwarf_unwind__krava_3 tools/perf/tests/dwarf-unwind.c:162:2
#7 0x559ceabca926 in test_dwarf_unwind__krava_2 tools/perf/tests/dwarf-unwind.c:169:9
#8 0x559ceabca946 in test_dwarf_unwind__krava_1 tools/perf/tests/dwarf-unwind.c:174:9
#9 0x559ceabcae12 in test__dwarf_unwind tools/perf/tests/dwarf-unwind.c:211:8
#10 0x559ceabbc4ab in run_test tools/perf/tests/builtin-test.c:418:9
#11 0x559ceabbc4ab in test_and_print tools/perf/tests/builtin-test.c:448:9
#12 0x559ceabbac70 in __cmd_test tools/perf/tests/builtin-test.c:669:4
#13 0x559ceabbac70 in cmd_test tools/perf/tests/builtin-test.c:815:9
#14 0x559cea960e30 in run_builtin tools/perf/perf.c:313:11
#15 0x559cea95fbce in handle_internal_command tools/perf/perf.c:365:8
#16 0x559cea95fbce in run_argv tools/perf/perf.c:409:2
#17 0x559cea95fbce in main tools/perf/perf.c:539:3
Uninitialized value was created by an allocation of 'bf' in the stack frame of function 'perf_event__synthesize_mmap_events'
#0 0x559ceafc5f60 in perf_event__synthesize_mmap_events tools/perf/util/synthetic-events.c:445
SUMMARY: MemorySanitizer: use-of-uninitialized-value elfutils/libdwfl/frame_unwind.c:648:8 in handle_cfi
Signed-off-by: Ian Rogers <irogers@google.com>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: clang-built-linux@googlegroups.com
Cc: Jiri Olsa <jolsa@redhat.com>
Cc: Mark Rutland <mark.rutland@arm.com>
Cc: Namhyung Kim <namhyung@kernel.org>
Cc: Peter Zijlstra <peterz@infradead.org>
Cc: Sandeep Dasgupta <sdasgup@google.com>
Cc: Stephane Eranian <eranian@google.com>
Link: http://lore.kernel.org/lkml/20201113182053.754625-1-irogers@google.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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"perf inject" can create corrupt files when synthesizing sample events from AUX
data. This happens when in the input file, the first event (for the AUX data)
has a different sample_type from the second event (generally dummy).
Specifically, they differ in the bits that indicate the standard fields
appended to perf records in the mmap buffer. "perf inject" deletes the first
event and moves up the second event to first position.
The problem is with the synthetic PERF_RECORD_MMAP (etc.) events created
by "perf record".
Since these are synthetic versions of events which are normally produced
by the kernel, they have to have the standard fields appended as
described by sample_type.
"perf record" fills these in with zeroes, including the IDENTIFIER
field; perf readers interpret records with zero IDENTIFIER using the
descriptor for the first event in the file.
Since "perf inject" changes the first event, these synthetic records are
then processed with the wrong value of sample_type, and the perf reader
reads bad data, reports on incorrect length records etc.
Mismatching sample_types are seen with "perf record -e cs_etm//", where the AUX
event has TID|TIME|CPU|IDENTIFIER and the dummy event has TID|TIME|IDENTIFIER.
Perhaps they could be the same, but it isn't normally a problem if they aren't
- perf has no problems reading the file.
The sample_types have to agree on the position of IDENTIFIER, because
that's how perf finds the right event descriptor in the first place, but
they don't normally have to agree on other fields, and perf doesn't
check that they do.
The problem is specific to the way "perf inject" reorganizes the events
and the way synthetic MMAP events are recorded with a zero identifier. A
simple solution is to stop "perf inject" deleting the tracing event.
Committer testing
Removed the now unused 'evsel' variable, update the comment about the
evsel removal not being performed anymore, and apply the patch manually
as it failed with this warning:
warning: Patch sent with format=flowed; space at the end of lines might be lost.
Testing it with:
$ perf bench internals inject-build-id
# Running 'internals/inject-build-id' benchmark:
Average build-id injection took: 8.543 msec (+- 0.130 msec)
Average time per event: 0.838 usec (+- 0.013 usec)
Average memory usage: 12717 KB (+- 9 KB)
Average build-id-all injection took: 5.710 msec (+- 0.058 msec)
Average time per event: 0.560 usec (+- 0.006 usec)
Average memory usage: 12079 KB (+- 7 KB)
$
Signed-off-by: Al Grant <al.grant@arm.com>
Acked-by: Adrian Hunter <adrian.hunter@intel.com>
Acked-by: Namhyung Kim <namhyung@kernel.org>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Jiri Olsa <jolsa@redhat.com>
Cc: Mark Rutland <mark.rutland@arm.com>
Cc: Peter Zijlstra <peterz@infradead.org>
LPU-Reference: b9cf5611-daae-2390-3439-6617f8f0a34b@foss.arm.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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Since the commit 943b69ac1884 ("perf parse-events: Set exclude_guest=1
for user-space counting"), 'exclude_guest=1' is set for user-space
counting; and the branch sample's modifier has been altered, the sample
event name has been changed from "branches:u:" to "branches:uH:", which
gives out info for "user-space and host counting".
But the cs-etm testing's regular expression cannot match the updated
branch sample event and leads to test failure.
This patch updates the branch sample pattern by using a more flexible
expression '.*' to match branch sample's modifiers, so that allows the
testing to work as expected.
Fixes: 943b69ac1884 ("perf parse-events: Set exclude_guest=1 for user-space counting")
Signed-off-by: Leo Yan <leo.yan@linaro.org>
Reviewed-by: Mathieu Poirier <mathieu.poirier@linaro.org>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Jin Yao <yao.jin@linux.intel.com>
Cc: Jiri Olsa <jolsa@redhat.com>
Cc: Mark Rutland <mark.rutland@arm.com>
Cc: Mike Leach <mike.leach@linaro.org>
Cc: Namhyung Kim <namhyung@kernel.org>
Cc: Peter Zijlstra <peterz@infradead.org>
Cc: Suzuki Poulouse <suzuki.poulose@arm.com>
Cc: coresight ml <coresight@lists.linaro.org>
Cc: stable@kernel.org
Link: http://lore.kernel.org/lkml/20201110063417.14467-2-leo.yan@linaro.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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Fix a typo: s/devce_name/device_name.
Fixes: fe0aed19b266 ("perf test: Introduce script for Arm CoreSight testing")
Signed-off-by: Leo Yan <leo.yan@linaro.org>
Reviewed-by: Mathieu Poirier <mathieu.poirier@linaro.org>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Jin Yao <yao.jin@linux.intel.com>
Cc: Jiri Olsa <jolsa@redhat.com>
Cc: Mark Rutland <mark.rutland@arm.com>
Cc: Mike Leach <mike.leach@linaro.org>
Cc: Namhyung Kim <namhyung@kernel.org>
Cc: Peter Zijlstra <peterz@infradead.org>
Cc: Suzuki Poulouse <suzuki.poulose@arm.com>
Cc: coresight ml <coresight@lists.linaro.org>
Cc: stable@kernel.org
Link: http://lore.kernel.org/lkml/20201110063417.14467-1-leo.yan@linaro.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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mem memcpy'
To bring in the change made in this cset:
4d6ffa27b8e5116c ("x86/lib: Change .weak to SYM_FUNC_START_WEAK for arch/x86/lib/mem*_64.S")
6dcc5627f6aec4cb ("x86/asm: Change all ENTRY+ENDPROC to SYM_FUNC_*")
I needed to define SYM_FUNC_START_LOCAL() as SYM_L_GLOBAL as
mem{cpy,set}_{orig,erms} are used by 'perf bench'.
This silences these perf tools build warnings:
Warning: Kernel ABI header at 'tools/arch/x86/lib/memcpy_64.S' differs from latest version at 'arch/x86/lib/memcpy_64.S'
diff -u tools/arch/x86/lib/memcpy_64.S arch/x86/lib/memcpy_64.S
Warning: Kernel ABI header at 'tools/arch/x86/lib/memset_64.S' differs from latest version at 'arch/x86/lib/memset_64.S'
diff -u tools/arch/x86/lib/memset_64.S arch/x86/lib/memset_64.S
Cc: Adrian Hunter <adrian.hunter@intel.com>
Cc: Borislav Petkov <bp@suse.de>
Cc: Fangrui Song <maskray@google.com>
Cc: Ian Rogers <irogers@google.com>
Cc: Jiri Olsa <jolsa@kernel.org>
Cc: Jiri Slaby <jirislaby@kernel.org>
Cc: Namhyung Kim <namhyung@kernel.org>
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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When execute command "perf lock report", it hits failure and outputs log
as follows:
perf: builtin-lock.c:623: report_lock_release_event: Assertion `!(seq->read_count < 0)' failed.
Aborted
This is an imbalance issue. The locking sequence structure
"lock_seq_stat" contains the reader counter and it is used to check if
the locking sequence is balance or not between acquiring and releasing.
If the tool wrongly frees "lock_seq_stat" when "read_count" isn't zero,
the "read_count" will be reset to zero when allocate a new structure at
the next time; thus it causes the wrong counting for reader and finally
results in imbalance issue.
To fix this issue, if detects "read_count" is not zero (means still have
read user in the locking sequence), goto the "end" tag to skip freeing
structure "lock_seq_stat".
