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Wednesday, April 1, 2015

The Rktcr Benchmark

In preparing Rktcr for release on Steam, I've been making some minor adjustments to the code and art (Steam Achievements! Blinking characters!). As I've made a bit of a fuss about before, Rktcr is a game that plays exactly the same across three compiler/OS combinations (g++/Debian, clang++/OSX, cl.exe/Windows). As such, part of any update is confirming determinism with an extensive test suite.

Specifically, I have the game compute SHA1 hashes of relevant state as it plays itself on a hand-crafted set of ~1,600 par time paths. Yes, there are over 1,600 individual paths segments you might want to play in Rktcr, and I have a plan to add cheat-proof leaderboards for all of those. But that's a topic for another post.

The Benchmark

So how do my Windows and Linux partitions stack up against each-other on this (blended filesystem/compiler optimization) benchmark? (I'm not testing clang++/OSX since that's not installed on the same machine.)

OSCompilerTime
WindowsVS2013, Update 3120 seconds
WindowsVS2013, Update 4121 seconds
WindowsVS2013, Update 4, optimizations off137 seconds
Linuxg++ 4.8.179 seconds
Linuxg++ 4.9.276 seconds

I'm pretty sure that the one-second difference between VS updates is within noise, though I dread that it may be a performance regression. Turning optimizations off demonstrates that they are at least doing something.

Under Linux, there is a noticeable improvement between the steam-runtime-targeting g++ 4.8 and my system-wide g++ 4.9; whether it's a compiler or standard library difference isn't clear; but it is certainly nice when newer compilers make old code faster.

Finally, I'm surprised that the Windows/VS version is doing so poorly compared to Debian/g++ -- my previous experience has been that cl.exe produces code that is a fair bit faster than either g++ or clang++. I'm left wondering if this particular code is something that cl.exe fails to optimize properly, or if the Windows stack is failing somewhere else (filesystem read performance? standard library implementation?). There could even be exotic hardware causes -- Windows and Linux are run from different [though identically-branded, purchased-at-the-same-time] SSDs -- perhaps one is slower.