High-speed Parallel True Random Number Generation Method with Scalability

A technology of true random numbers and generation methods, applied in random number generators, electrical pulse generator circuits, etc., can solve problems such as poor scalability and insufficient code rate, and achieve large-scale parallel computing and high-speed secure network communication. Effect

Active Publication Date: 2017-10-13
TAIYUAN UNIV OF TECH
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  • Abstract
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Problems solved by technology

[0011] The purpose of the present invention is to provide a scalable high-speed parallel true random number generation method to solve the problems of insufficient code rate and poor scalability in the prior art

Method used

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  • High-speed Parallel True Random Number Generation Method with Scalability
  • High-speed Parallel True Random Number Generation Method with Scalability

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with the accompanying drawings and implementation examples, but the implementation examples should not be construed as limiting the present invention.

[0026] figure 1 The flow chart of a kind of scalable high-speed parallel true random number generation method provided by the above-mentioned implementation of the present invention is shown, and the specific generation method steps are as follows:

[0027] Step 1. Use the active mode-locked pulse laser to output an ultrashort optical pulse sequence with a pulse width of about 1.6 ps, a repetition rate of 10 GHz, and a wavelength of 1550 nm. After the pulsed optical amplifier acts on it, its peak power is increased to 2 kW; The ultrashort pulse signal, as a pump source, enters a 5-meter-long high-nonlinear dispersion-shifted optical fiber 3 with a nonlinear coefficient of 25 / W / km (the zero dispersion point is at 1550 nm) through a polarization-maintai...

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Abstract

A scalable high-speed parallel true random number generation method is to spectrally cut the ultrashort pulse sequence generated by optical equipment to obtain N narrowband ultrashort pulse sequences, and then perform time-domain stretching to obtain a wider pulse width The narrow-band short pulse sequence is then converted into an electrical signal, and then entered into an analog-to-digital converter to be converted into a corresponding high and low level, thereby realizing the generation of N-channel independent true random codes with a repetition frequency of f. The random number sequence produced by this method does not have periodicity, and the single-way code rate can reach the order of ten Gbps, and can output at least N=1000 independent, parallel true random codes at the same time, and the existing parallel true random number generator The scalability of the system has been improved by at least 3 to 4 orders of magnitude, which greatly meets the needs of modern large-scale parallel computing and high-speed secure network communication.

Description

technical field [0001] The invention relates to a parallel random number generation method, in particular to a super-expandable high-speed parallel true random number generation method, which is applied to the fields of Monte Carlo simulation, large-scale parallel computing and secure communication. Background technique [0002] Monte Carlo simulation has important applications in nuclear physics, computational chemistry, biomedicine, financial engineering, macroeconomics, meteorology, sociology and other fields. [0003] Random number is the cornerstone of Monte Carlo simulation, its quality determines the accuracy of Monte Carlo simulation, and its rate restricts the simulation speed; and the more random numbers consumed in simulation, the higher the quality requirements for random numbers. [0004] With the increasing complexity of the calculation model and the increasing amount of calculations, the current Monte Carlo simulation generally uses multiple processors to exec...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F7/58H03K3/02
Inventor 王云才李璞张建国张建忠王安帮张明江王冰洁
Owner TAIYUAN UNIV OF TECH
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