Fixes: e4cef1f65061 ("perf lock: Fix state machine to recognize lock sequence")
Signed-off-by: Leo Yan <leo.yan@linaro.org>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Link: https://lore.kernel.org/r/20201104094229.17509-2-leo.yan@linaro.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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The tracepoint "lock:lock_acquire" contains field "flags" but not
"flag". Current code wrongly retrieves value from field "flag" and it
always gets zero for the value, thus "perf lock" doesn't report the
correct result.
This patch replaces the field name "flag" with "flags", so can read out
the correct flags for locking.
Fixes: e4cef1f65061 ("perf lock: Fix state machine to recognize lock sequence")
Signed-off-by: Leo Yan <leo.yan@linaro.org>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Link: https://lore.kernel.org/r/20201104094229.17509-1-leo.yan@linaro.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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Daniel Borkmann says:
====================
pull-request: bpf-next 2020-11-14
1) Add BTF generation for kernel modules and extend BTF infra in kernel
e.g. support for split BTF loading and validation, from Andrii Nakryiko.
2) Support for pointers beyond pkt_end to recognize LLVM generated patterns
on inlined branch conditions, from Alexei Starovoitov.
3) Implements bpf_local_storage for task_struct for BPF LSM, from KP Singh.
4) Enable FENTRY/FEXIT/RAW_TP tracing program to use the bpf_sk_storage
infra, from Martin KaFai Lau.
5) Add XDP bulk APIs that introduce a defer/flush mechanism to optimize the
XDP_REDIRECT path, from Lorenzo Bianconi.
6) Fix a potential (although rather theoretical) deadlock of hashtab in NMI
context, from Song Liu.
7) Fixes for cross and out-of-tree build of bpftool and runqslower allowing build
for different target archs on same source tree, from Jean-Philippe Brucker.
8) Fix error path in htab_map_alloc() triggered from syzbot, from Eric Dumazet.
9) Move functionality from test_tcpbpf_user into the test_progs framework so it
can run in BPF CI, from Alexander Duyck.
10) Lift hashtab key_size limit to be larger than MAX_BPF_STACK, from Florian Lehner.
Note that for the fix from Song we have seen a sparse report on context
imbalance which requires changes in sparse itself for proper annotation
detection where this is currently being discussed on linux-sparse among
developers [0]. Once we have more clarification/guidance after their fix,
Song will follow-up.
[0] https://lore.kernel.org/linux-sparse/CAHk-=wh4bx8A8dHnX612MsDO13st6uzAz1mJ1PaHHVevJx_ZCw@mail.gmail.com/T/
https://lore.kernel.org/linux-sparse/20201109221345.uklbp3lzgq6g42zb@ltop.local/T/
* git://git.kernel.org/pub/scm/linux/kernel/git/bpf/bpf-next: (66 commits)
net: mlx5: Add xdp tx return bulking support
net: mvpp2: Add xdp tx return bulking support
net: mvneta: Add xdp tx return bulking support
net: page_pool: Add bulk support for ptr_ring
net: xdp: Introduce bulking for xdp tx return path
bpf: Expose bpf_d_path helper to sleepable LSM hooks
bpf: Augment the set of sleepable LSM hooks
bpf: selftest: Use bpf_sk_storage in FENTRY/FEXIT/RAW_TP
bpf: Allow using bpf_sk_storage in FENTRY/FEXIT/RAW_TP
bpf: Rename some functions in bpf_sk_storage
bpf: Folding omem_charge() into sk_storage_charge()
selftests/bpf: Add asm tests for pkt vs pkt_end comparison.
selftests/bpf: Add skb_pkt_end test
bpf: Support for pointers beyond pkt_end.
tools/bpf: Always run the *-clean recipes
tools/bpf: Add bootstrap/ to .gitignore
bpf: Fix NULL dereference in bpf_task_storage
tools/bpftool: Fix build slowdown
tools/runqslower: Build bpftool using HOSTCC
tools/runqslower: Enable out-of-tree build
...
====================
Link: https://lore.kernel.org/r/20201114020819.29584-1-daniel@iogearbox.net
Signed-off-by: Jakub Kicinski <kuba@kernel.org>
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Several Makefiles in tools/ need to define the host toolchain variables.
Move their definition to tools/scripts/Makefile.include
Signed-off-by: Jean-Philippe Brucker <jean-philippe@linaro.org>
Signed-off-by: Andrii Nakryiko <andrii@kernel.org>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com>
Link: https://lore.kernel.org/bpf/20201110164310.2600671-2-jean-philippe@linaro.org
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It was missed to add a swap function for PERF_RECORD_CGROUP.
Fixes: ba78c1c5461c ("perf tools: Basic support for CGROUP event")
Signed-off-by: Namhyung Kim <namhyung@kernel.org>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Ian Rogers <irogers@google.com>
Cc: Mark Rutland <mark.rutland@arm.com>
Cc: Peter Zijlstra <peterz@infradead.org>
Cc: Stephane Eranian <eranian@google.com>
Link: http://lore.kernel.org/lkml/20201102140228.303657-1-namhyung@kernel.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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We are missing swap for ino_generation field.
Fixes: 5c5e854bc760 ("perf tools: Add attr->mmap2 support")
Signed-off-by: Jiri Olsa <jolsa@kernel.org>
Acked-by: Namhyung Kim <namhyung@kernel.org>
Link: https://lore.kernel.org/r/20201101233103.3537427-2-jolsa@kernel.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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We display garbage for undefined build_id objects, because we don't
initialize the output buffer.
Signed-off-by: Jiri Olsa <jolsa@kernel.org>
Acked-by: Namhyung Kim <namhyung@kernel.org>
Link: https://lore.kernel.org/r/20201101233103.3537427-1-jolsa@kernel.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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Making perf with gcc-9.1.1 generates the following warning:
CC ui/browsers/hists.o
ui/browsers/hists.c: In function 'perf_evsel__hists_browse':
ui/browsers/hists.c:3078:61: error: '%d' directive output may be \
truncated writing between 1 and 11 bytes into a region of size \
between 2 and 12 [-Werror=format-truncation=]
3078 | "Max event group index to sort is %d (index from 0 to %d)",
| ^~
ui/browsers/hists.c:3078:7: note: directive argument in the range [-2147483648, 8]
3078 | "Max event group index to sort is %d (index from 0 to %d)",
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/include/stdio.h:937,
from ui/browsers/hists.c:5:
IOW, the string in line 3078 might be too long for buf[] of 64 bytes.
Fix this by increasing the size of buf[] to 128.
Fixes: dbddf1747441 ("perf report/top TUI: Support hotkeys to let user select any event for sorting")
Signed-off-by: Song Liu <songliubraving@fb.com>
Acked-by: Jiri Olsa <jolsa@kernel.org>
Cc: Jin Yao <yao.jin@linux.intel.com>
Cc: stable@vger.kernel.org # v5.7+
Link: http://lore.kernel.org/lkml/20201030235431.534417-1-songliubraving@fb.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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attribute
To avoid this:
util/scripting-engines/trace-event-python.c: In function 'python_start_script':
util/scripting-engines/trace-event-python.c:1595:2: error: 'visibility' attribute ignored [-Werror=attributes]
1595 | PyMODINIT_FUNC (*initfunc)(void);
| ^~~~~~~~~~~~~~
That started breaking when building with PYTHON=python3 and these gcc
versions (I haven't checked with the clang ones, maybe it breaks there
as well):
# export PERF_TARBALL=http://192.168.86.5/perf/perf-5.9.0.tar.xz
# dm fedora:33 fedora:rawhide
1 107.80 fedora:33 : Ok gcc (GCC) 10.2.1 20201005 (Red Hat 10.2.1-5), clang version 11.0.0 (Fedora 11.0.0-1.fc33)
2 92.47 fedora:rawhide : Ok gcc (GCC) 10.2.1 20201016 (Red Hat 10.2.1-6), clang version 11.0.0 (Fedora 11.0.0-1.fc34)
#
Avoid that by ditching that 'initfunc' function pointer with its:
#define Py_EXPORTED_SYMBOL _attribute_ ((visibility ("default")))
#define PyMODINIT_FUNC Py_EXPORTED_SYMBOL PyObject*
And just call PyImport_AppendInittab() at the end of the ifdef python3
block with the functions that were being attributed to that initfunc.
Cc: Adrian Hunter <adrian.hunter@intel.com>
Cc: Ian Rogers <irogers@google.com>
Cc: Jiri Olsa <jolsa@kernel.org>
Cc: Namhyung Kim <namhyung@kernel.org>
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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The GCC specific __attribute__((optimize)) attribute does not what is
commonly expected and is explicitly recommended against using in
production code by the GCC people.
Unlike what is often expected, it doesn't add to the optimization flags,
but it fully replaces them, loosing any and all optimization flags
provided by the compiler commandline.
The only guaranteed upon means of inhibiting tail-calls is by placing a
volatile asm with side-effects after the call such that the tail-call simply
cannot be done.
Given the original commit wasn't specific on which calls were the problem, this
removal might re-introduce the problem, which can then be re-analyzed and cured
properly.
Signed-off-by: Peter Zijlstra <peterz@infradead.org>
Acked-by: Ard Biesheuvel <ardb@kernel.org>
Acked-by: Miguel Ojeda <ojeda@kernel.org>
Cc: Alexei Starovoitov <ast@kernel.org>
Cc: Arnd Bergmann <arnd@arndb.de>
Cc: Arvind Sankar <nivedita@alum.mit.edu>
Cc: Daniel Borkmann <daniel@iogearbox.net>
Cc: Geert Uytterhoeven <geert@linux-m68k.org>
Cc: Ian Rogers <irogers@google.com>
Cc: Josh Poimboeuf <jpoimboe@redhat.com>
Cc: Kees Kook <keescook@chromium.org>
Cc: Martin Liška <mliska@suse.cz>
Cc: Nick Desaulniers <ndesaulniers@google.com>
Cc: Randy Dunlap <rdunlap@infradead.org>
Cc: Thomas Gleixner <tglx@linutronix.de>
Link: http://lore.kernel.org/lkml/20201028081123.GT2628@hirez.programming.kicks-ass.net
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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Ian reports an issue that the metric DRAM_BW_Use often remains 0.
