Yu, Hao. <br/><br/>
Non-Volatile In-Memory Computing by Spintronics  [electronic resource] / 
by Hao Yu, Leibin Ni, Yuhao Wang. 
 - 1st ed. 2017. 
 - XIII, 147 p.  online resource. 
 - Synthesis Lectures on Emerging Engineering Technologies,  2381-1439 .
 - Synthesis Lectures on Emerging Engineering Technologies, .
<br/><br/>Preface -- Acknowledgments -- Introduction -- Non-volatile Spintronic Device and Circuit -- In-memory Data Encryption -- In-memory Data Analytics -- Authors' Biographies . 
<br/><br/> Exa-scale computing needs to re-examine the existing hardware platform that can support intensive data-oriented computing. Since the main bottleneck 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 for storage, logic, and interconnect. As a result, by utilizing spintronics, in-memory-based computing has been applied for data encryption and machine learning. The implementations of in-memory AES, Simon cipher, as well as interconnect are explained in details. In addition, in-memory-based machine learning and face recognition are also illustrated in this book. 
<br/><br/><label>ISBN: </label>9783031020322 
<br/><br/><label>Standard No.: </label>10.1007/978-3-031-02032-2  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering.<br/>Electrical engineering.<br/>Electronic circuits.<br/>Computers.<br/>Materials science.<br/>Surfaces (Technology).<br/>Thin films.<br/>Technology and Engineering.<br/>Electrical and Electronic Engineering.<br/>Electronic Circuits and Systems.<br/>Computer Hardware.<br/>Materials Science.<br/>Surfaces, Interfaces and Thin Film.
<br/><br/><label>LC Class. No.: </label>T1-995 
<br/><br/><label>Dewey Class. No.: </label>620