Titlebook: Non-Volatile In-Memory Computing by Spintronics; Hao Yu,Leibin Ni,Yuhao Wang Book 2017 Springer Nature Switzerland AG 2017

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FLIT

coalition

,In–memory Data Encryption, be limited by the I/O traffic, the transfer of data between processor and memory will also expose the input–output mapping of intermediate computations on I/O channels that are susceptible to semi-invasive and non- invasive attacks. Limited by the simplistic cell-level logic, existing logic-in-memo

大火

,In–memory Data Analytics,rt memory–oriented computing. A big-data–driven application requires huge bandwidth with maintained low–power density. De most widely existed data–driven application is machine learning in big data storage system, as the most exciting feature of future big–data storage system is to find implicit pat

intangibility

2381-1412 ttleneck is from memory, we aim to develop an energy-efficient in-memory computing platform in this book. First, the models of spin-transfer torque magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented computing

Amendment

Etymology

photophobia

aggressor

Book 2017s from memory, we aim to develop an energy-efficient in-memory computing platform in this book. First, the models of spin-transfer torque magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented computing for storag

寒冷