The metric expression for DRAM_BW_Use on CLX/SKX:
"( 64 * ( uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@ ) / 1000000000 ) / duration_time"
The counts of uncore_imc/cas_count_read/ and uncore_imc/cas_count_write/
are scaled up by 64, that is to turn a count of cache lines into bytes,
the count is then divided by 1000000000 to give GB.
However, the counts of uncore_imc/cas_count_read/ and
uncore_imc/cas_count_write/ have been scaled yet.
The scale values are from sysfs, such as
/sys/devices/uncore_imc_0/events/cas_count_read.scale.
It's 6.103515625e-5 (64 / 1024.0 / 1024.0).
So if we use original metric expression, the result is not correct.
But the difficulty is, for SKL client, the counts are not scaled.
The metric expression for DRAM_BW_Use on SKL:
"64 * ( arb@event\\=0x81\\,umask\\=0x1@ + arb@event\\=0x84\\,umask\\=0x1@ ) / 1000000 / duration_time / 1000"
root@kbl-ppc:~# perf stat -M DRAM_BW_Use -a -- sleep 1
Performance counter stats for 'system wide':
190 arb/event=0x84,umask=0x1/ # 1.86 DRAM_BW_Use
29,093,178 arb/event=0x81,umask=0x1/
1,000,703,287 ns duration_time
1.000703287 seconds time elapsed
The result is expected.
So the easy way is just change the metric expression for CLX/SKX.
This patch changes the metric expression to:
"( ( ( uncore_imc@cas_count_read@ + uncore_imc@cas_count_write@ ) * 1048576 ) / 1000000000 ) / duration_time"
1048576 = 1024 * 1024.
Before (tested on CLX):
root@lkp-csl-2sp5 ~# perf stat -M DRAM_BW_Use -a -- sleep 1
Performance counter stats for 'system wide':
765.35 MiB uncore_imc/cas_count_read/ # 0.00 DRAM_BW_Use
5.42 MiB uncore_imc/cas_count_write/
1001515088 ns duration_time
1.001515088 seconds time elapsed
After:
root@lkp-csl-2sp5 ~# perf stat -M DRAM_BW_Use -a -- sleep 1
Performance counter stats for 'system wide':
767.95 MiB uncore_imc/cas_count_read/ # 0.80 DRAM_BW_Use
5.02 MiB uncore_imc/cas_count_write/
1001900010 ns duration_time
1.001900010 seconds time elapsed
Fixes: 038d3b53c284 ("perf vendor events intel: Update CascadelakeX events to v1.08")
Fixes: b5ff7f2799a4 ("perf vendor events: Update SkylakeX events to v1.21")
Signed-off-by: Jin Yao <yao.jin@linux.intel.com>
Acked-by: Ian Rogers <irogers@google.com>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Andi Kleen <ak@linux.intel.com>
Cc: Jiri Olsa <jolsa@kernel.org>
Cc: Kan Liang <kan.liang@linux.intel.com>
Cc: Peter Zijlstra <peterz@infradead.org>
Link: http://lore.kernel.org/lkml/20201023005334.7869-1-yao.jin@linux.intel.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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# ./perf trace -e sched:sched_switch -G test -a sleep 1
perf: Segmentation fault
Obtained 11 stack frames.
./perf(sighandler_dump_stack+0x43) [0x55cfdc636db3]
/lib/x86_64-linux-gnu/libc.so.6(+0x3efcf) [0x7fd23eecafcf]
./perf(parse_cgroups+0x36) [0x55cfdc673f36]
./perf(+0x3186ed) [0x55cfdc70d6ed]
./perf(parse_options_subcommand+0x629) [0x55cfdc70e999]
./perf(cmd_trace+0x9c2) [0x55cfdc5ad6d2]
./perf(+0x1e8ae0) [0x55cfdc5ddae0]
./perf(+0x1e8ded) [0x55cfdc5ddded]
./perf(main+0x370) [0x55cfdc556f00]
/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xe6) [0x7fd23eeadb96]
./perf(_start+0x29) [0x55cfdc557389]
Segmentation fault
#
It happens because "struct trace" in option->value is passed to the
parse_cgroups function instead of "struct evlist".
Fixes: 9ea42ba4411ac ("perf trace: Support setting cgroups as targets")
Signed-off-by: Stanislav Ivanichkin <sivanichkin@yandex-team.ru>
Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com>
Acked-by: Namhyung Kim <namhyung@kernel.org>
Cc: Dmitry Monakhov <dmtrmonakhov@yandex-team.ru>
Link: http://lore.kernel.org/lkml/20201027094357.94881-1-sivanichkin@yandex-team.ru
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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The addr in PERF_RECORD_KSYMBOL events for non-jited bpf progs points to
the bpf interpreter, ie. within kernel text section. When processing the
unregister event, this causes unexpected removal of vmlinux_map,
crashing perf later in cleanup:
# perf record -- timeout --signal=INT 2s /usr/share/bcc/tools/execsnoop
PCOMM PID PPID RET ARGS
[ perf record: Woken up 1 times to write data ]
[ perf record: Captured and wrote 0.208 MB perf.data (5155 samples) ]
perf: tools/include/linux/refcount.h:131: refcount_sub_and_test: Assertion `!(new > val)' failed.
Aborted (core dumped)
# perf script -D|grep KSYM
0 0xa40 [0x48]: PERF_RECORD_KSYMBOL addr ffffffffa9b6b530 len 0 type 1 flags 0x0 name bpf_prog_f958f6eb72ef5af6
0 0xab0 [0x48]: PERF_RECORD_KSYMBOL addr ffffffffa9b6b530 len 0 type 1 flags 0x0 name bpf_prog_8c42dee26e8cd4c2
0 0xb20 [0x48]: PERF_RECORD_KSYMBOL addr ffffffffa9b6b530 len 0 type 1 flags 0x0 name bpf_prog_f958f6eb72ef5af6
108563691893 0x33d98 [0x58]: PERF_RECORD_KSYMBOL addr ffffffffa9b6b3b0 len 0 type 1 flags 0x0 name bpf_prog_bc5697a410556fc2_syscall__execve
108568518458 0x34098 [0x58]: PERF_RECORD_KSYMBOL addr ffffffffa9b6b3f0 len 0 type 1 flags 0x0 name bpf_prog_45e2203c2928704d_do_ret_sys_execve
109301967895 0x34830 [0x58]: PERF_RECORD_KSYMBOL addr ffffffffa9b6b3b0 len 0 type 1 flags 0x1 name bpf_prog_bc5697a410556fc2_syscall__execve
109302007356 0x348b0 [0x58]: PERF_RECORD_KSYMBOL addr ffffffffa9b6b3f0 len 0 type 1 flags 0x1 name bpf_prog_45e2203c2928704d_do_ret_sys_execve
perf: tools/include/linux/refcount.h:131: refcount_sub_and_test: Assertion `!(new > val)' failed.
Here the addresses match the bpf interpreter:
# grep -e ffffffffa9b6b530 -e ffffffffa9b6b3b0 -e ffffffffa9b6b3f0 /proc/kallsyms
ffffffffa9b6b3b0 t __bpf_prog_run224
ffffffffa9b6b3f0 t __bpf_prog_run192
ffffffffa9b6b530 t __bpf_prog_run32
Fix by not allowing vmlinux_map to be removed by PERF_RECORD_KSYMBOL
unregister event.
Signed-off-by: Tommi Rantala <tommi.t.rantala@nokia.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Tested-by: Jiri Olsa <jolsa@redhat.com>
Link: https://lore.kernel.org/r/20201016114718.54332-1-tommi.t.rantala@nokia.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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To pick the changes from:
ecb8ac8b1f146915 ("mm/madvise: introduce process_madvise() syscall: an external memory hinting API")
That addresses these perf build warning:
Warning: Kernel ABI header at 'tools/include/uapi/asm-generic/unistd.h' differs from latest version at 'include/uapi/asm-generic/unistd.h'
diff -u tools/include/uapi/asm-generic/unistd.h include/uapi/asm-generic/unistd.h
Warning: Kernel ABI header at 'tools/perf/arch/x86/entry/syscalls/syscall_64.tbl' differs from latest version at 'arch/x86/entry/syscalls/syscall_64.tbl'
diff -u tools/perf/arch/x86/entry/syscalls/syscall_64.tbl arch/x86/entry/syscalls/syscall_64.tbl
Cc: Adrian Hunter <adrian.hunter@intel.com>
Cc: Ian Rogers <irogers@google.com>
Cc: Jiri Olsa <jolsa@kernel.org>
Cc: Linus Torvalds <torvalds@linux-foundation.org>
Cc: Minchan Kim <minchan@kernel.org>
Cc: Namhyung Kim <namhyung@kernel.org>
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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To pick the changes in:
85367030a6c7ef33 ("libbpf: Centralize poisoning and poison reallocarray()")
7d9c71e10baa3496 ("libbpf: Extract generic string hashing function for reuse")
That don't entail any changes in tools/perf.
