I would like to know how to profile a pthread mutex to see if there are any locking contention points in my code. (who likes contentious code, right? :) I know how to do a more general profiling of the code, as I mention here. But I would like to know if there are any tools or options available to be able to profile mutex locking that would provide metrics/stats about mutex locking contentions to see if I have any problem areas.
Here's some background and context:
Recently I worked on an embedded C++ project using a Cavium Octeon CPU. The Octeon SDK implements mutex style synchronization using spinlocks. Looking through the Octeon documentation, I came across a way to profile the spinlocks to be able to see how many times each spinlock had to spin while waiting for the lock to become available. To use this I had to do a conditional compile and then it would increment a counter each time the spinlock spun, then I could query the spinner wait value. So, what I did was to encapsulate the spinlock and added the ability to dump the spinlock spinner wait value for all of the spinlocks used in the system. The actual value didnt mean much, but there were a few that had really high values compared to the rest, and I focused on reducing the contention for those.
I know this is probably quite easy for spinlocks, since its just a counter per spin, but reading through the related pthread man pages and header files I havent found anything similar, is there something available for pthread mutex?
I would really like to avoid having to do something hacky like taking the time before and after each lock.
PS: What's the plural of mutex? mutexes, muteces, mutexi, muti??? Mutexes never sounded right to me.
The valgrind
tool drd lets you specify a limit on how long a lock should be waited on before reporting an error.
This site mentions drd
and also mentions their own tool called mutrace
which looks like the kind of tool you're after. It tells you:
e.g.
mutrace: 10 most contended mutexes:
Mutex # Locked Changed Cont. tot.Time[ms] avg.Time[ms] max.Time[ms] Type
35 368268 407 275 120,822 0,000 0,894 normal
5 234645 100 21 86,855 0,000 0,494 normal
26 177324 47 4 98,610 0,001 0,150 normal
19 55758 53 2 23,931 0,000 0,092 normal
53 106 73 1 0,769 0,007 0,160 normal
25 15156 70 1 6,633 0,000 0,019 normal
4 973 10 1 4,376 0,004 0,174 normal
75 68 62 0 0,038 0,001 0,004 normal
9 1663 52 0 1,068 0,001 0,412 normal
3 136553 41 0 61,408 0,000 0,281 normal
... ... ... ... ... ... ... ...
mutrace: Total runtime 9678,142 ms.
You didn't mention your OS. If it's linux, I've used LTT quite a bit for this sort of profiling. It can be useful in two modes:
performance profiling -- e.g. profile your system for N seconds of standard use and then analyze the data
exception profiling -- e.g. run it around the clock in "flight recorder" mode (record the last N seconds of activity) and on some exceptional condition trigger a stop to the flight recorder. Come in the next morning and analyze the data.
I've been using and seeing 'mutexes' as the plural of mutex for years now without complaint. ;>
I found 'mutrace' while exploring for the same use case. I did not use it yet though. It sounded good as it would not affect the runtime much as in valgrind.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With