| Session Name: | Math for Game Programmers: Noise-Based RNG |
| Speaker(s): | Squirrel Eiserloh |
| Company Name(s): | SMU Guildhall |
| Track / Format: | Programming |
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| Overview: | Random generation is all the rage, and the C++ language finally offers something better than rand(). However, even Mersenne Twister lacks many highly desirable features. This session will discuss RNGs vs. noise functions, and show how the latter can replace the former in your math library and provide many other benefits (unordered access, better reseeding, record/playback, network loss tolerance, lock-free parallelization, etc.) while being smaller, faster, and easier to use. |
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