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Channel: Semiconductor – Plato Data Intelligence
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Automating Equivalence Checking Workflows for Agile Hardware Design

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Equivalence checking is a critical part of hardware design, ensuring that the design meets the desired specifications and is free of any errors. However, the process of equivalence checking can be time-consuming and labor-intensive, making it difficult to keep up with the rapid pace of agile hardware design. Automating equivalence checking workflows can help streamline the process and make it easier to keep up with the demands of agile hardware design.

Equivalence checking involves comparing two designs to ensure that they are functionally equivalent. This process can be used to verify that a design meets the desired specifications, or to detect any errors in the design. The traditional approach to equivalence checking is manual and involves comparing the two designs line-by-line. This approach is time-consuming and labor-intensive, making it difficult to keep up with the rapid pace of agile hardware design.

Automating equivalence checking workflows can help streamline the process and make it easier to keep up with the demands of agile hardware design. Automation can be used to automate the comparison process, allowing for faster and more accurate results. Automation can also be used to detect any errors in the design quickly and accurately, helping to reduce the time and effort required for manual equivalence checking. Additionally, automation can be used to generate reports on the results of the equivalence checking process, helping to ensure that any errors are identified and corrected quickly.

Automating equivalence checking workflows can help make it easier to keep up with the demands of agile hardware design. Automation can help streamline the process, reduce the time and effort required for manual equivalence checking, and generate reports on the results quickly and accurately. By automating equivalence checking workflows, designers can ensure that their designs meet the desired specifications and are free of any errors.

Source: Plato Data Intelligence: PlatoAiStream


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