结合MWCNTB片上互连的有效低功耗ALU设计

Takshashila Pathade, Yash Agrawal, R. Parekh, Mekala Girish Kumar
{"title":"结合MWCNTB片上互连的有效低功耗ALU设计","authors":"Takshashila Pathade, Yash Agrawal, R. Parekh, Mekala Girish Kumar","doi":"10.1109/EPTC56328.2022.10013187","DOIUrl":null,"url":null,"abstract":"Rigorous technology scaling results in embedding billions of transistors and interconnects on to a VLSI chip. This leads to high speed operation and more functionality in integrated circuits (ICs). However there is trade-off between speed and power in VLSI designs. At submicron technology nodes high power consumption becomes a challenging deal. It has been observed from literature that majority of the power dissipation happens in processing elements. One such basic operational component of any processor is arithmetic logic unit (ALU). This unit is designed with the help of combinational digital circuits to perform different arithmetic and logic operations. Data registers are used to hold the operands and result of ALU operation. Hence, for low power application ICs power dissipation at ALU, data registers and interconnections between them need to be taken care. For this purpose this research work has focused on implementing a low power ALU system using graphene based device and interconnects. Carbon nanotube field effect transistors (CNTFETs) are used to design basic logic gates that reduce power consumption of the system while multiwall carbon nanotube bundle (MWCNTB) interconnects are incorporated in connection between data registers that helps to increase speed of the system. 8-bit ALU, and data registers are designed using bottom–up approach, in which each system block is implemented using basic digital circuit. For validation purpose simulated results are compared with CMOS based ALU system. Experimentation is carried out at 22nm technology node. It is speculated from this work that CNTFET are good alternative for CMOS based transistors for low power application as well as higher speed.","PeriodicalId":163034,"journal":{"name":"2022 IEEE 24th Electronics Packaging Technology Conference (EPTC)","volume":"550 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effective Low Power ALU Design with Incorporation of MWCNTB On-chip Interconnects\",\"authors\":\"Takshashila Pathade, Yash Agrawal, R. Parekh, Mekala Girish Kumar\",\"doi\":\"10.1109/EPTC56328.2022.10013187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rigorous technology scaling results in embedding billions of transistors and interconnects on to a VLSI chip. This leads to high speed operation and more functionality in integrated circuits (ICs). However there is trade-off between speed and power in VLSI designs. At submicron technology nodes high power consumption becomes a challenging deal. It has been observed from literature that majority of the power dissipation happens in processing elements. One such basic operational component of any processor is arithmetic logic unit (ALU). This unit is designed with the help of combinational digital circuits to perform different arithmetic and logic operations. Data registers are used to hold the operands and result of ALU operation. Hence, for low power application ICs power dissipation at ALU, data registers and interconnections between them need to be taken care. For this purpose this research work has focused on implementing a low power ALU system using graphene based device and interconnects. Carbon nanotube field effect transistors (CNTFETs) are used to design basic logic gates that reduce power consumption of the system while multiwall carbon nanotube bundle (MWCNTB) interconnects are incorporated in connection between data registers that helps to increase speed of the system. 8-bit ALU, and data registers are designed using bottom–up approach, in which each system block is implemented using basic digital circuit. For validation purpose simulated results are compared with CMOS based ALU system. Experimentation is carried out at 22nm technology node. It is speculated from this work that CNTFET are good alternative for CMOS based transistors for low power application as well as higher speed.\",\"PeriodicalId\":163034,\"journal\":{\"name\":\"2022 IEEE 24th Electronics Packaging Technology Conference (EPTC)\",\"volume\":\"550 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 24th Electronics Packaging Technology Conference (EPTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPTC56328.2022.10013187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 24th Electronics Packaging Technology Conference (EPTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPTC56328.2022.10013187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

严格的技术缩放导致将数十亿个晶体管和互连嵌入到VLSI芯片上。这导致了集成电路(ic)的高速运行和更多功能。然而,在超大规模集成电路设计中,速度和功率之间存在权衡。在亚微米技术节点上,高功耗成为一项具有挑战性的交易。从文献中观察到,大部分功耗发生在加工元件中。任何处理器的一个这样的基本操作组件是算术逻辑单元(ALU)。这个单元是利用组合数字电路来执行不同的算术和逻辑运算。数据寄存器用于保存操作数和ALU操作的结果。因此,对于低功耗应用ic功耗在ALU,数据寄存器和它们之间的互连需要注意。为此,本研究工作的重点是使用基于石墨烯的器件和互连实现低功耗ALU系统。采用碳纳米管场效应晶体管(cntfet)设计基本逻辑门,降低系统功耗;采用多壁碳纳米管束(MWCNTB)互连技术连接数据寄存器,提高系统运行速度。采用自底向上的方法设计8位ALU和数据寄存器,其中每个系统块使用基本数字电路实现。为了验证仿真结果与基于CMOS的ALU系统进行了比较。实验在22nm技术节点上进行。从这项工作推测,CNTFET是CMOS晶体管的低功耗应用和更高速度的良好替代品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effective Low Power ALU Design with Incorporation of MWCNTB On-chip Interconnects
Rigorous technology scaling results in embedding billions of transistors and interconnects on to a VLSI chip. This leads to high speed operation and more functionality in integrated circuits (ICs). However there is trade-off between speed and power in VLSI designs. At submicron technology nodes high power consumption becomes a challenging deal. It has been observed from literature that majority of the power dissipation happens in processing elements. One such basic operational component of any processor is arithmetic logic unit (ALU). This unit is designed with the help of combinational digital circuits to perform different arithmetic and logic operations. Data registers are used to hold the operands and result of ALU operation. Hence, for low power application ICs power dissipation at ALU, data registers and interconnections between them need to be taken care. For this purpose this research work has focused on implementing a low power ALU system using graphene based device and interconnects. Carbon nanotube field effect transistors (CNTFETs) are used to design basic logic gates that reduce power consumption of the system while multiwall carbon nanotube bundle (MWCNTB) interconnects are incorporated in connection between data registers that helps to increase speed of the system. 8-bit ALU, and data registers are designed using bottom–up approach, in which each system block is implemented using basic digital circuit. For validation purpose simulated results are compared with CMOS based ALU system. Experimentation is carried out at 22nm technology node. It is speculated from this work that CNTFET are good alternative for CMOS based transistors for low power application as well as higher speed.
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:481959085
Book学术官方微信