Increasing precision of uniform pseudorandom number generators
Vadim Demchik, Alexey Gulov
TL;DR
This paper introduces a method to enhance the precision of uniform pseudorandom number generators by combining lower-precision outputs, especially benefiting GPU computations where precision performance varies.
Contribution
The paper presents a novel general approach for extending pseudorandom number precision by combining two lower-precision generators, optimizing GPU performance.
Findings
Method effectively increases pseudorandom number precision
Applicable to GPU environments with varying precision performance
Improves uniformity and quality of generated numbers
Abstract
A general method to produce uniformly distributed pseudorandom numbers with extended precision by combining two pseudorandom numbers with lower precision is proposed. In particular, this method can be used for pseudorandom number generation with extended precision on graphics processing units (GPU), where the performance of single and double precision operations can vary significantly.
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Taxonomy
TopicsChaos-based Image/Signal Encryption · Cryptographic Implementations and Security · Numerical Methods and Algorithms