This is a finger exercise for experimenting with different approaches to parallelising code. The file alias.c contains an implementation of Vose's alias method for sampling from a finite probability distribution and some timing code. We loop 100 times, performing the following steps:

1. Generate 1,000,000 random numbers, corresponding to weights of a 1,000,000-sided loaded die.
2. Normalise these numbers so that their mean is 1.
3. Construct "dartboard" and "alias" tables allowing us to sample from this distribution in constant time.
4. Roll the die 1,000,000 times.

Steps 1 and 4 are embarrassingly parallel; step 2 is a parallelisable reduction followed by an embarrassingly parallel division; step 3 is easy to parallelise with a work-stealing approach but hard to make data-parallel.