节能磁存储元件的近似编程

2015 International Conference on Memristive Systems (MEMRISYS) Pub Date : 2015-11-01 DOI:10.1109/MEMRISYS.2015.7378400

N. Locatelli, A. Vincent, S. Galdin-Retailleau, Jacques-Olivier Klein, D. Querlioz

{"title":"节能磁存储元件的近似编程","authors":"N. Locatelli, A. Vincent, S. Galdin-Retailleau, Jacques-Olivier Klein, D. Querlioz","doi":"10.1109/MEMRISYS.2015.7378400","DOIUrl":null,"url":null,"abstract":"The high density of on-chip nonvolatile memory provided by memristive elements is highly desirable for many applications. However, it raises concerns about finding the best programming strategies to limit the energy consumption of such systems. Here, we highlight the case of magnetic memory, where several unconventional programming strategies can reduce energy consumption, especially for applications in neuromorphic computing.","PeriodicalId":159041,"journal":{"name":"2015 International Conference on Memristive Systems (MEMRISYS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Approximate programming of magnetic memory elements for energy saving\",\"authors\":\"N. Locatelli, A. Vincent, S. Galdin-Retailleau, Jacques-Olivier Klein, D. Querlioz\",\"doi\":\"10.1109/MEMRISYS.2015.7378400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The high density of on-chip nonvolatile memory provided by memristive elements is highly desirable for many applications. However, it raises concerns about finding the best programming strategies to limit the energy consumption of such systems. Here, we highlight the case of magnetic memory, where several unconventional programming strategies can reduce energy consumption, especially for applications in neuromorphic computing.\",\"PeriodicalId\":159041,\"journal\":{\"name\":\"2015 International Conference on Memristive Systems (MEMRISYS)\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Memristive Systems (MEMRISYS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEMRISYS.2015.7378400\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Memristive Systems (MEMRISYS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMRISYS.2015.7378400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

记忆元件提供的片上非易失性存储器的高密度对于许多应用是非常理想的。然而，它引起了人们对寻找最佳编程策略来限制此类系统的能源消耗的关注。在这里，我们重点介绍了磁存储器的情况，其中几种非常规的编程策略可以降低能耗，特别是在神经形态计算中的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Approximate programming of magnetic memory elements for energy saving

The high density of on-chip nonvolatile memory provided by memristive elements is highly desirable for many applications. However, it raises concerns about finding the best programming strategies to limit the energy consumption of such systems. Here, we highlight the case of magnetic memory, where several unconventional programming strategies can reduce energy consumption, especially for applications in neuromorphic computing.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2015 International Conference on Memristive Systems (MEMRISYS)

自引率

0.00%

发文量