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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Non-Volatile In-Memory Computing by Spintronics

Non-Volatile In-Memory Computing by Spintronics

Yu, Hao
Ni, Leibin
Wang, Yuhao

Paperback

Series: Synthesis Lectures on Emerging Engineering Technologies

Technology & EngineeringGeneral ComputersSystem Administration

ISBN10: 3031009045
ISBN13: 9783031009044
Publisher: Springer Nature
Published: Dec 2 2016
Pages: 147
Weight: 0.65
Height: 0.35 Width: 7.50 Depth: 9.25
Language: English
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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