CircuitHD: Brain-Inspired Hyperdimensional Computing for Circuit Recognition

CircuitHD: Brain-Inspired Hyperdimensional Computing for Circuit Recognition

Circuits possess an irregular representation. Hence, their data structure (e.g., gate-level netlists) necessitate the encoding into fixed formats like vectors. For machine learning-based tasks, such vectors are the expected format. In contrast, brain-inspired hyperdimensional computing (HDC) can pro...

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Bibliographic Details
Main Authors: Paul R. Genssler, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Hyperdimensional computing
circuit encoding
circuit recognition
hardware intellectual property
Online Access:https://ieeexplore.ieee.org/document/10767403/
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https://ieeexplore.ieee.org/document/10767403/

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