This addresses this perf build warning:
Warning: Kernel ABI header at 'tools/perf/util/hashmap.h' differs from latest version at 'tools/lib/bpf/hashmap.h'
diff -u tools/perf/util/hashmap.h tools/lib/bpf/hashmap.h
Not a kernel ABI, its just that this uses the mechanism in place for
checking kernel ABI files drift.
Cc: Adrian Hunter <adrian.hunter@intel.com>
Cc: Alexei Starovoitov <ast@kernel.org>
Cc: Andrii Nakryiko <andriin@fb.com>
Cc: Ian Rogers <irogers@google.com>
Cc: Jiri Olsa <jolsa@kernel.org>
Cc: Namhyung Kim <namhyung@kernel.org>
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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To avoid breaking the build by mixing files compiled with things coming
from distro specific compiler options for perl with the rest of perf,
i.e. to avoid this:
`.gnu.debuglto_.debug_macro' referenced in section `.gnu.debuglto_.debug_macro' of /tmp/build/perf/util/scripting-engines/perf-in.o: defined in discarded section `.gnu.debuglto_.debug_macro[wm4.stdcpredef.h.19.8dc41bed5d9037ff9622e015fb5f0ce3]' of /tmp/build/perf/util/scripting-engines/perf-in.o
Noticed on Fedora 33.
Signed-off-by: Justin M. Forbes <jforbes@fedoraproject.org>
Bugzilla: https://bugzilla.redhat.com/show_bug.cgi?id=1593431
Cc: Jiri Olsa <jolsa@redhat.com>
Link: https://src.fedoraproject.org/rpms/kernel-tools/c/589a32b62f0c12516ab7b34e3dd30d450145bfa4?branch=master
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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git://git.kernel.org/pub/scm/linux/kernel/git/acme/linux
Pull perf tools updates from Arnaldo Carvalho de Melo:
- cgroup improvements for 'perf stat', allowing for compact
specification of events and cgroups in the command line.
- Support per thread topdown metrics in 'perf stat'.
- Support sample-read topdown metric group in 'perf record'
- Show start of latency in addition to its start in 'perf sched
latency'.
- Add min, max to 'perf script' futex-contention output, in addition to
avg.
- Allow usage of 'perf_event_attr->exclusive' attribute via the new
':e' event modifier.
- Add 'snapshot' command to 'perf record --control', using it with
Intel PT.
- Support FIFO file names as alternative options to 'perf record
--control'.
- Introduce branch history "streams", to compare 'perf record' runs
with 'perf diff' based on branch records and report hot streams.
- Support PE executable symbol tables using libbfd, to profile, for
instance, wine binaries.
- Add filter support for option 'perf ftrace -F/--funcs'.
- Allow configuring the 'disassembler_style' 'perf annotate' knob via
'perf config'
- Update CascadelakeX and SkylakeX JSON vendor events files.
- Add support for parsing perchip/percore JSON vendor events.
- Add power9 hv_24x7 core level metric events.
- Add L2 prefetch, ITLB instruction fetch hits JSON events for AMD
zen1.
- Enable Family 19h users by matching Zen2 AMD vendor events.
- Use debuginfod in 'perf probe' when required debug files not found
locally.
- Display negative tid in non-sample events in 'perf script'.
- Make GTK2 support opt-in
- Add build test with GTK+
- Add missing -lzstd to the fast path feature detection
- Add scripts to auto generate 'mmap', 'mremap' string<->id tables for
use in 'perf trace'.
- Show python test script in verbose mode.
- Fix uncore metric expressions
- Msan uninitialized use fixes.
- Use condition variables in 'perf bench numa'
- Autodetect python3 binary in systems without python2.
- Support md5 build ids in addition to sha1.
- Add build id 'perf test' regression test.
- Fix printable strings in python3 scripts.
- Fix off by ones in 'perf trace' in arches using libaudit.
- Fix JSON event code for events referencing std arch events.
- Introduce 'perf test' shell script for Arm CoreSight testing.
- Add rdtsc() for Arm64 for used in the PERF_RECORD_TIME_CONV metadata
event and in 'perf test tsc'.
- 'perf c2c' improvements: Add "RMT Load Hit" metric, "Total Stores",
fixes and documentation update.
- Fix usage of reloc_sym in 'perf probe' when using both kallsyms and
debuginfo files.
- Do not print 'Metric Groups:' unnecessarily in 'perf list'
- Refcounting fixes in the event parsing code.
- Add expand cgroup event 'perf test' entry.
- Fix out of bounds CPU map access when handling armv8_pmu events in
'perf stat'.
- Add build-id injection 'perf bench' benchmark.
- Enter namespace when reading build-id in 'perf inject'.
- Do not load map/dso when injecting build-id speeding up the 'perf
inject' process.
- Add --buildid-all option to avoid processing all samples, just the
mmap metadata events.
- Add feature test to check if libbfd has buildid support
- Add 'perf test' entry for PE binary format support.
- Fix typos in power8 PMU vendor events JSON files.
- Hide libtraceevent non API functions.
* tag 'perf-tools-for-v5.10-2020-10-15' of git://git.kernel.org/pub/scm/linux/kernel/git/acme/linux: (113 commits)
perf c2c: Update documentation for metrics reorganization
perf c2c: Add metrics "RMT Load Hit"
perf c2c: Correct LLC load hit metrics
perf c2c: Change header for LLC local hit
perf c2c: Use more explicit headers for HITM
perf c2c: Change header from "LLC Load Hitm" to "Load Hitm"
perf c2c: Organize metrics based on memory hierarchy
perf c2c: Display "Total Stores" as a standalone metrics
perf c2c: Display the total numbers continuously
perf bench: Use condition variables in numa.
perf jevents: Fix event code for events referencing std arch events
perf diff: Support hot streams comparison
perf streams: Report hot streams
perf streams: Calculate the sum of total streams hits
perf streams: Link stream pair
perf streams: Compare two streams
perf streams: Get the evsel_streams by evsel_idx
perf streams: Introduce branch history "streams"
perf intel-pt: Improve PT documentation slightly
perf tools: Add support for exclusive groups/events
...
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The output format for metrics has been reorganized, update documentation
to reflect the changes for it.
Signed-off-by: Leo Yan <leo.yan@linaro.org>
Cc: Al Grant <al.grant@arm.com>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Andi Kleen <ak@linux.intel.com>
Cc: David Ahern <dsahern@gmail.com>
Cc: Don Zickus <dzickus@redhat.com>
Cc: Ian Rogers <irogers@google.com>
Cc: James Clark <james.clark@arm.com>
Cc: Jiri Olsa <jolsa@redhat.com>
Cc: Joe Mario <jmario@redhat.com>
Cc: Kan Liang <kan.liang@linux.intel.com>
Cc: Mark Rutland <mark.rutland@arm.com>
Cc: Namhyung Kim <namhyung@kernel.org>
Cc: Peter Zijlstra <peterz@infradead.org>
Link: http://lore.kernel.org/lkml/20201015144548.18482-10-leo.yan@linaro.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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The metrics "LLC Ld Miss" and "Load Dram" overlap with each other for
accouting items:
"LLC Ld Miss" = "lcl_dram" + "rmt_dram" + "rmt_hit" + "rmt_hitm"
"Load Dram" = "lcl_dram" + "rmt_dram"
Furthermore, the metrics "LLC Ld Miss" is not directive to show
statistics due to it contains summary value and cannot give out
breakdown details.
For this reason, add a new metrics "RMT Load Hit" which is used to
present the remote cache hit; it contains two items:
"RMT Load Hit" = remote hit ("rmt_hit") + remote hitm ("rmt_hitm")
As result, the metrics "LLC Ld Miss" is perfectly divided into two
metrics "RMT Load Hit" and "Load Dram". It's not necessary to keep
metrics "LLC Ld Miss", so remove it.
Before:
# ----------- Cacheline ---------- Tot ------- Load Hitm ------- Total Total Total ---- Stores ---- ----- Core Load Hit ----- - LLC Load Hit -- LLC --- Load Dram ----
# Index Address Node PA cnt Hitm Total LclHitm RmtHitm records Loads Stores L1Hit L1Miss FB L1 L2 LclHit LclHitm Ld Miss Lcl Rmt
# ..... .................. .... ...... ....... ....... ....... ....... ....... ....... ....... ....... ....... ....... ....... ....... ........ ....... ....... ........ ........
#
0 0x55f07d580100 0 1499 85.89% 481 481 0 7243 3879 3364 2599 765 548 2615 66 169 481 0 0 0
1 0x55f07d580080 0 1 13.93% 78 78 0 664 664 0 0 0 187 361 27 11 78 0 0 0
2 0x55f07d5800c0 0 1 0.18% 1 1 0 405 405 0 0 0 131 0 10 263 1 0 0 0
After:
# ----------- Cacheline ---------- Tot ------- Load Hitm ------- Total Total Total ---- Stores ---- ----- Core Load Hit ----- - LLC Load Hit -- - RMT Load Hit -- --- Load Dram ----
# Index Address Node PA cnt Hitm Total LclHitm RmtHitm records Loads Stores L1Hit L1Miss FB L1 L2 LclHit LclHitm RmtHit RmtHitm Lcl Rmt
# ..... .................. .... ...... ....... ....... ....... ....... ....... ....... ....... ....... ....... ....... ....... ....... ........ ....... ........ ....... ........ ........
