Jprofiler run in separate thread10/27/2022 ![]() ![]() This is the kind that stops your application periodically and records the instruction pointer. In general, you want to use a sampling profiler. Getting this frame-by-frame immediate feedback can be very helpful for tracking performance problems. Now if something starts using an unexpected amount of CPU time you'll notice it instantly. ![]() Rig it so that 90% of the screen's vertical distance is your intended framerate, then colorcode the major segments of your game engine. Now, in terms of game profiling, one thing I've found greatly useful is to put a little "performance bar" on the side of the screen. Last time I checked, it still had somewhat limited support for Windows, but looking at the page now it looks like it's far far better.Īs a bonus, you get a high-speed memory allocator for free. Just take a look at this for some examples. If you want that - and you do want that - the best I've found is Google Perftools, which does a whole bunch of truly fantastic magic to let you ferret out performance problems trivially. It doesn't, however, go down the call stack to get you a useful performance breakdown - you might know that FunctionThatShouldntBeCalledOften() is using all your CPU because it's being called all the goddamn time, but that doesn't help you track down why. One thousand samples per second, while it sounds like a lot, really doesn't impact your program's performance notably. Very Sleepy is a reasonable shot at a much better approach, namely, sampling the instruction pointer relatively infrequently. Partly, this problem isn't solvable - you really can't measure performance without changing it. Good job, now you can start fixing your bottlenecks! Except you can't because your bottlenecks are completely different. ![]() You plug in gprof and suddenly all those billion function calls have substantial extra overhead and your "10% of the CPU" function is eating 90% of the CPU, while your actual 90% of the CPU function is down to 10%. So you've got two functions, and one of them uses 10% of your CPU and makes a billion function calls, and the other one uses 90% of your CPU and makes zero function calls. Sounds great, right? Lots of data! The problem is that instrumenting function calls takes CPU time. #JPROFILER RUN IN SEPARATE THREAD HOW TO#Gprof - the GNU profiler - is a great example of how to royally fuck up a profiler. Most profilers I've used are absolutely atrocious. ![]()
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |