ATLAS公司的FastTrack处理器(FTK)的关联存储器设计

A. Annovi, M. Beretta, E. Bossini, F. Crescioli, M. Dell'Orso, P. Giannetti, M. Piendibene, I. Sacco, L. Sartori, R. Tripiccione
{"title":"ATLAS公司的FastTrack处理器(FTK)的关联存储器设计","authors":"A. Annovi, M. Beretta, E. Bossini, F. Crescioli, M. Dell'Orso, P. Giannetti, M. Piendibene, I. Sacco, L. Sartori, R. Tripiccione","doi":"10.1109/rtc.2010.5750451","DOIUrl":null,"url":null,"abstract":"We propose a new generation of VLSI processor for pattern recognition based on Associative Memory architecture, optimized for on-line track finding in high-energy physics experiments. We describe the architecture, the technology studies and the prototype design of a new R&D Associative Memory project: it maximizes the pattern density on ASICs, minimizes the power consumption and improves the functionality for the Fast Tracker (FTK) proposed to upgrade the ATLAS trigger at LHC. Finally we will focus on possible future applications inside and outside High Physics Energy (HEP).","PeriodicalId":345878,"journal":{"name":"2010 17th IEEE-NPSS Real Time Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Associative memory design for the FastTrack processor (FTK) at ATLAS\",\"authors\":\"A. Annovi, M. Beretta, E. Bossini, F. Crescioli, M. Dell'Orso, P. Giannetti, M. Piendibene, I. Sacco, L. Sartori, R. Tripiccione\",\"doi\":\"10.1109/rtc.2010.5750451\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new generation of VLSI processor for pattern recognition based on Associative Memory architecture, optimized for on-line track finding in high-energy physics experiments. We describe the architecture, the technology studies and the prototype design of a new R&D Associative Memory project: it maximizes the pattern density on ASICs, minimizes the power consumption and improves the functionality for the Fast Tracker (FTK) proposed to upgrade the ATLAS trigger at LHC. Finally we will focus on possible future applications inside and outside High Physics Energy (HEP).\",\"PeriodicalId\":345878,\"journal\":{\"name\":\"2010 17th IEEE-NPSS Real Time Conference\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 17th IEEE-NPSS Real Time Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/rtc.2010.5750451\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 17th IEEE-NPSS Real Time Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/rtc.2010.5750451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

我们提出了一种基于联想记忆架构的模式识别的新一代VLSI处理器,该处理器针对高能物理实验中的在线寻迹进行了优化。我们描述了一个新的研发关联存储器项目的架构、技术研究和原型设计:它最大限度地提高了asic上的模式密度,最大限度地降低了功耗,并改进了用于升级大型强子对撞机ATLAS触发器的Fast Tracker (FTK)的功能。最后,我们将重点讨论高能(HEP)内部和外部可能的未来应用。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Associative memory design for the FastTrack processor (FTK) at ATLAS
We propose a new generation of VLSI processor for pattern recognition based on Associative Memory architecture, optimized for on-line track finding in high-energy physics experiments. We describe the architecture, the technology studies and the prototype design of a new R&D Associative Memory project: it maximizes the pattern density on ASICs, minimizes the power consumption and improves the functionality for the Fast Tracker (FTK) proposed to upgrade the ATLAS trigger at LHC. Finally we will focus on possible future applications inside and outside High Physics Energy (HEP).
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
期刊最新文献
Commissioning of the ATLAS High Level Trigger with proton collisions at the LHC Development of efficient FPGA-based phase meters for IR-interferometers. optimizations for multi-channel interferometers Real-time control of Extremely Large Telescope mirror systems using on-line high performance computing Developments for the PANDA online high level trigger Commissioning the trigger of the Compact Muon Solenoid experiment at the CERN Large Hadron Collider
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1