Pattern matching (PM) was first introduced as the semiconductor industry began to shift from simple one-dimensional rule checks to the two-dimensional checks required by sub-resolution lithography.

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It’s no secret that a successful yield ramp directly impacts integrated circuit (IC) product cost and time-to-market. Tools and techniques that help companies ramp to volume faster, while also ...

As design nodes drop below 45nm, design rules are exploding in number and complexity, making design rule checking (DRC) harder and lengthier. What we have observed across the industry is that the ...

Pattern matching is best known for its use in detecting lithographic hotspots, but it’s also widely used across all physical verification flows, and has expanded into design-for-manufacturing (DFM) ...

Python, for all its power and popularity, has long lacked a form of flow control found in other languages—a way to take a value and match it elegantly against one of a number of possible conditions.

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Introduced with the Java 17 release, pattern matching enhances the instanceof operator so Java developers can better check and object's type and extract its components, and more efficiently deal with ...