Device Distributions

oneMKL RNG routines are used to generate random numbers with different types of distributions. Each function group is introduced below by the type of underlying distribution and contains a short description of its functionality, as well as specifications of the call sequence and the explanation of input and output parameters. The Device Continuous Distribution Generators table and Device Discrete Distribution Generators table mention random number generator routines with data types and output distributions, and sets correspondence between data types of the generator routines and the basic random number generators.

Device Continuous Distribution Generators

Type of Distribution	Data Types	BRNG Data Type	Description
uniform (Continuous)	float, double	float, double	Uniform continuous distribution on the interval [a,b)
gaussian	float, double	float, double	Normal (Gaussian) distribution
exponential	float, double	float, double	Exponential distribution
lognormal	float, double	float, double	Lognormal distribution

Device Discrete Distribution Generators

Type of Distribution	Data Types	BRNG Data Type	Description
uniform (Discrete)	integer	float	Uniform discrete distribution on the interval [a,b)
bits	integer	integer	Bits of underlying BRNG integer sequence
uniform_bits	integer	integer	Uniformly distributed bits in 32/64-bit chunks
poisson	integer	integer	Poisson distribution
bernoulli	integer	integer	Bernoulli distribution

NOTE: In case of integer check desired distribution for supported data types.

Parent topic: Random Number Generators Device Routines