Brain-Inspired Hyperdimensional Computing: How Thermal-Friendly for Edge Computing?

Brain-inspired hyperdimensional computing (HDC) is an emerging machine learning (ML) method. It is based on large vectors of binary or bipolar symbols and a few simple mathematical operations. The promise of HDC is a highly efficient implementation for embedded systems, such as wearables. While fast...

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Veröffentlicht in:	IEEE embedded systems letters 2023-03, Vol.15 (1), p.29-32
Hauptverfasser:	Genssler, Paul R., Vas, Austin, Amrouch, Hussam
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Brain Central processing units Convolutional neural network (CNN) Convolutional neural networks CPUs Edge computing embedded system Embedded systems hyperdimensional computing (HDC) Machine learning Mathematical analysis Power consumption Power demand Power management System-on-chip Temperature Temperature measurement Temperature sensors Throttling Training Vectors (mathematics)
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