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Kan Liang authored
The Topdown Microarchitecture Analysis (TMA) Method is a structured analysis methodology to identify critical performance bottlenecks in out-of-order processors. From the Ice Lake and later platforms, the Topdown information can be retrieved from the dedicated "metrics" register, which isn't impacted by other events. Also, the Topdown metrics support both per thread/process and per core measuring. Adding Topdown metrics events as default events can enrich the default measuring information, and would not cost any extra multiplexing. Introduce arch_evlist__add_default_attrs() to allow architecture specific default events. Add the Topdown metrics events in the X86 specific arch_evlist__add_default_attrs(). Other architectures can add their own default events later separately. With the patch: $ perf stat sleep 1 Performance counter stats for 'sleep 1': 0.82 msec task-clock:u # 0.001 CPUs utilized 0 context-switches:u # 0.000 K/sec 0 cpu-migrations:u # 0.000 K/sec 61 page-faults:u # 0.074 M/sec 319,941 cycles:u # 0.388 GHz 242,802 instructions:u # 0.76 insn per cycle 54,380 branches:u # 66.028 M/sec 4,043 branch-misses:u # 7.43% of all branches 1,585,555 slots:u # 1925.189 M/sec 238,941 topdown-retiring:u # 15.0% retiring 410,378 topdown-bad-spec:u # 25.8% bad speculation 634,222 topdown-fe-bound:u # 39.9% frontend bound 304,675 topdown-be-bound:u # 19.2% backend bound 1.001791625 seconds time elapsed 0.000000000 seconds user 0.001572000 seconds sys Signed-off-by: Kan Liang <kan.liang@linux.intel.com> Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Andi Kleen <ak@linux.intel.com> Cc: Jin Yao <yao.jin@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Namhyung Kim <namhyung@kernel.org> Link: http://lore.kernel.org/lkml/20210121133752.118327-1-kan.liang@linux.intel.comSigned-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
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