RCU- 2m:一个VLSI基数- 2m立方单位

IF 3.1 2区 工程技术 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Transactions on Very Large Scale Integration (VLSI) Systems Pub Date : 2024-11-08 DOI:10.1109/TVLSI.2024.3486237
Eduardo Antonio Ceśar da Costa;Morgana Macedo Azevedo da Rosa
{"title":"RCU- 2m:一个VLSI基数- 2m立方单位","authors":"Eduardo Antonio Ceśar da Costa;Morgana Macedo Azevedo da Rosa","doi":"10.1109/TVLSI.2024.3486237","DOIUrl":null,"url":null,"abstract":"Cubic operations are among the most used arithmetic operations in many applications that demand higher order simultaneous operand computation, such as cryptography and bicubic polynomial interpolation. This article proposes a novel VLSI radix-<inline-formula> <tex-math>$2^{m}$ </tex-math></inline-formula> cubic unit (RCU-<inline-formula> <tex-math>$2^{m}$ </tex-math></inline-formula>) capable of processing cubic operations at m bits simultaneously, with m values of 2 (RCU-4), 3 (RCU-8), and 4 (RCU-16). RCU-16 emerges as the most area-efficient configuration, surpassing RCU-8 and notably outperforming RCU-4. In the 8-bit scenario, RCU-16 achieves remarkable area savings, surpassing the literature’s proposed cubic unit by <inline-formula> <tex-math>$11.58\\times $ </tex-math></inline-formula>. Across all configurations, RCU-<inline-formula> <tex-math>$2^{m}$ </tex-math></inline-formula> consistently outperforms the automatically selected cube unit, with energy savings ranging from <inline-formula> <tex-math>$1.04\\times $ </tex-math></inline-formula> to <inline-formula> <tex-math>$2\\times $ </tex-math></inline-formula>. In application specific integrated circuit (ASIC) and field-programmable gate array (FPGA)-based analyses, RCU-16 consistently exhibits superior performance in both area and energy savings compared with RCU-4, RCU-8, and solutions from the literature. These findings emphasize the importance of adopting radix-<inline-formula> <tex-math>$2^{m}$ </tex-math></inline-formula> configurations, particularly RCU-16, for optimal energy-constrained VLSI applications.","PeriodicalId":13425,"journal":{"name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","volume":"33 3","pages":"733-745"},"PeriodicalIF":3.1000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"RCU- 2m: A VLSI Radix- 2m Cubic Unit\",\"authors\":\"Eduardo Antonio Ceśar da Costa;Morgana Macedo Azevedo da Rosa\",\"doi\":\"10.1109/TVLSI.2024.3486237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cubic operations are among the most used arithmetic operations in many applications that demand higher order simultaneous operand computation, such as cryptography and bicubic polynomial interpolation. This article proposes a novel VLSI radix-<inline-formula> <tex-math>$2^{m}$ </tex-math></inline-formula> cubic unit (RCU-<inline-formula> <tex-math>$2^{m}$ </tex-math></inline-formula>) capable of processing cubic operations at m bits simultaneously, with m values of 2 (RCU-4), 3 (RCU-8), and 4 (RCU-16). RCU-16 emerges as the most area-efficient configuration, surpassing RCU-8 and notably outperforming RCU-4. In the 8-bit scenario, RCU-16 achieves remarkable area savings, surpassing the literature’s proposed cubic unit by <inline-formula> <tex-math>$11.58\\\\times $ </tex-math></inline-formula>. Across all configurations, RCU-<inline-formula> <tex-math>$2^{m}$ </tex-math></inline-formula> consistently outperforms the automatically selected cube unit, with energy savings ranging from <inline-formula> <tex-math>$1.04\\\\times $ </tex-math></inline-formula> to <inline-formula> <tex-math>$2\\\\times $ </tex-math></inline-formula>. In application specific integrated circuit (ASIC) and field-programmable gate array (FPGA)-based analyses, RCU-16 consistently exhibits superior performance in both area and energy savings compared with RCU-4, RCU-8, and solutions from the literature. These findings emphasize the importance of adopting radix-<inline-formula> <tex-math>$2^{m}$ </tex-math></inline-formula> configurations, particularly RCU-16, for optimal energy-constrained VLSI applications.\",\"PeriodicalId\":13425,\"journal\":{\"name\":\"IEEE Transactions on Very Large Scale Integration (VLSI) Systems\",\"volume\":\"33 3\",\"pages\":\"733-745\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Very Large Scale Integration (VLSI) Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10747396/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10747396/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0

