Optimal FPGA Random Number Generator Layout
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Solution Overview
Problem
Production fluctuations in electronic components and FPGA structures negatively affect the quality and entropy of random numbers generated by hardware random number generators implemented on Field Programmable Gate Arrays (FPGAs), leading to inefficiencies in compensating for these issues through existing quality checking and post-processing methods.
Innovation Solution
A method that optimally arranges a hardware random number generator on an FPGA by performing a predetermined test sequence during initialization, comparing results, and reconfiguring the arrangement to achieve higher entropy, using a reconfiguration module to dynamically adapt the basic blocks and store the optimal configuration for subsequent use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quality checking mechanisms and post-processing are used to compensate for production fluctuations, then the quality of random numbers can be improved to some extent, but additional effort and costs are required in design, implementation and operation
Solution Approach 1:
The patent applies preliminary action by determining the optimal arrangement of the random number generator during the initialization phase in production, before the device is put into operation. This advance configuration compensates for production fluctuations without requiring complex quality checking mechanisms or post-processing during operation, thereby improving reliability while minimizing additional design effort
2Reliability
If a fixed physical arrangement is specified for the hardware random number generator, then production fluctuations can be compensated to a limited extent, but the entropy and quality of generated random numbers are still significantly affected by component-specific variations
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the physical arrangement parameters of the random number generator's basic blocks during the initialization phase. Instead of using a fixed arrangement, the system tests different configurations and selects the optimal one based on entropy measurements, thereby adapting to component-specific variations and significantly improving the entropy and quality of generated random numbers
3Measurement precision
If extensive testing and static evaluation are performed to assess the quality of random number generators, then production fluctuations can be detected, but the process is time-consuming and only recognizes defects in selected components
Solution Approach 1:
The patent applies self-service by enabling the random number generator to automatically determine its own optimal arrangement during the initialization phase without requiring extensive external testing and evaluation. The system performs automated entropy-based optimization and stores the optimal configuration for future use, thereby achieving precise quality detection while minimizing time loss
Data Source
Figure 1~2
AI summary
The invention relates to a method for the optimal arrangement (TRNG) of a random number generator on an electronic component (FPGAe), which is implemented as a programmable integrated circuit, in particular as a field-programmable gate array or FPGA, and has a basic structure consisting of a plurality of basic blocks (B1, B2, ...Bn). During an initialization phase, starting from a start configuration (1) for a current arrangement (AN) of the random number generator, the following steps are performed with a predetermined number of repetitions: execution of a predetermined test sequence for the current arrangement (AN) of the random number generator (2); forwarding a test result to a reconfiguration module (RE, 3) and reconfiguring the current arrangement (AN) on the electronic component (FPGAe) by the reconfiguration module (4).In each iteration, the test result of the current arrangement (AN) of the random number generator is compared with the test result of a previous arrangement of the random number generator (4). The current arrangement (AN) of the random number generator is stored in the reconfiguration module (RE) (4) if the test result of the current arrangement (AN) is better than that of the previous arrangement. Using the method according to the invention, an optimal arrangement (TRNG) for a random number generator can be found for the respective electronic component (FPGAe) without manual interaction and with minimal effort.