Engines (Basic Random Number Generators)
Engines (Basic Random Number Generators)#
oneMKL RNG provides pseudorandom, quasi-random, and non-deterministic random number generators for Data Parallel C++:
Routine |
Description |
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The default random engine |
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The combined multiple recursive pseudorandom number generator |
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Philox4x32-10 counter-based pseudorandom number generator with a period of 2128 |
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The 31-bit multiplicative congruential pseudorandom number generator MCG(1132489760, 231 -1) [L’Ecuyer99] |
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The 32-bit generalized feedback shift register pseudorandom number generator |
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The 59-bit multiplicative congruential pseudorandom number generator |
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Wichmann-Hill pseudorandom number generator (a set of 273 basic generators) from NAG Numerical Libraries [NAG] |
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Mersenne Twister pseudorandom number generator |
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Set of 6024 Mersenne Twister pseudorandom number generators |
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SIMD-oriented Fast Mersenne Twister pseudorandom number generator |
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Sobol quasi-random number generator [Sobol76], [Bratley88], which works in arbitrary dimension. |
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Niederreiter quasi-random number generator [Bratley92], which works in arbitrary dimension. |
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ARS-5 counter-based pseudorandom number generator with a period of 2128, which uses instructions from the AES-NI set |
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Non-deterministic random number generator |
For some basic generators, oneMKL RNG provides two methods of creating independent states in multiprocessor computations, which are the leapfrog method and the block-splitting method. These sequence splitting methods are also useful in sequential Monte Carlo. The description of these functions can be found in the Service Routines section.
In addition, the MT2203 pseudorandom number generator is a set of 6024 generators designed to create up to 6024 independent random sequences, which might be used in parallel Monte Carlo simulations. Another generator that has the same feature is Wichmann-Hill. It allows creating up to 273 independent random streams. The properties of the generators designed for parallel computations are discussed in detail in [Coddington94].
Parent topic: Random Number Generators
default_engine The default random engine (implementation defined)
mrg32k3a The combined multiple recursive pseudorandom number generator MRG32k3a [ L’Ecuyer99a]
philox4x32x10 A Philox4x32-10 counter-based pseudorandom number generator. [Salmon11].
mcg31m1 The 31-bit multiplicative congruential pseudorandom number generator MCG(1132489760, 231 -1) [L’Ecuyer99]
mcg59 The 59-bit multiplicative congruential pseudorandom number generator MCG(1313, 259) from NAG Numerical Libraries [NAG].
r250 The 32-bit generalized feedback shift register pseudorandom number generator GFSR(250,103)[Kirkpatrick81].
wichmann_hill Wichmann-Hill pseudorandom number generator (a set of 273 basic generators) from NAG Numerical Libraries [NAG].
mt19937 Mersenne Twister pseudorandom number generator MT19937 [Matsumoto98] with period length 219937-1 of the produced sequence.
sfmt19937 SIMD-oriented Fast Mersenne Twister pseudorandom number generator SFMT19937 [Saito08] with a period length equal to 219937-1 of the produced sequence.
mt2203 Set of 6024 Mersenne Twister pseudorandom number generators MT2203 [Matsumoto98], [Matsumoto00]. Each of them generates a sequence of period length equal to 22203-1. Parameters of the generators provide mutual independence of the corresponding sequences..
ars5 ARS-5 counter-based pseudorandom number generator with a period of 2128, which uses instructions from the AES-NI set ARS5[Salmon11].
sobol Sobol quasi-random number generator [Sobol76], [Bratley88], which works in arbitrary dimension.
niederreiter Niederreiter quasi-random number generator [Bratley92], which works in arbitrary dimension.
nondeterministic Non-deterministic random number generator.