Andrea-Claudia Beiu
ABSTRACT
A critical issue for few nanometers technologies is the cost-yield balance, clearly tilted by soaring costs. An option to reduce costs, while also increasing yield, is to use reliability enhancement schemes. Unfortunately, these are considered power-hungry (due to redundancy), and entailing complex designs. From biology, neurons are prime examples of efficiency, achieving outstanding communication reliabilities, although relying on random ion channels. Aiming to bridge from biology to circuits, we will show how overlooked statistical results (about linear consecutive systems), combined with a Binet-like formula (for Fibonacci numbers of higher orders), allow avoiding lengthy reliability calculations, and present a straightforward neuron-inspired optimal design scheme for reliable communications.
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Index Terms
- Optimal design of linear consecutive systems
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