MAHASIM: Machine-Learning Hardware Acceleration Using a Software-Defined Intelligent Memory System
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-019-01505-1
Abstract: As computations in machine-learning applications are increasing simultaneously along the size of datasets, the energy and performance costs of data movement dominate that of compute. This issue is more pronounced in embedded systems with limited… read more here.
Keywords: learning hardware; machine learning; memory; memory system ... See more keywords
In-situ Learning in Hardware Compatible Multi-layer Memristive Spiking Neural Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2021.3049487
Abstract: As one of the most promising methods in the next generation of neuromorphic systems, memristor-based spiking neural networks (SNNs) show great advantages in terms of power efficiency, integration density and biological plausibility. However, because of… read more here.
Keywords: spiking neural; multi layer; situ learning; learning hardware ... See more keywords