Approximate MRAM: High-performance and Power-efficient Computing with MRAM Chips for Error-tolerant Applications

Approximate computing (AC) leverages the inherent error resilience and is used in many big-data applications from various domains such as multimedia, computer vision, signal processing, and machine learning to improve systems performance and power consumption. Like many other approximate circuits an...

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Veröffentlicht in:	arXiv.org 2022-03
Hauptverfasser:	Ferdaus, Farah, B M S Bahar Talukder, Rahman, Md Tauhidur
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computation Computer Science - Emerging Technologies Computer vision Errors Machine learning Multimedia Power consumption Random access memory Resilience Signal processing Tunnel junctions
Online-Zugang:	Volltext
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