#
0 0x55f07d580100 0 1499 85.89% 481 481 0 7243 3879 3364 2599 765 548 2615 66 169 481 0 0 0 0
1 0x55f07d580080 0 1 13.93% 78 78 0 664 664 0 0 0 187 361 27 11 78 0 0 0 0
2 0x55f07d5800c0 0 1 0.18% 1 1 0 405 405 0 0 0 131 0 10 263 1 0 0 0 0
Signed-off-by: Leo Yan <leo.yan@linaro.org>
Tested-by: Joe Mario <jmario@redhat.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
Link: https://lore.kernel.org/r/20201014050921.5591-9-leo.yan@linaro.org
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"rmt_hit" is accounted into two metrics: one is accounted into the
metrics "LLC Ld Miss" (see the function llc_miss() for calculation
"llcmiss"); and it's accounted into metrics "LLC Load Hit". Thus,
for the literal meaning, it is contradictory that "rmt_hit" is
accounted for both "LLC Ld Miss" (LLC miss) and "LLC Load Hit"
(LLC hit).
Thus this is easily to introduce confusion: "LLC Load Hit" gives
impression that all items belong to it are LLC hit; in fact "rmt_hit"
is LLC miss and remote cache hit.
To give out clear semantics for metric "LLC Load Hit", "rmt_hit" is
moved out from it and changes "LLC Load Hit" to contain two items:
LLC Load Hit = LLC's hit ("ld_llchit") + LLC's hitm ("lcl_hitm")
For output alignment, adjusts the header for "LLC Load Hit".
Signed-off-by: Leo Yan <leo.yan@linaro.org>
Tested-by: Joe Mario <jmario@redhat.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Link: https://lore.kernel.org/r/20201014050921.5591-8-leo.yan@linaro.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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Replace the header string "Lcl" with "LclHit", which is more explicit
to express the event type is LLC local hit.
Signed-off-by: Leo Yan <leo.yan@linaro.org>
Tested-by: Joe Mario <jmario@redhat.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Link: https://lore.kernel.org/r/20201014050921.5591-7-leo.yan@linaro.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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Local and remote HITM use the headers 'Lcl' and 'Rmt' respectively,
suppose if we want to extend the tool to display these two dimensions
under any one metrics, users cannot understand the semantics if only
based on the header string 'Lcl' or 'Rmt'.
To explicit express the meaning for HITM items, this patch changes the
headers string as "LclHitm" and "RmtHitm", the strings are more readable
and this allows to extend metrics for using HITM items.
Signed-off-by: Leo Yan <leo.yan@linaro.org>
Tested-by: Joe Mario <jmario@redhat.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Link: https://lore.kernel.org/r/20201014050921.5591-6-leo.yan@linaro.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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The metrics "LLC Load Hitm" contains two items: one is "local Hitm" and
another is "remote Hitm".
"local Hitm" means: L3 HIT and was serviced by another processor core
with a cross core snoop where modified copies were found; it's no doubt
that "local Hitm" belongs to LLC access.
But for "remote Hitm", based on the code in util/mem-events, it's the
event for remote cache HIT and was serviced by another processor core
with modified copies. Thus the remote Hitm is a remote cache's hit and
actually it's LLC load miss.
Now the display format gives users the impression that "local Hitm" and
"remote Hitm" both belong to the LLC load, but this is not the fact as
described.
This patch changes the header from "LLC Load Hitm" to "Load Hitm", this
can avoid the give the wrong impression that all Hitm belong to LLC.
Signed-off-by: Leo Yan <leo.yan@linaro.org>
Tested-by: Joe Mario <jmario@redhat.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Link: https://lore.kernel.org/r/20201014050921.5591-5-leo.yan@linaro.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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The metrics are not organized based on memory hierarchy, e.g. the tool
doesn't organize the metrics order based on memory nodes from the close
node (e.g. L1/L2 cache) to far node (e.g. L3 cache and DRAM).
To output metrics with more friendly form, this patch refines the
metrics order based on memory hierarchy:
"Core Load Hit" => "LLC Load Hit" => "LLC Ld Miss" => "Load Dram"
Signed-off-by: Leo Yan <leo.yan@linaro.org>
Tested-by: Joe Mario <jmario@redhat.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Link: https://lore.kernel.org/r/20201014050921.5591-4-leo.yan@linaro.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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The total stores is displayed under the metrics "Store Reference", to
output the same format with total records and all loads, extract the
total stores number as a standalone metrics "Total Stores".
After this patch, the tool shows the summary numbers ("Total records",
"Total loads", "Total Stores") in the unified form.
Before:
# ----------- Cacheline ---------- Tot ----- LLC Load Hitm ----- Total Total ---- Store Reference ---- --- Load Dram ---- LLC ----- Core Load Hit ----- -- LLC Load Hit --
# Index Address Node PA cnt Hitm Total Lcl Rmt records Loads Total L1Hit L1Miss Lcl Rmt Ld Miss FB L1 L2 Llc Rmt
# ..... .................. .... ...... ....... ....... ....... ....... ....... ....... ....... ....... ....... ........ ........ ....... ....... ....... ....... ........ ........
#
0 0x55f07d580100 0 1499 85.89% 481 481 0 7243 3879 3364 2599 765 0 0 0 548 2615 66 169 0
1 0x55f07d580080 0 1 13.93% 78 78 0 664 664 0 0 0 0 0 0 187 361 27 11 0
2 0x55f07d5800c0 0 1 0.18% 1 1 0 405 405 0 0 0 0 0 0 131 0 10 263 0
After:
# ----------- Cacheline ---------- Tot ----- LLC Load Hitm ----- Total Total Total ---- Stores ---- --- Load Dram ---- LLC ----- Core Load Hit ----- -- LLC Load Hit --
# Index Address Node PA cnt Hitm Total Lcl Rmt records Loads Stores L1Hit L1Miss Lcl Rmt Ld Miss FB L1 L2 Llc Rmt
# ..... .................. .... ...... ....... ....... ....... ....... ....... ....... ....... ....... ....... ........ ........ ....... ....... ....... ....... ........ ........
#
0 0x55f07d580100 0 1499 85.89% 481 481 0 7243 3879 3364 2599 765 0 0 0 548 2615 66 169 0
1 0x55f07d580080 0 1 13.93% 78 78 0 664 664 0 0 0 0 0 0 187 361 27 11 0
2 0x55f07d5800c0 0 1 0.18% 1 1 0 405 405 0 0 0 0 0 0 131 0 10 263 0
Signed-off-by: Leo Yan <leo.yan@linaro.org>
Tested-by: Joe Mario <jmario@redhat.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Link: https://lore.kernel.org/r/20201014050921.5591-3-leo.yan@linaro.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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To view the statistics with "breakdown" mode, it's good to show the
summary numbers for the total records, all stores and all loads, then
the sequential conlumns can be used to break into more detailed items.
To achieve this purpose, this patch displays the summary numbers for
records/stores/loads continuously and places them before breakdown
items, this can allow uses to easily read the summarized statistics.
Signed-off-by: Leo Yan <leo.yan@linaro.org>
Tested-by: Joe Mario <jmario@redhat.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Link: https://lore.kernel.org/r/20201014050921.5591-2-leo.yan@linaro.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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The existing approach to synchronization between threads in the numa
benchmark is unbalanced mutexes.
This synchronization causes thread sanitizer to warn of locks being
taken twice on a thread without an unlock, as well as unlocks with no
corresponding locks.
This change replaces the synchronization with more regular condition
variables.
While this fixes one class of thread sanitizer warnings, there still
remain warnings of data races due to threads reading and writing shared
memory without any atomics.
Committer testing:
Basic run on a non-NUMA machine.
# perf bench numa
# List of available benchmarks for collection 'numa':
mem: Benchmark for NUMA workloads
all: Run all NUMA benchmarks
# perf bench numa all
# Running numa/mem benchmark...
# Running main, "perf bench numa numa-mem"
#
# Running test on: Linux five 5.8.12-200.fc32.x86_64 #1 SMP Mon Sep 28 12:17:31 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
#
# Running RAM-bw-local, "perf bench numa mem -p 1 -t 1 -P 1024 -C 0 -M 0 -s 20 -zZq --thp 1 --no-data_rand_walk"
20.076 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.073 secs average thread-runtime
0.190 % difference between max/avg runtime
241.828 GB data processed, per thread
241.828 GB data processed, total
0.083 nsecs/byte/thread runtime
12.045 GB/sec/thread speed
12.045 GB/sec total speed
# Running RAM-bw-local-NOTHP, "perf bench numa mem -p 1 -t 1 -P 1024 -C 0 -M 0 -s 20 -zZq --thp 1 --no-data_rand_walk --thp -1"
20.045 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.014 secs average thread-runtime
0.111 % difference between max/avg runtime
234.304 GB data processed, per thread
234.304 GB data processed, total
0.086 nsecs/byte/thread runtime
11.689 GB/sec/thread speed
11.689 GB/sec total speed
# Running RAM-bw-remote, "perf bench numa mem -p 1 -t 1 -P 1024 -C 0 -M 1 -s 20 -zZq --thp 1 --no-data_rand_walk"
Test not applicable, system has only 1 nodes.
# Running RAM-bw-local-2x, "perf bench numa mem -p 2 -t 1 -P 1024 -C 0,2 -M 0x2 -s 20 -zZq --thp 1 --no-data_rand_walk"
20.138 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.121 secs average thread-runtime
0.342 % difference between max/avg runtime
135.961 GB data processed, per thread
271.922 GB data processed, total
0.148 nsecs/byte/thread runtime
6.752 GB/sec/thread speed
13.503 GB/sec total speed
# Running RAM-bw-remote-2x, "perf bench numa mem -p 2 -t 1 -P 1024 -C 0,2 -M 1x2 -s 20 -zZq --thp 1 --no-data_rand_walk"
Test not applicable, system has only 1 nodes.
