3 results about "Hardware random number generator" patented technology

A hardware random number generator (HW-RNG) for drawing samples from a multivariate target distribution through simulation of a Markov chain is disclosed. The HW-RNG (100) has a pipeline architecture operating in cycles. The HW-RNG comprises sets of p-bit devices (112-1; 112-2; 112- N), a programming unit (150) to program the sets of p-bit devices according to a corresponding set of adaptive proposal distributions, selection circuitry (121) to select one of the sets of p-bit devices, a sampling circuit (130) configured to produce a candidate sample from the proposal distribution associated with a selected one of the sets of p-bit devices, and a scheduling unit (140). The scheduling unit (140) is configured to accept the candidate sample with an acceptance probability, and recompute at least one of the proposal distributions that is conditionally dependent on the accepted candidate sample. A programming phase for each set of p-bit devices lasts for x cycles, and there are N > x sets of p-bit devices.

A hardware random number generator (HW-RNG) and related method are disclosed. The HW- RNG comprises a sample generation stage, adapted to produce primary samples from a plurality of primitive probability distributions, a sample processing stage and a control unit. The sample generation stage includes sets of programmable p-bit devices, a programming unit to adjust the mean values for each set of p-bit devices, and a distinct sampling circuit for each set of p-bit devices. The sample processing stage comprises function logic blocks and selection circuitry configured to route at least one subset of the primary samples to a corresponding function logic block. The control unit is configured to obtain information relating to a composition of basis distributions representative of a target distribution, instruct the function logic block to perform at least arithmetic operation identified by the information, instruct the programming unit to program the sets of p-bit devices according to the composition of basis distributions, and generate the select signal to operatively couple the function logic block to sampling circuits that produce primary samples of random variables defined by the composition of basis distributions.

A hardware random number generator (HW-RNG) for drawing samples from a multivariate target distribution through simulation of a Markov chain is disclosed. The HW-RNG (100) has a pipeline architecture operating in cycles. The HW-RNG comprises sets of p-bit devices (112-1; 112-2; 112-N), a programming unit (150) to program the sets of p-bit devices according to a corresponding set of adaptive proposal distributions, selection circuitry (121) to select one of the sets of p-bit devices, a sampling circuit (130) configured to produce a candidate sample from the proposal distribution associated with a selected one of the sets of p-bit devices, and a scheduling unit (140). The scheduling unit (140) is configured to accept the candidate sample with an acceptance probability, and recompute at least one of the proposal distributions that is conditionally dependent on the accepted candidate sample. A programming phase for each set of p-bit devices lasts for x cycles, and there are N > x sets of p-bit devices.