Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Ensuring reliable computation at the nanoscale requires mechanisms to detect and correct errors during normal circuit operation.   propose a method for designing efficient online error detection schemes for circuits based on the identification of  invariant relationships  in hardware. More specifically,  present a technique that automatically identifies multi-cycle gate-level invariant relationships---where no knowledge of high-level behavioral constraints is required to identify the relationships---and generates the checker logic that verifies these implications. Our results show that cross-cycle implications are particularly useful in discovering difficult-to-detect errors near latch boundaries, and can have a significant impact on boosting error detection rates.
['Nuno Alves', 'Kundan Nepal', 'Jennifer Dworak', 'R.I. Bahar']
I am writing a research paper on a idea Detecting errors using multi-cycle invariance information
[{"from": "human", "value": "I am writing a research paper on a idea Detecting errors using multi-cycle invariance information"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Ensuring reliable computation at the nanoscale requires mechanisms to detect and correct errors during normal circuit operation.   propose a method for designing efficient online error detection schemes for circuits based on the identification of  invariant relationships  in hardware. More specifically,  present a technique that automatically identifies multi-cycle gate-level invariant relationships---where no knowledge of high-level behavioral constraints is required to identify the relationships---and generates the checker logic that verifies these implications. Our results show that cross-cycle implications are particularly useful in discovering difficult-to-detect errors near latch boundaries, and can have a significant impact on boosting error detection rates."}]