Abstract: A system can train a generator neural network to produce a trained generator neural network of a generative adversarial network, wherein the trained generator neural network is configured to output a bill of materials in response to receiving functional requirements for a computer system. The system can train a discriminator neural network to produce a trained discriminator neural network of the generative adversarial network, wherein the trained discriminator neural network is configured to output whether the bill of materials received from the trained generator neural network satisfies the functional requirements for the computer system. The system can produce an output bill of materials from the generative adversarial network based on the functional requirements. The system can store the output bill of materials in the system.

Abstract: An electronic circuit includes first and second circuits that include corresponding built-in-self-test (BIST) engines to perform memory testing operations on corresponding first and second memory block and generate first and second memory repair data. A multiplexer receives the first and second memory repair data and selectively transmits the first memory repair data during a first test cycle and the second memory repair data during a second test cycle. A shadow register buffers the first memory repair data during the first test cycle and a fuse processor sequentially receives and stores the first and second memory repair data during the second test cycle.