Versa: A Dataflow-Centric Multiprocessor with 36 Systolic ARM Cortex-M4F Cores and a Reconfigurable Crossbar-Memory Hierarchy in 28nm

Sung Kim, Morteza Fayazi, A. Daftardar, Kuan-Yu Chen, Jielun Tan, S. Pal, T. Ajayi, Yan Xiong, T. Mudge, C. Chakrabarti, D. Blaauw, R. Dreslinski, Hun-Seok Kim
{"title":"Versa: A Dataflow-Centric Multiprocessor with 36 Systolic ARM Cortex-M4F Cores and a Reconfigurable Crossbar-Memory Hierarchy in 28nm","authors":"Sung Kim, Morteza Fayazi, A. Daftardar, Kuan-Yu Chen, Jielun Tan, S. Pal, T. Ajayi, Yan Xiong, T. Mudge, C. Chakrabarti, D. Blaauw, R. Dreslinski, Hun-Seok Kim","doi":"10.23919/VLSICircuits52068.2021.9492391","DOIUrl":null,"url":null,"abstract":"We present Versa, an energy-efficient processor with 36 systolic ARM Cortex-M4F cores and a runtime-reconfigurable memory hierarchy. Versa exploits algorithm-specific characteristics in order to optimize bandwidth, access latency, and data reuse. Measured on a set of kernels with diverse data access, control, and synchronization characteristics, reconfiguration between different Versa modes yields median energy-efficiency improvements of 11.6× and 37.2× over mobile CPU and GPU baselines, respectively.","PeriodicalId":106356,"journal":{"name":"2021 Symposium on VLSI Circuits","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Symposium on VLSI Circuits","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/VLSICircuits52068.2021.9492391","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

We present Versa, an energy-efficient processor with 36 systolic ARM Cortex-M4F cores and a runtime-reconfigurable memory hierarchy. Versa exploits algorithm-specific characteristics in order to optimize bandwidth, access latency, and data reuse. Measured on a set of kernels with diverse data access, control, and synchronization characteristics, reconfiguration between different Versa modes yields median energy-efficiency improvements of 11.6× and 37.2× over mobile CPU and GPU baselines, respectively.
Versa:一个以数据流为中心的多处理器,具有36个收缩期ARM Cortex-M4F内核和可重构的28纳米交叉条形内存结构
我们提出了Versa,一个具有36个收缩ARM Cortex-M4F内核和运行时可重构内存层次结构的节能处理器。Versa利用特定于算法的特性来优化带宽、访问延迟和数据重用。在一组具有不同数据访问、控制和同步特性的内核上进行测量,不同Versa模式之间的重新配置比移动CPU和GPU基线分别产生11.6倍和37.2倍的中位数能效改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:481959085
Book学术官方微信