While debugging my massively multithreaded C++ application I would notice times where the application would seem to pause for a few moments. During one of these pauses I halted the application and attached to it with the debugger (GDB). From within GDB I listed (
info threads), switched to (
thread ) and looked at the stack (
bt) of each thread running. I saw something surprising and very telling. Nearly every single thread that was supposed to be performing work was actually blocked on a mutex inside of either
It turns out that the standard C library, as provided by GNU, is not very good at multithreaded heap operations on multi-core systems. The system that I am developing on is a quad core hyperthreaded xeon. It also turns out that one of my most important libraries (SNMP++) does a lot of heap operations with
But I Don’t Use
new(), I Create My Objects On The Stack!
Is that right? Do you never use
std::vector? It turns out that most of the standard containers use dynamic memory allocation internally. They must, to manage data that is dynamically sized and larger than the stack. They use RAII techniques to hide that from the user.
It seems that people smarter than I noticed this long before I. There are several solutions out there but most of them are commercial in nature. With one exception: google-perftools. The perftools are totally free for non-commercial and commercial use. Also, they worked the best of the two tools that I tried. Specifically, you are looking for the tcmalloc library. Tcmalloc does a runtime replacement of your
free calls with high performance versions that are tuned to multi-core systems. I cannot fully quantify the performance changes I saw, but I can say that my application went from pausing on occasion for significant periods of time to running flawlessly with no pausing.