Leveraging High-Level Synthesis and Large Language Models to Generate, Simulate, and Deploy a Uniform Random Number Generator Hardware Design

Understand

We present a new high-level synthesis methodology for using large language model tools to generate hardware designs.

• The methodology uses exclusively open-source tools excluding the large language model.
• As a case study, we use our methodology to generate a permuted congruential random number generator design with a wishbone interface.
• We verify the functionality and quality of the random number generator design using large language model-generated simulations and the Dieharder randomness test suite.