ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
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pm_distUnif::xoshiro256ssg_typer Interface Reference

Generate, initialize, and return a scalar object of type xoshiro256ssg_type. More...

Detailed Description

Generate, initialize, and return a scalar object of type xoshiro256ssg_type.

This generic interface is the constructor of xoshiro256ssg_type.
Upon return, the output object can be passed to getUnifRand and setUnifRand to generate uniformly-distributed random values of various intrinsic types and kinds.
See the documentation of xoshiro256ssg_type for example usage and calling interface.

Parameters
[in]seed: The input scalar of type integer of kind IK64, containing an integer that serves as the starting point to generate the full deterministic RNG seed.
Specify this input argument if you wish to make random simulations reproducible and deterministic, even between multiple independent runs of the program compiled by the same compiler.
(optional. If missing, it is set to a processor-dependent value based on the current date and time.)
[in]imageID: The input positive scalar integer of default kind IK containing the ID of the current image/thread/process.
This can be,
  1. The Coarray image ID as returned by Fortran intrinsic this_image() within a global team of Coarray images.
  2. The MPI rank of the processor (plus one) as returned by the MPI library intrinsic mpi_comm_rank().
  3. The OpenMP thread number as returned by the OpenMP library intrinsic omp_get_thread_num().
  4. Any (positive) integer that uniquely identifies the current processor from other processes.
The image/process/thread ID can be readily obtained by calling getImageID.
This number will be used to set the RNG seed uniquely on each processor.
(optional. If missing, the RNG seed will be set as if it is called in a serial application (or called on the first image).)
[in]jump: The input vector of size xoshiro256ssStateSize of type integer of kind IK64, whose value sets the jump size of the random number generator.
It can be,
  1. xoshiro256ssJump128, corresponding to a jump size of imageID * 2**128.
    This jump can be used to generate up to 2**128 unique RNG sequences in parallel, each with length 2**128.
  2. xoshiro256ssJump192, corresponding to a jump size of imageID * 2**192.
    This jump can be used to generate up to 2**64 unique RNG sequences in parallel, each with length 2**192.
(optional. default = xoshiro256ssJump128)
Returns
rng : The output scalar object of type xoshiro256ssg_type containing an instance of a xoshiro256ssg_type random number generator.


Possible calling interfaces

use pm_kind, only: IK
type(xoshiro256ssg_type) :: rng
rng = xoshiro256ssg_type(seed = seed, imageID = imageID, jump = jump)
rand = getUnifRand(rng, rand, lb, ub)
call setUnifRand(rng, rand, lb, ub)
call setUnifRand(rng, rand)
Generate and return a scalar or a contiguous array of rank 1 of length s1 of randomly uniformly distr...
Return a uniform random scalar or contiguous array of arbitrary rank of randomly uniformly distribute...
This module contains classes and procedures for computing various statistical quantities related to t...
This module defines the relevant Fortran kind type-parameters frequently used in the ParaMonte librar...
Definition: pm_kind.F90:268
integer, parameter IK
The default integer kind in the ParaMonte library: int32 in Fortran, c_int32_t in C-Fortran Interoper...
Definition: pm_kind.F90:540
This is the derived type for declaring and generating objects of type xoshiro256ssg_type containing a...
Warning
The condition 0 < imageID must hold for the corresponding input arguments.
This condition is verified only if the library is built with the preprocessor macro CHECK_ENABLED=1.
Remarks
The procedures under discussion are impure.
See also
isHead
getUnifCDF
getUnifRand
setUnifRand
getUnifRandState
setUnifRandState
getUnifRandStateSize
xoshiro256ssw_typer
rngf_typer
Test:
test_pm_distUnif


Final Remarks


If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.

  1. If you use any parts or concepts from this library to any extent, please acknowledge the usage by citing the relevant publications of the ParaMonte library.
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This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.

Author:
Fatemeh Bagheri, Wednesday 12:20 AM, October 13, 2021, Dallas, TX

Definition at line 3454 of file pm_distUnif.F90.


The documentation for this interface was generated from the following file: