Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing 2023
DOI: 10.1007/978-3-031-19568-6_8
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Efficient Deep Learning Using Non-volatile Memory Technology in GPU Architectures

Ahmet Inci,
Mehmet Meric Isgenc,
Diana Marculescu
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Cited by 2 publications
(1 citation statement)
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“…The magnetic tunnel junction (MTJ) consisting of two ferromagnets (FMs) separated by a thin insulator is a crucial component of the reading and writing processes in magnetic data storage systems [3,4]. STT-MRAM is a novel type of non-volatile memory that utilizes magnetic characteristics and magnetization direction to store data in the form of binary bits [5]. The operation of the MTJ-based reader/writer can be controlled by injecting spin current into the structure [6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…The magnetic tunnel junction (MTJ) consisting of two ferromagnets (FMs) separated by a thin insulator is a crucial component of the reading and writing processes in magnetic data storage systems [3,4]. STT-MRAM is a novel type of non-volatile memory that utilizes magnetic characteristics and magnetization direction to store data in the form of binary bits [5]. The operation of the MTJ-based reader/writer can be controlled by injecting spin current into the structure [6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%