mirror of
https://github.com/ClusterCockpit/cc-metric-collector.git
synced 2024-12-28 16:19:05 +01:00
34 lines
1.1 KiB
Plaintext
34 lines
1.1 KiB
Plaintext
SHORT L2 cache miss rate/ratio
|
|
|
|
EVENTSET
|
|
PMC1 PM_L2_LD_MISS
|
|
PMC2 PM_L2_LD_DISP
|
|
PMC3 PM_L2_ST_DISP
|
|
PMC4 PM_RUN_INST_CMPL
|
|
PMC5 PM_RUN_CYC
|
|
|
|
|
|
METRICS
|
|
Runtime (RDTSC) [s] time
|
|
CPI PMC5/PMC4
|
|
L2 request rate (PMC2+PMC3)/PMC4
|
|
L2 load miss rate PMC1/PMC4
|
|
L2 load miss ratio PMC1/(PMC2+PMC3)
|
|
|
|
LONG
|
|
Formulas:
|
|
L2 request rate = (PM_L2_LD_DISP+PM_L2_ST_DISP)/PM_RUN_INST_CMPL
|
|
L2 load miss rate = (PM_L2_LD_MISS)/PM_RUN_INST_CMPL
|
|
L2 load miss ratio = (PM_L2_LD_MISS)/(PM_L2_LD_DISP+PM_L2_ST_DISP)
|
|
-
|
|
This group measures the locality of your data accesses with regard to the
|
|
L2 Cache. L2 request rate tells you how data intensive your code is
|
|
or how many data accesses you have in average per instruction.
|
|
The L2 miss rate gives a measure how often it was necessary to get
|
|
cachelines from memory. And finally L2 load miss ratio tells you how many of your
|
|
memory references required a cacheline 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.
|
|
|
|
|