Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
Generating good pseudo-random numbers
Computational Statistics & Data Analysis
Common defects in initialization of pseudorandom number generators
ACM Transactions on Modeling and Computer Simulation (TOMACS)
TinyMT pseudo random number generator for Erlang
Proceedings of the eleventh ACM SIGPLAN workshop on Erlang workshop
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The stock implementation of Erlang/OTP pseudo random number generator (PRNG), random module, is based on an algorithm developed in 1980s called AS183, and has known statistic deficiencies for large-scale applications. Using modern PRNG algorithms with longer generation periods reduces the deficiencies. This paper is a case study of sfmt-erlang module, an implementation of SIMD-oriented Fast Mersenne Twister (SFMT) PRNG with the native interface functions (NIFs) of Erlang. The test results show the execution speed of the implementation is approximately three times faster than the random module on the x86 and x86_64 architecture computers, and the execution own time for generating single random number sequences is proportional to the internal state table length.