4 papers
Efficient Hardware Realizations of Feedforward Artificial Neural Networks
Mohammadreza Esmali Nojehdeh, Sajjad Parvin, Mustafa Altun
This article presents design techniques proposed for efficient hardware implementation of feedforward artificial neural networks (ANNs) under parallel and time-multiplexed architec…
Memristive Learning Cellular Automata: Theory and Applications
Rafailia-Eleni Karamani, Iosif-Angelos Fyrigos, Vasileios Ntinas +6
Memristors are novel non volatile devices that manage to combine storing and processing capabilities in the same physical place.Their nanoscale dimensions and low power consumption…
From Stochastic to Bit Stream Computing: Accurate Implementation of Arithmetic Circuits and Applications in Neural Networks
Ensar Vahapoglu, Mustafa Altun
In this study, we propose a novel computing paradigm "Bit Stream Computing" that is constructed on the logic used in stochastic computing, but does not necessarily employ randomly…
High Speed and Low Power Sensing Schemes for STT-MRAM with IPMTJs
Mesut Atasoyu, Mustafa Altun, Serdar Ozoguz
STT-MRAM with interfacial-anisotropy-type perpendicular MTJ (IPMTJ) is a powerful candidate for the low switching energy design of STT-MRAM. In the literature, the reading operatio…