摘要

在许多需要高阶同时操作数计算的应用程序(如密码学和双三次多项式插值)中,三次运算是最常用的算术运算之一。本文提出了一种新的VLSI基数- $2^{m}$立方单元(RCU- $2^{m}$),能够同时处理m位的立方运算,m值为2 (RCU-4), 3 (RCU-8)和4 (RCU-16)。RCU-16是面积效率最高的配置,超过了RCU-8,明显优于RCU-4。在8位场景中,RCU-16实现了显著的面积节省,比文献中建议的立方单位节省了11.58美元。在所有配置中,RCU- $2^{m}$始终优于自动选择的立方体单元,节能幅度从1.04美元到2美元不等。在基于应用特定集成电路(ASIC)和现场可编程门阵列(FPGA)的分析中,与RCU-4、RCU-8和文献中的解决方案相比,RCU-16在面积和节能方面始终表现出卓越的性能。这些发现强调了采用基数- $2^{m}$配置的重要性,特别是RCU-16,以获得最佳的能量约束VLSI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
RCU- 2m: A VLSI Radix- 2m Cubic Unit
Cubic operations are among the most used arithmetic operations in many applications that demand higher order simultaneous operand computation, such as cryptography and bicubic polynomial interpolation. This article proposes a novel VLSI radix- $2^{m}$ cubic unit (RCU- $2^{m}$ ) capable of processing cubic operations at m bits simultaneously, with m values of 2 (RCU-4), 3 (RCU-8), and 4 (RCU-16). RCU-16 emerges as the most area-efficient configuration, surpassing RCU-8 and notably outperforming RCU-4. In the 8-bit scenario, RCU-16 achieves remarkable area savings, surpassing the literature’s proposed cubic unit by $11.58\times $ . Across all configurations, RCU- $2^{m}$ consistently outperforms the automatically selected cube unit, with energy savings ranging from $1.04\times $ to $2\times $ . In application specific integrated circuit (ASIC) and field-programmable gate array (FPGA)-based analyses, RCU-16 consistently exhibits superior performance in both area and energy savings compared with RCU-4, RCU-8, and solutions from the literature. These findings emphasize the importance of adopting radix- $2^{m}$ configurations, particularly RCU-16, for optimal energy-constrained VLSI applications.
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
CiteScore
6.40
自引率
7.10%
发文量
187
审稿时长
3.6 months
期刊介绍: The IEEE Transactions on VLSI Systems is published as a monthly journal under the co-sponsorship of the IEEE Circuits and Systems Society, the IEEE Computer Society, and the IEEE Solid-State Circuits Society. Design and realization of microelectronic systems using VLSI/ULSI technologies require close collaboration among scientists and engineers in the fields of systems architecture, logic and circuit design, chips and wafer fabrication, packaging, testing and systems applications. Generation of specifications, design and verification must be performed at all abstraction levels, including the system, register-transfer, logic, circuit, transistor and process levels. To address this critical area through a common forum, the IEEE Transactions on VLSI Systems have been founded. The editorial board, consisting of international experts, invites original papers which emphasize and merit the novel systems integration aspects of microelectronic systems including interactions among systems design and partitioning, logic and memory design, digital and analog circuit design, layout synthesis, CAD tools, chips and wafer fabrication, testing and packaging, and systems level qualification. Thus, the coverage of these Transactions will focus on VLSI/ULSI microelectronic systems integration.
期刊最新文献
A 54.1–387.5-μW 65-nm Multimodal SoC Integrating a Custom CISC Core for Edge IoT Applications A Fast Convergence Background Calibration Technique for Gain Nonlinearity in Pipeline ADCs Highly Reliable RRAM-Based Physical Unclonable Function With Auto-Write Technique A Compact Inverter-Based Neural Amplifier With Local and System Dual CMFB Loops Through Paralleled Pseudo Transconductors Thermal Insights of 3-D BS-PDN in Cloud Server SoC Using TCAD Modeling
×
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学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
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