# Running RAM-bw-cross, "perf bench numa mem -p 2 -t 1 -P 1024 -C 0,8 -M 1,0 -s 20 -zZq --thp 1 --no-data_rand_walk"
Test not applicable, system has only 1 nodes.
# Running 1x3-convergence, "perf bench numa mem -p 1 -t 3 -P 512 -s 100 -zZ0qcm --thp 1"
0.747 secs latency to NUMA-converge
0.747 secs slowest (max) thread-runtime
0.000 secs fastest (min) thread-runtime
0.714 secs average thread-runtime
50.000 % difference between max/avg runtime
3.228 GB data processed, per thread
9.683 GB data processed, total
0.231 nsecs/byte/thread runtime
4.321 GB/sec/thread speed
12.964 GB/sec total speed
# Running 1x4-convergence, "perf bench numa mem -p 1 -t 4 -P 512 -s 100 -zZ0qcm --thp 1"
1.127 secs latency to NUMA-converge
1.127 secs slowest (max) thread-runtime
1.000 secs fastest (min) thread-runtime
1.089 secs average thread-runtime
5.624 % difference between max/avg runtime
3.765 GB data processed, per thread
15.062 GB data processed, total
0.299 nsecs/byte/thread runtime
3.342 GB/sec/thread speed
13.368 GB/sec total speed
# Running 1x6-convergence, "perf bench numa mem -p 1 -t 6 -P 1020 -s 100 -zZ0qcm --thp 1"
1.003 secs latency to NUMA-converge
1.003 secs slowest (max) thread-runtime
0.000 secs fastest (min) thread-runtime
0.889 secs average thread-runtime
50.000 % difference between max/avg runtime
2.141 GB data processed, per thread
12.847 GB data processed, total
0.469 nsecs/byte/thread runtime
2.134 GB/sec/thread speed
12.805 GB/sec total speed
# Running 2x3-convergence, "perf bench numa mem -p 2 -t 3 -P 1020 -s 100 -zZ0qcm --thp 1"
1.814 secs latency to NUMA-converge
1.814 secs slowest (max) thread-runtime
1.000 secs fastest (min) thread-runtime
1.716 secs average thread-runtime
22.440 % difference between max/avg runtime
3.747 GB data processed, per thread
22.483 GB data processed, total
0.484 nsecs/byte/thread runtime
2.065 GB/sec/thread speed
12.393 GB/sec total speed
# Running 3x3-convergence, "perf bench numa mem -p 3 -t 3 -P 1020 -s 100 -zZ0qcm --thp 1"
2.065 secs latency to NUMA-converge
2.065 secs slowest (max) thread-runtime
1.000 secs fastest (min) thread-runtime
1.947 secs average thread-runtime
25.788 % difference between max/avg runtime
2.855 GB data processed, per thread
25.694 GB data processed, total
0.723 nsecs/byte/thread runtime
1.382 GB/sec/thread speed
12.442 GB/sec total speed
# Running 4x4-convergence, "perf bench numa mem -p 4 -t 4 -P 512 -s 100 -zZ0qcm --thp 1"
1.912 secs latency to NUMA-converge
1.912 secs slowest (max) thread-runtime
1.000 secs fastest (min) thread-runtime
1.775 secs average thread-runtime
23.852 % difference between max/avg runtime
1.479 GB data processed, per thread
23.668 GB data processed, total
1.293 nsecs/byte/thread runtime
0.774 GB/sec/thread speed
12.378 GB/sec total speed
# Running 4x4-convergence-NOTHP, "perf bench numa mem -p 4 -t 4 -P 512 -s 100 -zZ0qcm --thp 1 --thp -1"
1.783 secs latency to NUMA-converge
1.783 secs slowest (max) thread-runtime
1.000 secs fastest (min) thread-runtime
1.633 secs average thread-runtime
21.960 % difference between max/avg runtime
1.345 GB data processed, per thread
21.517 GB data processed, total
1.326 nsecs/byte/thread runtime
0.754 GB/sec/thread speed
12.067 GB/sec total speed
# Running 4x6-convergence, "perf bench numa mem -p 4 -t 6 -P 1020 -s 100 -zZ0qcm --thp 1"
5.396 secs latency to NUMA-converge
5.396 secs slowest (max) thread-runtime
4.000 secs fastest (min) thread-runtime
4.928 secs average thread-runtime
12.937 % difference between max/avg runtime
2.721 GB data processed, per thread
65.306 GB data processed, total
1.983 nsecs/byte/thread runtime
0.504 GB/sec/thread speed
12.102 GB/sec total speed
# Running 4x8-convergence, "perf bench numa mem -p 4 -t 8 -P 512 -s 100 -zZ0qcm --thp 1"
3.121 secs latency to NUMA-converge
3.121 secs slowest (max) thread-runtime
2.000 secs fastest (min) thread-runtime
2.836 secs average thread-runtime
17.962 % difference between max/avg runtime
1.194 GB data processed, per thread
38.192 GB data processed, total
2.615 nsecs/byte/thread runtime
0.382 GB/sec/thread speed
12.236 GB/sec total speed
# Running 8x4-convergence, "perf bench numa mem -p 8 -t 4 -P 512 -s 100 -zZ0qcm --thp 1"
4.302 secs latency to NUMA-converge
4.302 secs slowest (max) thread-runtime
3.000 secs fastest (min) thread-runtime
4.045 secs average thread-runtime
15.133 % difference between max/avg runtime
1.631 GB data processed, per thread
52.178 GB data processed, total
2.638 nsecs/byte/thread runtime
0.379 GB/sec/thread speed
12.128 GB/sec total speed
# Running 8x4-convergence-NOTHP, "perf bench numa mem -p 8 -t 4 -P 512 -s 100 -zZ0qcm --thp 1 --thp -1"
4.418 secs latency to NUMA-converge
4.418 secs slowest (max) thread-runtime
3.000 secs fastest (min) thread-runtime
4.104 secs average thread-runtime
16.045 % difference between max/avg runtime
1.664 GB data processed, per thread
53.254 GB data processed, total
2.655 nsecs/byte/thread runtime
0.377 GB/sec/thread speed
12.055 GB/sec total speed
# Running 3x1-convergence, "perf bench numa mem -p 3 -t 1 -P 512 -s 100 -zZ0qcm --thp 1"
0.973 secs latency to NUMA-converge
0.973 secs slowest (max) thread-runtime
0.000 secs fastest (min) thread-runtime
0.955 secs average thread-runtime
50.000 % difference between max/avg runtime
4.124 GB data processed, per thread
12.372 GB data processed, total
0.236 nsecs/byte/thread runtime
4.238 GB/sec/thread speed
12.715 GB/sec total speed
# Running 4x1-convergence, "perf bench numa mem -p 4 -t 1 -P 512 -s 100 -zZ0qcm --thp 1"
0.820 secs latency to NUMA-converge
0.820 secs slowest (max) thread-runtime
0.000 secs fastest (min) thread-runtime
0.808 secs average thread-runtime
50.000 % difference between max/avg runtime
2.555 GB data processed, per thread
10.220 GB data processed, total
0.321 nsecs/byte/thread runtime
3.117 GB/sec/thread speed
12.468 GB/sec total speed
# Running 8x1-convergence, "perf bench numa mem -p 8 -t 1 -P 512 -s 100 -zZ0qcm --thp 1"
0.667 secs latency to NUMA-converge
0.667 secs slowest (max) thread-runtime
0.000 secs fastest (min) thread-runtime
0.607 secs average thread-runtime
50.000 % difference between max/avg runtime
1.009 GB data processed, per thread
8.069 GB data processed, total
0.661 nsecs/byte/thread runtime
1.512 GB/sec/thread speed
12.095 GB/sec total speed
# Running 16x1-convergence, "perf bench numa mem -p 16 -t 1 -P 256 -s 100 -zZ0qcm --thp 1"
1.546 secs latency to NUMA-converge
1.546 secs slowest (max) thread-runtime
1.000 secs fastest (min) thread-runtime
1.485 secs average thread-runtime
17.664 % difference between max/avg runtime
1.162 GB data processed, per thread
18.594 GB data processed, total
1.331 nsecs/byte/thread runtime
0.752 GB/sec/thread speed
12.025 GB/sec total speed
# Running 32x1-convergence, "perf bench numa mem -p 32 -t 1 -P 128 -s 100 -zZ0qcm --thp 1"
0.812 secs latency to NUMA-converge
0.812 secs slowest (max) thread-runtime
0.000 secs fastest (min) thread-runtime
0.739 secs average thread-runtime
50.000 % difference between max/avg runtime
0.309 GB data processed, per thread
9.874 GB data processed, total
2.630 nsecs/byte/thread runtime
0.380 GB/sec/thread speed
12.166 GB/sec total speed
# Running 2x1-bw-process, "perf bench numa mem -p 2 -t 1 -P 1024 -s 20 -zZ0q --thp 1"
20.044 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.020 secs average thread-runtime
0.109 % difference between max/avg runtime
125.750 GB data processed, per thread
251.501 GB data processed, total
0.159 nsecs/byte/thread runtime
6.274 GB/sec/thread speed
12.548 GB/sec total speed
# Running 3x1-bw-process, "perf bench numa mem -p 3 -t 1 -P 1024 -s 20 -zZ0q --thp 1"
20.148 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.090 secs average thread-runtime
0.367 % difference between max/avg runtime
85.267 GB data processed, per thread
255.800 GB data processed, total
0.236 nsecs/byte/thread runtime
4.232 GB/sec/thread speed
12.696 GB/sec total speed
# Running 4x1-bw-process, "perf bench numa mem -p 4 -t 1 -P 1024 -s 20 -zZ0q --thp 1"
20.169 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.100 secs average thread-runtime
0.419 % difference between max/avg runtime
63.144 GB data processed, per thread
252.576 GB data processed, total
0.319 nsecs/byte/thread runtime
3.131 GB/sec/thread speed
12.523 GB/sec total speed
