The second has one 64-bit word of state and period 2 64−1. The first has one 32-bit word of state, and period 2 32−1. : 360 Example implementation Ī C version of three xorshift algorithms : 4,5 is given here. Because plain xorshift generators (without a non-linear step) fail some statistical tests, they have been accused of being unreliable. This weakness is amended by combining them with a non-linear function, as described in the original paper. However, they do not pass every statistical test without further refinement. įor execution in software, xorshift generators are among the fastest PRNGs, requiring very small code and state. Like all LFSRs, the parameters have to be chosen very carefully in order to achieve a long period. This makes execution extremely efficient on modern computer architectures, but it does not benefit efficiency in a hardware implementation. They generate the next number in their sequence by repeatedly taking the exclusive or of a number with a bit-shifted version of itself. They are a subset of linear-feedback shift registers (LFSRs) which allow a particularly efficient implementation in software without the excessive use of sparse polynomials. Xorshift random number generators, also called shift-register generators, are a class of pseudorandom number generators that were invented by George Marsaglia. Class of pseudorandom number generators Example random distribution of Xorshift128
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