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Design And Investigation Of Genetic Algorithmic And Reinforcement Learning Approaches To Wire Crossing Reductions For Pnml Devices, Alexander Keith Gunter
Design And Investigation Of Genetic Algorithmic And Reinforcement Learning Approaches To Wire Crossing Reductions For Pnml Devices, Alexander Keith Gunter
Electronic Theses and Dissertations
Perpendicular nanomagnet logic (pNML) is an emerging post-CMOS technology which encodes binary data in the polarization of single-domain nanomagnets and performs operations via fringing field interactions. Currently, there is no complete top-down workflow for pNML. Researchers must instead simultaneously handle place-and-route, timing, and logic minimization by hand. These tasks include multiple NP-Hard subproblems, and the lack of automated tools for solving them for pNML precludes the design of large-scale pNML circuits.