cc-metric-collector/collectors/likwid/groups/kabini/NUMA_4_7.txt
2021-03-25 14:47:10 +01:00

29 lines
1.1 KiB
Plaintext

SHORT Read/Write Events between the ccNUMA nodes
EVENTSET
UPMC0 UNC_CPU_TO_DRAM_LOCAL_TO_4
UPMC1 UNC_CPU_TO_DRAM_LOCAL_TO_5
UPMC2 UNC_CPU_TO_DRAM_LOCAL_TO_6
UPMC3 UNC_CPU_TO_DRAM_LOCAL_TO_7
METRICS
Runtime (RDTSC) [s] time
DRAM read/write local to 4 [MegaEvents/s] 1.0E-06*UPMC0/time
DRAM read/write local to 5 [MegaEvents/s] 1.0E-06*UPMC1/time
DRAM read/write local to 6 [MegaEvents/s] 1.0E-06*UPMC2/time
DRAM read/write local to 7 [MegaEvents/s] 1.0E-06*UPMC3/time
LONG
Formulas:
DRAM read/write local to 4 [MegaEvents/s] = 1.0E-06*UNC_CPU_TO_DRAM_LOCAL_TO_4/time
DRAM read/write local to 5 [MegaEvents/s] = 1.0E-06*UNC_CPU_TO_DRAM_LOCAL_TO_5/time
DRAM read/write local to 6 [MegaEvents/s] = 1.0E-06*UNC_CPU_TO_DRAM_LOCAL_TO_6/time
DRAM read/write local to 7 [MegaEvents/s] = 1.0E-06*UNC_CPU_TO_DRAM_LOCAL_TO_7/time
-
Profiling group to measure the traffic from local CPU to the different
DRAM NUMA nodes. This group allows to detect NUMA problems in a threaded
code. You must first determine on which memory domains your code is running.
A code should only have significant traffic to its own memory domain.