class AnimatedVariable {
int numValues;
std::vector<float> values;
// ...
}
if (!mPrecomputed) {
float idx = time * numValues;
float before = values[idx], after = values[idx+1];
return lerp(before, after, idx - (int)idx);
}
I use xperf and friends a lot and find that they're pretty good, but if vTune offers something substantially better I wouldn't mind taking a look at it.
Also - interesting that you use the Chrome tools to visualize the graphs. I use WPA to view performance graphs and the breakdowns are somewhat similar. I think the regions of interest files can get you the rest of the way.
Thanks for the writeup. It's interesting to see how other people tackle perf analysis.
Talking about optimization, I always wonder why some people have those veeery long loading times. Actually I wonder what is loaded at all. Effects or something? Of course I have no idea of the insides of the game but looking from the outside the map and models should be easily cached.
It would be great to hear more about those loading challenges!
It's much similar to what you have written. When I first learnt about OODA, I was fascinated by how many areas I could suddenly see similar patterns.
BTW the fellow behind OODA (Colonel Boyd) has a fascinating biography that's well worth a read.
There is also other profile info which is gathered by Waffles, stuff like number of visible particles, texture calls, GPU cost per emitter, amongst others, and that information is gathered through another interface.