ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
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Generate, initialize, and return a scalar object of type xoshiro256ssg_type. More...
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.
[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,
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,
|
rng
: The output scalar object of type xoshiro256ssg_type containing an instance of a xoshiro256ssg_type random number generator.
Possible calling interfaces ⛓
0 < imageID
must hold for the corresponding input arguments.CHECK_ENABLED=1
.impure
.
Final Remarks ⛓
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For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
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Definition at line 3454 of file pm_distUnif.F90.