cc-metric-collector/collectors/likwid/groups/nehalem/L3CACHE.txt
2021-03-25 14:47:10 +01:00

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SHORT L3 cache miss rate/ratio
EVENTSET
FIXC0 INSTR_RETIRED_ANY
FIXC1 CPU_CLK_UNHALTED_CORE
FIXC2 CPU_CLK_UNHALTED_REF
UPMC0 UNC_L3_HITS_ANY
UPMC1 UNC_L3_MISS_ANY
METRICS
Runtime (RDTSC) [s] time
Runtime unhalted [s] FIXC1*inverseClock
Clock [MHz] 1.E-06*(FIXC1/FIXC2)/inverseClock
CPI FIXC1/FIXC0
L3 request rate (UPMC0+UPMC1)/FIXC0
L3 miss rate UPMC1/FIXC0
L3 miss ratio UPMC1/(UPMC0+UPMC1)
LONG
Formulas:
L3 request rate = (UNC_L3_HITS_ANY+UNC_L3_MISS_ANY)/INSTR_RETIRED_ANY
L3 miss rate = UNC_L3_MISS_ANY/INSTR_RETIRED_ANY
L3 miss ratio = UNC_L3_MISS_ANY/(UNC_L3_HITS_ANY+UNC_L3_MISS_ANY)
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This group measures the locality of your data accesses with regard to the
L3 cache. L3 request rate tells you how data intensive your code is
or how many data accesses you have on average per instruction.
The L3 miss rate gives a measure how often it was necessary to get
cache lines from memory. And finally L3 miss ratio tells you how many of your
memory references required a cache line to be loaded from a higher level.
While the data cache miss rate might be given by your algorithm you should
try to get data cache miss ratio as low as possible by increasing your cache reuse.