mirror of
https://github.com/ClusterCockpit/cc-metric-collector.git
synced 2024-11-10 12:37:25 +01:00
35 lines
1.1 KiB
Plaintext
35 lines
1.1 KiB
Plaintext
|
SHORT L2 cache miss rate/ratio
|
||
|
|
||
|
EVENTSET
|
||
|
FIXC0 INSTR_RETIRED_ANY
|
||
|
FIXC1 CPU_CLK_UNHALTED_CORE
|
||
|
FIXC2 CPU_CLK_UNHALTED_REF
|
||
|
PMC0 L2_TRANS_ALL_REQUESTS
|
||
|
PMC1 L2_RQSTS_MISS
|
||
|
|
||
|
METRICS
|
||
|
Runtime (RDTSC) [s] time
|
||
|
Runtime unhalted [s] FIXC1*inverseClock
|
||
|
Clock [MHz] 1.E-06*(FIXC1/FIXC2)/inverseClock
|
||
|
CPI FIXC1/FIXC0
|
||
|
L2 request rate PMC0/FIXC0
|
||
|
L2 miss rate PMC1/FIXC0
|
||
|
L2 miss ratio PMC1/PMC0
|
||
|
|
||
|
LONG
|
||
|
Formulas:
|
||
|
L2 request rate = L2_TRANS_ALL_REQUESTS/INSTR_RETIRED_ANY
|
||
|
L2 miss rate = L2_RQSTS_MISS/INSTR_RETIRED_ANY
|
||
|
L2 miss ratio = L2_RQSTS_MISS/L2_TRANS_ALL_REQUESTS
|
||
|
-
|
||
|
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 on average per instruction.
|
||
|
The L2 miss rate gives a measure how often it was necessary to get
|
||
|
cache lines from memory. And finally L2 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.
|
||
|
|
||
|
|