Hi,
Another fun fact I forgot to mention: if I profile only this thread, and
then run opreport with cpu filtering, it only shows results on the right
cpu. So the wrong accounting only happens when I do system wide
profiling. But not just with this thread and function, other functions
appear at the wrong place as well.
Regards,
Zoltan
On 16/01/15 15:38, William Cohen wrote:
On 01/16/2015 09:01 AM, Zoltan Kiss wrote:
Hi,
I'm using OProfile to check some suspicious behaviour of dpdk-pktgen,
and I can see something which troubles me. Either the scheduler lies
about core affinity or Oprofile accounts some samples wrongly.
This userspace app runs in threads, which are assigned explicitly to one
single core with pthread_setaffinity_np (I've added some debug lines
which checks the affinity with pthread_getaffinity_np to make sure that
the affinity was correctly set indeed)
These threads run infinite loops, calling different functions. In my
example one of these functions (pktgen_main_rxtx_loop) should only be
called by the thread on core #1, but in the oprofile results I can see
samples from all other cores as well. I've added a sched_getcpu() call
to every iteration of that infinite loop to check if it runs anywhere
else than core #1, but it seems to be fine.
So my conclusion is that either the scheduler doesn't care about thread
affinity and even sched_getcpu() can't see that, OR, Oprofile falsely
accounts samples to the wrong CPU. Or to the wrong symbol, although I've
added "__attribute__ ((noinline))" to every called function to make sure
that inlineing doesn't screw up anything.
I'm running my tests on Ubuntu Servers with 14.04 with 3.13.0-32 kernel,
the CPU is a desktop kind, i5-4570 @ 3.20GHz (no-HT!) with oprofile 0.9.9.
Anyone have a suggestion about what happens?
Regards,
Zoltan
Hi Zoltan,
Are you using operf or opcontrol to set up the data measurements? It would be
good to provide the command lines that you are using to do the data collection
with oprofile.
"perf stat <command>" or "perf stat -p <list_of_pids>" can show task migration. Look for
the non-zero "cpu-migrations" in the output like in the output below.
$ perf stat -p 29600
^C
Performance counter stats for process id '29600':
4303.761019 task-clock (msec) # 0.305 CPUs utilized
[100.00%]
17,980 context-switches # 0.004 M/sec
[100.00%]
595 cpu-migrations # 0.138 K/sec
[100.00%]
44,212 page-faults # 0.010 M/sec
10,585,868,260 cycles # 2.460 GHz
[100.00%]
6,463,554,435 stalled-cycles-frontend # 61.06% frontend cycles
idle [100.00%]
<not supported> stalled-cycles-backend
10,400,529,789 instructions # 0.98 insns per cycle
# 0.62 stalled cycles
per insn [100.00%]
2,049,813,299 branches # 476.284 M/sec
[100.00%]
48,441,881 branch-misses # 2.36% of all branches
14.112614437 seconds time elapsed
As a check you might try using "perf record <command>" or "perf record -p
<list_of_pids>". Once data collection is done use "perf report --sort=cpu" to see whether samples
were recorded on other processors. That would determine how much the monitored process is beoing scheduled on other cpus.
There is also a systemtap (https://sourceware.org/systemtap/) script
cycle_thief
(https://sourceware.org/systemtap/examples/#process/cycle_thief.stp) that shows
how often tasks are migrated and what other tasks are competing with the pid
for time.
These suggestions should help determine whether oprofile is getting the
attribution of samples wrong or the scheduler is migrating the tasks.
-Will
--
To unsubscribe from this list: send the line "unsubscribe linux-kernel" in
the body of a message to majord...@vger.kernel.org
More majordomo info at http://vger.kernel.org/majordomo-info.html
Please read the FAQ at http://www.tux.org/lkml/
