perf vendor events intel: Refresh silvermont events

Update the silvermont events from 14 to 15. Generation was done using
https://github.com/intel/perfmon.

The most notable change is in corrections to event descriptions.

Signed-off-by: Ian Rogers <[email protected]>
Cc: Adrian Hunter <[email protected]>
Cc: Alexander Shishkin <[email protected]>
Cc: Alexandre Torgue <[email protected]>
Cc: Andrii Nakryiko <[email protected]>
Cc: Athira Rajeev <[email protected]>
Cc: Caleb Biggers <[email protected]>
Cc: Eduard Zingerman <[email protected]>
Cc: Florian Fischer <[email protected]>
Cc: Ingo Molnar <[email protected]>
Cc: James Clark <[email protected]>
Cc: Jing Zhang <[email protected]>
Cc: Jiri Olsa <[email protected]>
Cc: John Garry <[email protected]>
Cc: Kajol Jain <[email protected]>
Cc: Kan Liang <[email protected]>
Cc: Leo Yan <[email protected]>
Cc: Mark Rutland <[email protected]>
Cc: Maxime Coquelin <[email protected]>
Cc: Namhyung Kim <[email protected]>
Cc: Perry Taylor <[email protected]>
Cc: Peter Zijlstra <[email protected]>
Cc: Ravi Bangoria <[email protected]>
Cc: Sandipan Das <[email protected]>
Cc: Sean Christopherson <[email protected]>
Cc: Stephane Eranian <[email protected]>
Cc: Suzuki Poulouse <[email protected]>
Cc: Xing Zhengjun <[email protected]>
Cc: [email protected]
Cc: [email protected]
Link: https://lore.kernel.org/r/[email protected]
Signed-off-by: Arnaldo Carvalho de Melo <[email protected]>

3 files changed, 3 insertions, 3 deletions

diff --git a/tools/perf/pmu-events/arch/x86/mapfile.csv b/tools/perf/pmu-events/arch/x86/mapfile.csv
index 1f611a7dbdda..d1d40d0f2b2c 100644
--- a/tools/perf/pmu-events/arch/x86/mapfile.csv
+++ b/tools/perf/pmu-events/arch/x86/mapfile.csv
@@ -23,7 +23,7 @@ GenuineIntel-6-1[AEF],v3,nehalemep,core
 GenuineIntel-6-2E,v3,nehalemex,core
 GenuineIntel-6-2A,v18,sandybridge,core
 GenuineIntel-6-(8F|CF),v1.11,sapphirerapids,core
-GenuineIntel-6-(37|4A|4C|4D|5A),v14,silvermont,core
+GenuineIntel-6-(37|4A|4C|4D|5A),v15,silvermont,core
 GenuineIntel-6-(4E|5E|8E|9E|A5|A6),v53,skylake,core
 GenuineIntel-6-55-[01234],v1.28,skylakex,core
 GenuineIntel-6-86,v1.20,snowridgex,core
diff --git a/tools/perf/pmu-events/arch/x86/silvermont/frontend.json b/tools/perf/pmu-events/arch/x86/silvermont/frontend.json
index c35da10f7133..cd6ed3f59e26 100644
--- a/tools/perf/pmu-events/arch/x86/silvermont/frontend.json
+++ b/tools/perf/pmu-events/arch/x86/silvermont/frontend.json
@@ -11,7 +11,7 @@
         "BriefDescription": "Counts the number of JCC baclears",
         "EventCode": "0xE6",
         "EventName": "BACLEARS.COND",
-        "PublicDescription": "The BACLEARS event counts the number of times the front end is resteered, mainly when the Branch Prediction Unit cannot provide a correct prediction and this is corrected by the Branch Address Calculator at the front end.  The BACLEARS.COND event counts the number of JCC (Jump on Condtional Code) baclears.",
+        "PublicDescription": "The BACLEARS event counts the number of times the front end is resteered, mainly when the Branch Prediction Unit cannot provide a correct prediction and this is corrected by the Branch Address Calculator at the front end.  The BACLEARS.COND event counts the number of JCC (Jump on Conditional Code) baclears.",
         "SampleAfterValue": "200003",
         "UMask": "0x10"
     },
diff --git a/tools/perf/pmu-events/arch/x86/silvermont/pipeline.json b/tools/perf/pmu-events/arch/x86/silvermont/pipeline.json
index 59f6116a7eae..2d4214bf9e39 100644
--- a/tools/perf/pmu-events/arch/x86/silvermont/pipeline.json
+++ b/tools/perf/pmu-events/arch/x86/silvermont/pipeline.json
@@ -228,7 +228,7 @@
         "BriefDescription": "Counts the number of cycles when no uops are allocated, the IQ is empty, and no other condition is blocking allocation.",
         "EventCode": "0xCA",
         "EventName": "NO_ALLOC_CYCLES.NOT_DELIVERED",
-        "PublicDescription": "The NO_ALLOC_CYCLES.NOT_DELIVERED event is used to measure front-end inefficiencies, i.e. when front-end of the machine is not delivering micro-ops to the back-end and the back-end is not stalled. This event can be used to identify if the machine is truly front-end bound.  When this event occurs, it is an indication that the front-end of the machine is operating at less than its theoretical peak performance.  Background: We can think of the processor pipeline as being divided into 2 broader parts: Front-end and Back-end. Front-end is responsible for fetching the instruction, decoding into micro-ops (uops) in machine understandable format and putting them into a micro-op queue to be consumed by back end. The back-end then takes these micro-ops, allocates the required resources.  When all resources are ready, micro-ops are executed. If the back-end is not ready to accept micro-ops from the front-end, then we do not want to count these as front-end bottlenecks.  However, whenever we have bottlenecks in the back-end, we will have allocation unit stalls and eventually forcing the front-end to wait until the back-end is ready to receive more UOPS. This event counts the cycles only when back-end is requesting more uops and front-end is not able to provide them. Some examples of conditions that cause front-end efficiencies are: Icache misses, ITLB misses, and decoder restrictions that limit the the front-end bandwidth.",
+        "PublicDescription": "The NO_ALLOC_CYCLES.NOT_DELIVERED event is used to measure front-end inefficiencies, i.e. when front-end of the machine is not delivering micro-ops to the back-end and the back-end is not stalled. This event can be used to identify if the machine is truly front-end bound.  When this event occurs, it is an indication that the front-end of the machine is operating at less than its theoretical peak performance.  Background: We can think of the processor pipeline as being divided into 2 broader parts: Front-end and Back-end. Front-end is responsible for fetching the instruction, decoding into micro-ops (uops) in machine understandable format and putting them into a micro-op queue to be consumed by back end. The back-end then takes these micro-ops, allocates the required resources.  When all resources are ready, micro-ops are executed. If the back-end is not ready to accept micro-ops from the front-end, then we do not want to count these as front-end bottlenecks.  However, whenever we have bottlenecks in the back-end, we will have allocation unit stalls and eventually forcing the front-end to wait until the back-end is ready to receive more UOPS. This event counts the cycles only when back-end is requesting more uops and front-end is not able to provide them. Some examples of conditions that cause front-end efficiencies are: Icache misses, ITLB misses, and decoder restrictions that limit the front-end bandwidth.",
         "SampleAfterValue": "200003",
         "UMask": "0x50"
     },