| 书目名称 | Non-Volatile In-Memory Computing by Spintronics | | 编辑 | Hao Yu,Leibin Ni,Yuhao Wang | | 视频video | | | 丛书名称 | Synthesis Lectures on Emerging Engineering Technologies | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2017 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-02032-2 | | isbn_softcover | 978-3-031-00904-4 | | isbn_ebook | 978-3-031-02032-2Series ISSN 2381-1412 Series E-ISSN 2381-1439 | | issn_series | 2381-1412 | | copyright | Springer Nature Switzerland AG 2017 |
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发表于 2025-3-21 18:54:19
