randlc


randlc, a C++ code which implements a version of the pseudorandom number generator used by the NAS Parallel Benchmarks.

The generator has the form

        X(K+1) = A * X(K) mod 2^46
      
where the suggested value of the multiplier A is 5^13 = 1220703125.

This scheme generates 2^44 numbers before repeating.

The web site for the NAS Parallel Benchmarks is https://www.nas.nasa.gov/Resources/Software/npb.html.

Licensing:

The computer code and data files described and made available on this web page are distributed under the MIT license

Languages:

randlc is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version and a Python version.

Related Data and Programs:

ASA183, a C++ code which implements the Wichman-Hill pseudorandom number generator.

CPP_RANDOM, C++ codes which illustrate the use of the C++ random number generator routines.

NORMAL, a C++ code which computes a sequence of pseudorandom normally distributed values.

randlc_test

RANLIB, a C++ code which produces random samples from Probability Density Functions (PDF's), including Beta, Chi-square Exponential, F, Gamma, Multivariate normal, Noncentral chi-square, Noncentral F, Univariate normal, random permutations, Real uniform, Binomial, Negative Binomial, Multinomial, Poisson and Integer uniform, by Barry Brown and James Lovato.

RNGLIB, a C++ code which implements a random number generator (RNG) with splitting facilities, allowing multiple independent streams to be computed, by L'Ecuyer and Cote.

UNIFORM, a C++ code which computes elements of a pseudorandom sequence.

Reference:

  1. David Bailey, Eric Barszcz, John Barton, D Browning, Robert Carter, Leonardo Dagum, Rod Fatoohi, Samuel Fineberg, Paul Frederickson, Thomas Lasinski, Robert Schreiber, Horst Simon, V Venkatakrishnan, Sisira Weeratunga,
    The NAS Parallel Benchmarks,
    RNR Technical Report RNR-94-007, March 1994.
  2. Donald Knuth,
    The Art of Computer Programming, Volume 2, Seminumerical Algorithms,
    Third Edition,
    Addison Wesley, 1997,
    ISBN: 0201896842,
    LC: QA76.6.K64.

Source Code:


Last revised on 06 April 2020.