Non-Volatile In-Memory Computing by Spintronics
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 tun...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Book |
| Language: | English |
| Published: |
Morgan & Claypool
2017
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| Online Access: | https://hdl.handle.net/10356/85458 http://hdl.handle.net/10220/43703 |
| _version_ | 1824455932035203072 |
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| author | Yu, Hao Ni, Leibin Wang, Yuhao |
| author2 | Iniewski, Kris |
| author_facet | Iniewski, Kris Yu, Hao Ni, Leibin Wang, Yuhao |
| author_sort | Yu, Hao |
| collection | NTU |
| description | 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. |
| first_indexed | 2025-02-19T03:46:03Z |
| format | Book |
| id | ntu-10356/85458 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:46:03Z |
| publishDate | 2017 |
| publisher | Morgan & Claypool |
| record_format | dspace |
| spelling | ntu-10356/854582020-03-07T14:05:46Z Non-Volatile In-Memory Computing by Spintronics Yu, Hao Ni, Leibin Wang, Yuhao Iniewski, Kris School of Electrical and Electronic Engineering In-memory computing Spintronics 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. 2017-09-07T07:57:44Z 2019-12-06T16:04:04Z 2017-09-07T07:57:44Z 2019-12-06T16:04:04Z 2017 Book Yu, H., Ni, L., & Wang, Y. (2016). Non-Volatile In-Memory Computing by Spintronics. In K. Iniewski (Ed.), Synthesis Lectures on Emerging Engineering Technologies (Lecture #8). San Rafael, California: Morgan & Claypool. 9781627052948 2381-1412 https://hdl.handle.net/10356/85458 http://hdl.handle.net/10220/43703 10.2200/S00736ED1V01Y201609EET008 en Synthesis Lectures on Emerging Engineering Technologies © 2017 Morgan & Claypool Morgan & Claypool |
| spellingShingle | In-memory computing Spintronics Yu, Hao Ni, Leibin Wang, Yuhao Non-Volatile In-Memory Computing by Spintronics |
| title | Non-Volatile In-Memory Computing by Spintronics |
| title_full | Non-Volatile In-Memory Computing by Spintronics |
| title_fullStr | Non-Volatile In-Memory Computing by Spintronics |
| title_full_unstemmed | Non-Volatile In-Memory Computing by Spintronics |
| title_short | Non-Volatile In-Memory Computing by Spintronics |
| title_sort | non volatile in memory computing by spintronics |
| topic | In-memory computing Spintronics |
| url | https://hdl.handle.net/10356/85458 http://hdl.handle.net/10220/43703 |
| work_keys_str_mv | AT yuhao nonvolatileinmemorycomputingbyspintronics AT nileibin nonvolatileinmemorycomputingbyspintronics AT wangyuhao nonvolatileinmemorycomputingbyspintronics |