Random numbers are often useful during programming - they can be used for rendering pretty animations, generating interesting content in computer games, load balancing, executing a randomized algorithm, etc. Unfortunately, CPUs are deterministic machines, and (controversial RDRAND instruction aside) cannot just generate random numbers out of thin air. This left programmers and computer designers with few options: Invest in additional devices (Hardware Random Number Generators). Use existing h...| msm's home
When you need “random” integers, and it is essential to generate them fast and cheap; then maybe the full featured Pseudo Random Number Generators in the rand module are overkill. This blog post will dive in to new additions to the said module, how the Just-In-Time compiler optimizes them, known tricks, and tries to compare these apples and potatoes.| Erlang/OTP
Generating data with entropy, or random number generation (RNG), is a well-known difficult problem. Many crypto algorithms and protocols assumes random data is available. There are many implementations out there, including /dev/random in the BSD and Linux kernels and API Continue reading Dice Random Numbers→| Simon Josefsson's blog