CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing

The brain-inspired hyperdimensional computing (HDC) gains attention as a light-weight and extremely parallelizable learning solution alternative to deep neural networks. Prior research shows the effectiveness of HDC-based learning on less powerful systems such as edge computing devices. However, the...

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Veröffentlicht in:	2021 58th ACM/IEEE Design Automation Conference (DAC) S. 775 - 780
Hauptverfasser:	Kim, Yeseong, Kim, Jiseung, Imani, Mohsen
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 05.12.2021
Schlagworte:	Buildings Computational modeling Deep learning Design automation Edge Computing Energy efficiency Hyperdimensional Computing Many-class classification Performance evaluation Training
Online-Zugang:	Volltext
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