# Running 8x1-bw-process, "perf bench numa mem -p 8 -t 1 -P 512 -s 20 -zZ0q --thp 1"
20.175 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.107 secs average thread-runtime
0.433 % difference between max/avg runtime
31.267 GB data processed, per thread
250.133 GB data processed, total
0.645 nsecs/byte/thread runtime
1.550 GB/sec/thread speed
12.398 GB/sec total speed
# Running 8x1-bw-process-NOTHP, "perf bench numa mem -p 8 -t 1 -P 512 -s 20 -zZ0q --thp 1 --thp -1"
20.216 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.113 secs average thread-runtime
0.535 % difference between max/avg runtime
30.998 GB data processed, per thread
247.981 GB data processed, total
0.652 nsecs/byte/thread runtime
1.533 GB/sec/thread speed
12.266 GB/sec total speed
# Running 16x1-bw-process, "perf bench numa mem -p 16 -t 1 -P 256 -s 20 -zZ0q --thp 1"
20.234 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.174 secs average thread-runtime
0.577 % difference between max/avg runtime
15.377 GB data processed, per thread
246.039 GB data processed, total
1.316 nsecs/byte/thread runtime
0.760 GB/sec/thread speed
12.160 GB/sec total speed
# Running 1x4-bw-thread, "perf bench numa mem -p 1 -t 4 -T 256 -s 20 -zZ0q --thp 1"
20.040 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.028 secs average thread-runtime
0.099 % difference between max/avg runtime
66.832 GB data processed, per thread
267.328 GB data processed, total
0.300 nsecs/byte/thread runtime
3.335 GB/sec/thread speed
13.340 GB/sec total speed
# Running 1x8-bw-thread, "perf bench numa mem -p 1 -t 8 -T 256 -s 20 -zZ0q --thp 1"
20.064 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.034 secs average thread-runtime
0.160 % difference between max/avg runtime
32.911 GB data processed, per thread
263.286 GB data processed, total
0.610 nsecs/byte/thread runtime
1.640 GB/sec/thread speed
13.122 GB/sec total speed
# Running 1x16-bw-thread, "perf bench numa mem -p 1 -t 16 -T 128 -s 20 -zZ0q --thp 1"
20.092 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.052 secs average thread-runtime
0.230 % difference between max/avg runtime
16.131 GB data processed, per thread
258.088 GB data processed, total
1.246 nsecs/byte/thread runtime
0.803 GB/sec/thread speed
12.845 GB/sec total speed
# Running 1x32-bw-thread, "perf bench numa mem -p 1 -t 32 -T 64 -s 20 -zZ0q --thp 1"
20.099 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.063 secs average thread-runtime
0.247 % difference between max/avg runtime
7.962 GB data processed, per thread
254.773 GB data processed, total
2.525 nsecs/byte/thread runtime
0.396 GB/sec/thread speed
12.676 GB/sec total speed
# Running 2x3-bw-process, "perf bench numa mem -p 2 -t 3 -P 512 -s 20 -zZ0q --thp 1"
20.150 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.120 secs average thread-runtime
0.372 % difference between max/avg runtime
44.827 GB data processed, per thread
268.960 GB data processed, total
0.450 nsecs/byte/thread runtime
2.225 GB/sec/thread speed
13.348 GB/sec total speed
# Running 4x4-bw-process, "perf bench numa mem -p 4 -t 4 -P 512 -s 20 -zZ0q --thp 1"
20.258 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.168 secs average thread-runtime
0.636 % difference between max/avg runtime
17.079 GB data processed, per thread
273.263 GB data processed, total
1.186 nsecs/byte/thread runtime
0.843 GB/sec/thread speed
13.489 GB/sec total speed
# Running 4x6-bw-process, "perf bench numa mem -p 4 -t 6 -P 512 -s 20 -zZ0q --thp 1"
20.559 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.382 secs average thread-runtime
1.359 % difference between max/avg runtime
10.758 GB data processed, per thread
258.201 GB data processed, total
1.911 nsecs/byte/thread runtime
0.523 GB/sec/thread speed
12.559 GB/sec total speed
# Running 4x8-bw-process, "perf bench numa mem -p 4 -t 8 -P 512 -s 20 -zZ0q --thp 1"
20.744 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.516 secs average thread-runtime
1.792 % difference between max/avg runtime
8.069 GB data processed, per thread
258.201 GB data processed, total
2.571 nsecs/byte/thread runtime
0.389 GB/sec/thread speed
12.447 GB/sec total speed
# Running 4x8-bw-process-NOTHP, "perf bench numa mem -p 4 -t 8 -P 512 -s 20 -zZ0q --thp 1 --thp -1"
20.855 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.561 secs average thread-runtime
2.050 % difference between max/avg runtime
8.069 GB data processed, per thread
258.201 GB data processed, total
2.585 nsecs/byte/thread runtime
0.387 GB/sec/thread speed
12.381 GB/sec total speed
# Running 3x3-bw-process, "perf bench numa mem -p 3 -t 3 -P 512 -s 20 -zZ0q --thp 1"
20.134 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.077 secs average thread-runtime
0.333 % difference between max/avg runtime
28.091 GB data processed, per thread
252.822 GB data processed, total
0.717 nsecs/byte/thread runtime
1.395 GB/sec/thread speed
12.557 GB/sec total speed
# Running 5x5-bw-process, "perf bench numa mem -p 5 -t 5 -P 512 -s 20 -zZ0q --thp 1"
20.588 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.375 secs average thread-runtime
1.427 % difference between max/avg runtime
10.177 GB data processed, per thread
254.436 GB data processed, total
2.023 nsecs/byte/thread runtime
0.494 GB/sec/thread speed
12.359 GB/sec total speed
# Running 2x16-bw-process, "perf bench numa mem -p 2 -t 16 -P 512 -s 20 -zZ0q --thp 1"
20.657 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.429 secs average thread-runtime
1.589 % difference between max/avg runtime
8.170 GB data processed, per thread
261.429 GB data processed, total
2.528 nsecs/byte/thread runtime
0.395 GB/sec/thread speed
12.656 GB/sec total speed
# Running 1x32-bw-process, "perf bench numa mem -p 1 -t 32 -P 2048 -s 20 -zZ0q --thp 1"
22.981 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
21.996 secs average thread-runtime
6.486 % difference between max/avg runtime
8.863 GB data processed, per thread
283.606 GB data processed, total
2.593 nsecs/byte/thread runtime
0.386 GB/sec/thread speed
12.341 GB/sec total speed
# Running numa02-bw, "perf bench numa mem -p 1 -t 32 -T 32 -s 20 -zZ0q --thp 1"
20.047 secs slowest (max) thread-runtime
19.000 secs fastest (min) thread-runtime
20.026 secs average thread-runtime
2.611 % difference between max/avg runtime
8.441 GB data processed, per thread
270.111 GB data processed, total
2.375 nsecs/byte/thread runtime
0.421 GB/sec/thread speed
13.474 GB/sec total speed
# Running numa02-bw-NOTHP, "perf bench numa mem -p 1 -t 32 -T 32 -s 20 -zZ0q --thp 1 --thp -1"
20.088 secs slowest (max) thread-runtime
19.000 secs fastest (min) thread-runtime
20.025 secs average thread-runtime
2.709 % difference between max/avg runtime
8.411 GB data processed, per thread
269.142 GB data processed, total
2.388 nsecs/byte/thread runtime
0.419 GB/sec/thread speed
13.398 GB/sec total speed
# Running numa01-bw-thread, "perf bench numa mem -p 2 -t 16 -T 192 -s 20 -zZ0q --thp 1"
20.293 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.175 secs average thread-runtime
0.721 % difference between max/avg runtime
7.918 GB data processed, per thread
253.374 GB data processed, total
2.563 nsecs/byte/thread runtime
0.390 GB/sec/thread speed
12.486 GB/sec total speed
# Running numa01-bw-thread-NOTHP, "perf bench numa mem -p 2 -t 16 -T 192 -s 20 -zZ0q --thp 1 --thp -1"
20.411 secs slowest (max) thread-runtime
20.000 secs fastest (min) thread-runtime
20.226 secs average thread-runtime
1.006 % difference between max/avg runtime
7.931 GB data processed, per thread
253.778 GB data processed, total
2.574 nsecs/byte/thread runtime
0.389 GB/sec/thread speed
12.434 GB/sec total speed
#
Signed-off-by: Ian Rogers <irogers@google.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com>
Link: https://lore.kernel.org/r/20201012161611.366482-1-irogers@google.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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The event code for events referencing std arch events is incorrectly
evaluated in json_events().
The issue is that je.event is evaluated properly from try_fixup(), but
later NULLified from the real_event() call, as "event" may be NULL.
Fix by setting "event" same je.event in try_fixup().
Also remove support for overwriting event code for events using std arch
events, as it is not used.
