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In-situ, In-Memory Stateful Vector Logic Operations based on Voltage Controlled Magnetic Anisotropy
Recently, the exponential increase in compute requirements demanded by emerging applications like artificial intelligence, Internet of things, etc. have rendered the state-of-art von-Neumann machines inefficient in terms of energy and throughput owing to the well-known von-Neumann bottleneck. A prom...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893602/ https://www.ncbi.nlm.nih.gov/pubmed/29636489 http://dx.doi.org/10.1038/s41598-018-23886-2 |
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author | Jaiswal, Akhilesh Agrawal, Amogh Roy, Kaushik |
author_facet | Jaiswal, Akhilesh Agrawal, Amogh Roy, Kaushik |
author_sort | Jaiswal, Akhilesh |
collection | PubMed |
description | Recently, the exponential increase in compute requirements demanded by emerging applications like artificial intelligence, Internet of things, etc. have rendered the state-of-art von-Neumann machines inefficient in terms of energy and throughput owing to the well-known von-Neumann bottleneck. A promising approach to mitigate the bottleneck is to do computations as close to the memory units as possible. One extreme possibility is to do in-situ Boolean logic computations by using stateful devices. Stateful devices are those that can act both as a compute engine and storage device, simultaneously. We propose such stateful, vector, in-memory operations using voltage controlled magnetic anisotropy (VCMA) effect in magnetic tunnel junctions (MTJ). Our proposal is based on the well known manufacturable 1-transistor - 1-MTJ bit-cell and does not require any modifications in the bit-cell circuit or the magnetic device. Instead, we leverage the very physics of the VCMA effect to enable stateful computations. Specifically, we exploit the voltage asymmetry of the VCMA effect to construct stateful IMP (implication) gate and use the precessional switching dynamics of the VCMA devices to propose a massively parallel NOT operation. Further, we show that other gates like AND, OR, NAND, NOR, NIMP (complement of implication) can be implemented using multi-cycle operations. |
format | Online Article Text |
id | pubmed-5893602 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58936022018-04-12 In-situ, In-Memory Stateful Vector Logic Operations based on Voltage Controlled Magnetic Anisotropy Jaiswal, Akhilesh Agrawal, Amogh Roy, Kaushik Sci Rep Article Recently, the exponential increase in compute requirements demanded by emerging applications like artificial intelligence, Internet of things, etc. have rendered the state-of-art von-Neumann machines inefficient in terms of energy and throughput owing to the well-known von-Neumann bottleneck. A promising approach to mitigate the bottleneck is to do computations as close to the memory units as possible. One extreme possibility is to do in-situ Boolean logic computations by using stateful devices. Stateful devices are those that can act both as a compute engine and storage device, simultaneously. We propose such stateful, vector, in-memory operations using voltage controlled magnetic anisotropy (VCMA) effect in magnetic tunnel junctions (MTJ). Our proposal is based on the well known manufacturable 1-transistor - 1-MTJ bit-cell and does not require any modifications in the bit-cell circuit or the magnetic device. Instead, we leverage the very physics of the VCMA effect to enable stateful computations. Specifically, we exploit the voltage asymmetry of the VCMA effect to construct stateful IMP (implication) gate and use the precessional switching dynamics of the VCMA devices to propose a massively parallel NOT operation. Further, we show that other gates like AND, OR, NAND, NOR, NIMP (complement of implication) can be implemented using multi-cycle operations. Nature Publishing Group UK 2018-04-10 /pmc/articles/PMC5893602/ /pubmed/29636489 http://dx.doi.org/10.1038/s41598-018-23886-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jaiswal, Akhilesh Agrawal, Amogh Roy, Kaushik In-situ, In-Memory Stateful Vector Logic Operations based on Voltage Controlled Magnetic Anisotropy |
title | In-situ, In-Memory Stateful Vector Logic Operations based on Voltage Controlled Magnetic Anisotropy |
title_full | In-situ, In-Memory Stateful Vector Logic Operations based on Voltage Controlled Magnetic Anisotropy |
title_fullStr | In-situ, In-Memory Stateful Vector Logic Operations based on Voltage Controlled Magnetic Anisotropy |
title_full_unstemmed | In-situ, In-Memory Stateful Vector Logic Operations based on Voltage Controlled Magnetic Anisotropy |
title_short | In-situ, In-Memory Stateful Vector Logic Operations based on Voltage Controlled Magnetic Anisotropy |
title_sort | in-situ, in-memory stateful vector logic operations based on voltage controlled magnetic anisotropy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893602/ https://www.ncbi.nlm.nih.gov/pubmed/29636489 http://dx.doi.org/10.1038/s41598-018-23886-2 |
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