内存计算电路评估专用软件平台

Maha Kooli, H. Charles, C. Touzet, B. Giraud, J. Noël
{"title":"内存计算电路评估专用软件平台","authors":"Maha Kooli, H. Charles, C. Touzet, B. Giraud, J. Noël","doi":"10.1145/3130265.3130322","DOIUrl":null,"url":null,"abstract":"This paper presents a new software platform, co-developed by research teams with expertises in memory design, and software engineering and compilation aspects, to dimension and evaluate a novel In-Memory Power Aware CompuTing (IMPACT) system for IoT. IMPACT circuit is an emerging memory that promises to save execution time and power consumption by embedding computing abilities. The proposed platform permits to manually convert a software application from conventional to IMPACT implementation using vector representation. The two implementations are then compiled on the Low Level Virtual Machine (LLVM) and traced in order to evaluate their performance in terms of timing and energy consumption. The results of emulating image-processing and secure applications on IMPACT system show a significant gain in the execution time and the energy consumption compared to a conventional system with an ARM Cortex®-M7 processor. The execution time can be reduced from 50x to 6145x, depending on the application and the workload size. Furthermore, the gain of the energy consumption is about 12.6x.","PeriodicalId":157455,"journal":{"name":"2017 International Symposium on Rapid System Prototyping (RSP)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Software Platform Dedicated for In-Memory Computing Circuit Evaluation\",\"authors\":\"Maha Kooli, H. Charles, C. Touzet, B. Giraud, J. Noël\",\"doi\":\"10.1145/3130265.3130322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new software platform, co-developed by research teams with expertises in memory design, and software engineering and compilation aspects, to dimension and evaluate a novel In-Memory Power Aware CompuTing (IMPACT) system for IoT. IMPACT circuit is an emerging memory that promises to save execution time and power consumption by embedding computing abilities. The proposed platform permits to manually convert a software application from conventional to IMPACT implementation using vector representation. The two implementations are then compiled on the Low Level Virtual Machine (LLVM) and traced in order to evaluate their performance in terms of timing and energy consumption. The results of emulating image-processing and secure applications on IMPACT system show a significant gain in the execution time and the energy consumption compared to a conventional system with an ARM Cortex®-M7 processor. The execution time can be reduced from 50x to 6145x, depending on the application and the workload size. Furthermore, the gain of the energy consumption is about 12.6x.\",\"PeriodicalId\":157455,\"journal\":{\"name\":\"2017 International Symposium on Rapid System Prototyping (RSP)\",\"volume\":\"125 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Symposium on Rapid System Prototyping (RSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3130265.3130322\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Symposium on Rapid System Prototyping (RSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3130265.3130322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

本文介绍了一个新的软件平台,由具有内存设计,软件工程和编译方面专业知识的研究团队共同开发,用于测量和评估用于物联网的新型内存电源感知计算(IMPACT)系统。IMPACT电路是一种新兴的存储器,它承诺通过嵌入计算能力来节省执行时间和功耗。提出的平台允许使用矢量表示将软件应用程序从传统实现手动转换为IMPACT实现。然后在低级别虚拟机(Low Level Virtual Machine, LLVM)上编译这两个实现,并对其进行跟踪,以便从时间和能耗方面评估它们的性能。在IMPACT系统上模拟图像处理和安全应用程序的结果表明,与使用ARM Cortex®-M7处理器的传统系统相比,在执行时间和能耗方面有了显著的提高。执行时间可以从50%减少到6145倍,具体取决于应用程序和工作负载大小。此外,能耗增益约为12.6倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Software Platform Dedicated for In-Memory Computing Circuit Evaluation
This paper presents a new software platform, co-developed by research teams with expertises in memory design, and software engineering and compilation aspects, to dimension and evaluate a novel In-Memory Power Aware CompuTing (IMPACT) system for IoT. IMPACT circuit is an emerging memory that promises to save execution time and power consumption by embedding computing abilities. The proposed platform permits to manually convert a software application from conventional to IMPACT implementation using vector representation. The two implementations are then compiled on the Low Level Virtual Machine (LLVM) and traced in order to evaluate their performance in terms of timing and energy consumption. The results of emulating image-processing and secure applications on IMPACT system show a significant gain in the execution time and the energy consumption compared to a conventional system with an ARM Cortex®-M7 processor. The execution time can be reduced from 50x to 6145x, depending on the application and the workload size. Furthermore, the gain of the energy consumption is about 12.6x.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信