Signed-off-by: John Garry <john.garry@huawei.com>
Reviewed-By: Kajol Jain<kjain@linux.ibm.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Link: https://lore.kernel.org/r/1602170368-11892-1-git-send-email-john.garry@huawei.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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This patch enables perf-diff with "--stream" option.
"--stream": Enable hot streams comparison
Now let's see example.
perf record -b ... Generate perf.data.old with branch data
perf record -b ... Generate perf.data with branch data
perf diff --stream
[ Matched hot streams ]
hot chain pair 1:
cycles: 1, hits: 27.77% cycles: 1, hits: 9.24%
--------------------------- --------------------------
main div.c:39 main div.c:39
main div.c:44 main div.c:44
hot chain pair 2:
cycles: 34, hits: 20.06% cycles: 27, hits: 16.98%
--------------------------- --------------------------
__random_r random_r.c:360 __random_r random_r.c:360
__random_r random_r.c:388 __random_r random_r.c:388
__random_r random_r.c:388 __random_r random_r.c:388
__random_r random_r.c:380 __random_r random_r.c:380
__random_r random_r.c:357 __random_r random_r.c:357
__random random.c:293 __random random.c:293
__random random.c:293 __random random.c:293
__random random.c:291 __random random.c:291
__random random.c:291 __random random.c:291
__random random.c:291 __random random.c:291
__random random.c:288 __random random.c:288
rand rand.c:27 rand rand.c:27
rand rand.c:26 rand rand.c:26
rand@plt rand@plt
rand@plt rand@plt
compute_flag div.c:25 compute_flag div.c:25
compute_flag div.c:22 compute_flag div.c:22
main div.c:40 main div.c:40
main div.c:40 main div.c:40
main div.c:39 main div.c:39
hot chain pair 3:
cycles: 9, hits: 4.48% cycles: 6, hits: 4.51%
--------------------------- --------------------------
__random_r random_r.c:360 __random_r random_r.c:360
__random_r random_r.c:388 __random_r random_r.c:388
__random_r random_r.c:388 __random_r random_r.c:388
__random_r random_r.c:380 __random_r random_r.c:380
[ Hot streams in old perf data only ]
hot chain 1:
cycles: 18, hits: 6.75%
--------------------------
__random_r random_r.c:360
__random_r random_r.c:388
__random_r random_r.c:388
__random_r random_r.c:380
__random_r random_r.c:357
__random random.c:293
__random random.c:293
__random random.c:291
__random random.c:291
__random random.c:291
__random random.c:288
rand rand.c:27
rand rand.c:26
rand@plt
rand@plt
compute_flag div.c:25
compute_flag div.c:22
main div.c:40
hot chain 2:
cycles: 29, hits: 2.78%
--------------------------
compute_flag div.c:22
main div.c:40
main div.c:40
main div.c:39
[ Hot streams in new perf data only ]
hot chain 1:
cycles: 4, hits: 4.54%
--------------------------
main div.c:42
compute_flag div.c:28
hot chain 2:
cycles: 5, hits: 3.51%
--------------------------
main div.c:39
main div.c:44
main div.c:42
compute_flag div.c:28
Signed-off-by: Jin Yao <yao.jin@linux.intel.com>
Acked-by: Jiri Olsa <jolsa@kernel.org>
Link: https://lore.kernel.org/r/20201009022845.13141-8-yao.jin@linux.intel.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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We show the streams separately. They are divided into different sections.
1. "Matched hot streams"
2. "Hot streams in old perf data only"
3. "Hot streams in new perf data only".
For each stream, we report the cycles and hot percent (hits%).
For example,
cycles: 2, hits: 4.08%
--------------------------
main div.c:42
compute_flag div.c:28
Signed-off-by: Jin Yao <yao.jin@linux.intel.com>
Acked-by: Jiri Olsa <jolsa@kernel.org>
Link: https://lore.kernel.org/r/20201009022845.13141-7-yao.jin@linux.intel.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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We have used callchain_node->hit to measure the hot level of one stream.
This patch calculates the sum of hits of total streams.
Thus in next patch, we can use following formula to report hot percent
for one stream.
hot percent = callchain_node->hit / sum of total hits
Signed-off-by: Jin Yao <yao.jin@linux.intel.com>
Acked-by: Jiri Olsa <jolsa@kernel.org>
Link: https://lore.kernel.org/r/20201009022845.13141-6-yao.jin@linux.intel.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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In previous patch, we have created an evsel_streams for one event, and
top N hottest streams will be saved in a stream array in evsel_streams.
This patch compares total streams among two evsel_streams.
Once two streams are fully matched, they will be linked as a pair. From
the pair, we can know which streams are matched.
Signed-off-by: Jin Yao <yao.jin@linux.intel.com>
Acked-by: Jiri Olsa <jolsa@kernel.org>
Link: https://lore.kernel.org/r/20201009022845.13141-5-yao.jin@linux.intel.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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Stream is the branch history which is aggregated by the branch records
from perf samples. Now we support the callchain as stream.
If the callchain entries of one stream are fully matched with the
callchain entries of another stream, we think two streams are matched.
For example,
cycles: 1, hits: 26.80% cycles: 1, hits: 27.30%
----------------------- -----------------------
main div.c:39 main div.c:39
main div.c:44 main div.c:44
Above two streams are matched (we don't consider the case that source
code is changed).
The matching logic is, compare the chain string first. If it's not
matched, fallback to dso address comparison.
Signed-off-by: Jin Yao <yao.jin@linux.intel.com>
Acked-by: Jiri Olsa <jolsa@kernel.org>
Link: https://lore.kernel.org/r/20201009022845.13141-4-yao.jin@linux.intel.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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In previous patch, we have created evsel_streams array.
This patch returns the specified evsel_streams according to the
evsel_idx.
Signed-off-by: Jin Yao <yao.jin@linux.intel.com>
Acked-by: Jiri Olsa <jolsa@kernel.org>
Link: https://lore.kernel.org/r/20201009022845.13141-3-yao.jin@linux.intel.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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We define a stream as the branch history which is aggregated by the
branch records from perf samples. For example, the callchains aggregated
from the branch records are considered as streams. By browsing the hot
stream, we can understand the hot code path.
Now we only support the callchain for stream. For measuring the hot
level for a stream, we use the callchain_node->hit, higher is hotter.
There may be many callchains sampled so we only focus on the top N
hottest callchains. N is a user defined parameter or predefined default
value (nr_streams_max).
This patch creates an evsel_streams array per event, and saves the top N
hottest streams in a stream array.
So now we can get the per-event top N hottest streams.
Signed-off-by: Jin Yao <yao.jin@linux.intel.com>
Acked-by: Jiri Olsa <jolsa@kernel.org>
Link: https://lore.kernel.org/r/20201009022845.13141-2-yao.jin@linux.intel.com
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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Document the higher level --insn-trace etc. perf script options.
Include the howto how to build xed into the manpage
Signed-off-by: Andi Kleen <ak@linux.intel.com>
Cc: Adrian Hunter <adrian.hunter@intel.com>
Cc: Jiri Olsa <jolsa@kernel.org>
Link: http://lore.kernel.org/lkml/20201014035346.4772-1-andi@firstfloor.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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Peter suggested that using the exclusive mode in perf could avoid some
problems with bad scheduling of groups. Exclusive is implemented in the
kernel, but wasn't exposed by the perf tool, so hard to use without
custom low level API users.
Add support for marking groups or events with :e for exclusive in the
perf tool. The implementation is basically the same as the existing
pinned attribute.
Committer testing:
# perf test "parse event"
6: Parse event definition strings : Ok
# perf test -v "parse event" |& grep :u*e
running test 56 'instructions:uep'
running test 57 '{cycles,cache-misses,branch-misses}:e'
#
#
# grep "model name" -m1 /proc/cpuinfo
model name : AMD Ryzen 9 3900X 12-Core Processor
#
# perf stat -a -e '{cycles,cache-misses,branch-misses}:e' sleep 1
Performance counter stats for 'system wide':
<not counted> cycles (0.00%)
<not counted> cache-misses (0.00%)
<not counted> branch-misses (0.00%)
1.001269893 seconds time elapsed
Some events weren't counted. Try disabling the NMI watchdog:
echo 0 > /proc/sys/kernel/nmi_watchdog
perf stat ...
echo 1 > /proc/sys/kernel/nmi_watchdog
# echo 0 > /proc/sys/kernel/nmi_watchdog
# perf stat -a -e '{cycles,cache-misses,branch-misses}:e' sleep 1
Performance counter stats for 'system wide':
1,298,663,141 cycles
30,962,215 cache-misses
5,325,150 branch-misses
1.001474934 seconds time elapsed
#
# The output for asking for precise events on AMD needs to improve, it
# supposedly works only for system wide or per CPU
#
# perf stat -a -e '{cycles,cache-misses,branch-misses}:uep' sleep 1
Error:
The sys_perf_event_open() syscall returned with 22 (Invalid argument) for event (cycles).
/bin/dmesg | grep -i perf may provide additional information.
# perf stat -a -e '{cycles,cache-misses,branch-misses}:ue' sleep 1
Performance counter stats for 'system wide':
746,363,126 cycles
16,881,611 cache-misses
2,871,259 branch-misses
1.001636066 seconds time elapsed
#
Signed-off-by: Andi Kleen <ak@linux.intel.com>
Acked-by: Jiri Olsa <jolsa@kernel.org>
Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com>
Cc: Andi Kleen <ak@linux.intel.com>
Cc: Peter Zijlstra <peterz@infradead.org>
Link: http://lore.kernel.org/lkml/20201014144255.22699-1-andi@firstfloor.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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