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Methods and Systems that Generate Random Numbers Based on Nondeterministic Phenomena that are Computationally Initiated and Computationally Accessed Within a Computer System

  • Avishay Yanai (Inventor)
  • , Alex Markuze (Inventor)
  • , John Manferdelli (Inventor)
  • , Igor Golikov (Inventor)
  • , Lttai Abraham (Inventor)
  • , Benny Pinkas (Inventor)
  • , Vmware Llc (Inventor)

Research output: Patent

Abstract

The current document is directed to methods and systems that generate sequences of random numbers. Unlike many currently available random-number generators that continuously measures a physical apparatus or other signal source, the currently disclosed methods and systems employ nondeterministic phenomena that are computationally initiated and computationally accessed within a computer system. The nondeterministic phenomena are often a produced by multiple simultaneously executing, asynchronous threads or other computational entities, with the unpredictability arising from multiple different types and sources of nondeterministic behavior within the computer system. Unlike pseudorandom-number generators, statistics and metrics computed from sequences of random numbers produced by the currently disclosed random-number generators have values close to those expected for a random-selection process. Unlike random numbers that depend on specialized circuitry or single signal sources, the currently disclosed random-number generators used standard components and significant redundancy and robustness to single-point failures.
Original languageEnglish
IPCUS20250117188A1
Priority date25/01/24
StatePublished - 25 Jan 2024

Bibliographical note

[Online; accessed 11. Jun. 2025]

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