Hao Yu, Leibin Ni, Yuhao Wang

Non-Volatile In-Memory Computing by Spintronics (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 147
• Erscheinungstermin: 31. Mai 2022
• Englisch
• ISBN-13: 9783031020322
• Artikelnr.: 64124764

Inhaltsangabe

Preface.- Acknowledgments.- Introduction.- Non-volatile Spintronic Device and Circuit.- In-memory Data Encryption.- In-memory Data Analytics.- Authors' Biographies .