I've written a C++ library that does some seriously heavy CPU work (all of it math and calculations) and if left to its own devices, will easily consume 100% of all available CPU resources (it's also multithreaded to the number of available logical cores on the machine).
As such, I have a callback inside the main calculation loop that software using the library is supposed to call:
while(true)
{
//do math here
callback(percent_complete);
}
In the callback, the client calls Sleep(x) to slow down the thread.
Originally, the clientside code was a fixed Sleep(100) call, but this led to bad unreliable performance because some machines finish the math faster than others, but the sleep is the same on all machines. So now the client checks the system time, and if more than 1 second has passed (which == several iterations), it will sleep for half a second.
Is this an acceptable way of slowing down a thread? Should I be using a semaphore/mutex instead of Sleep() in order to maximize performance? Is sleeping x milliseconds for each 1 second of processing work fine or is there something wrong that I'm not noticing?
The reason I ask is that the machine still gets heavily bogged down even though taskman shows the process taking up ~10% of the CPU. I've already explored hard disk and memory contention to no avail, so now I'm wondering if the way I'm slowing down the thread is causing this problem.
Thanks!