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There could be different types of memory in the system. E.g normal System Memory, Persistent Memory. To understand how the workload maps to those memories, it's important to know the I/O statistics of them. Perf can collect physical addresses, but those are raw data. It still needs extra work to resolve the physical addresses. Provide a script to facilitate the physical addresses resolving and I/O statistics. Profile with MEM_INST_RETIRED.ALL_LOADS or MEM_UOPS_RETIRED.ALL_LOADS event if any of them is available. Look up the /proc/iomem and resolve the physical address. Provide memory type summary. Here is an example output: # perf script report mem-phys-addr Event: mem_inst_retired.all_loads:P Memory type count percentage ---------------------------------------- ----------- ----------- System RAM 74 53.2% Persistent Memory 55 39.6% N/A --- Changes since V2: - Apply the new license rules. - Add comments for globals Changes since V1: - Do not mix DLA and Load Latency. Do not compare the loads and stores. Only profile the loads. - Use event name to replace the RAW event Signed-off-by: Kan Liang <Kan.liang@intel.com> Reviewed-by: Andi Kleen <ak@linux.intel.com> Cc: Dan Williams <dan.j.williams@intel.com> Cc: Jiri Olsa <jolsa@kernel.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Philippe Ombredanne <pombredanne@nexb.com> Cc: Stephane Eranian <eranian@google.com> Link: https://lkml.kernel.org/r/1515099595-34770-1-git-send-email-kan.liang@intel.com Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com> |
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trace-event-perl.c | ||
trace-event-python.c |