Vector Statistics (VS) is a component of Intel® Math Kernel Library (Intel® MKL). VS performs a range of statistical computations, including random number generation, summary statistics and convolution calculations.

This document includes an overview, a usage model and testing results of random number generators included in VS.

BRNG Tests Description

BRNG Tests Description contains detailed descriptions and passing criteria of the empirical tests implemented in Vector Statistics.

Basic Random Number Generator Properties and Testing Results

Basic Random Number Generator Properties and Testing Results provides a brief description and properties of each Basic Random Number Generator (BRNG) included in Vector Statistics, BRNG reference information, and BRNG empirical testing results.

Distribution Random Number Generators

Continuous Distribution Random Number Generators and Discrete Distribution Random Number Generators briefly describe the methods used to generate random number sequences from given statistical distributions.

Random Streams and RNGs in Parallel Computation

Random Streams and RNGs in Parallel Computation provides insight into the different aspects of random stream usage model in Vector Statistics and contains instructions on initializing, creating, saving, and restoring random streams.

Other Sections

This document has a range of other information not covered on this page. Other sections contain a typical usage model of random number generators, an overview of methods for generating random numbers from statistical distributions, and a description of the differences between the fast and accurate modes in Intel® MKL random number generators.

Para obtener información más completa sobre las optimizaciones del compilador, consulte nuestro Aviso de optimización.
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