找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Minimizing and Exploiting Leakage in VLSI Design; Nikhil Jayakumar,Suganth Paul,Sunil P. Khatri Book 2010 Springer-Verlag US 2010 ASIC.EDA

[復(fù)制鏈接]
查看: 32419|回復(fù): 35
樓主
發(fā)表于 2025-3-21 18:43:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Minimizing and Exploiting Leakage in VLSI Design
編輯Nikhil Jayakumar,Suganth Paul,Sunil P. Khatri
視頻videohttp://file.papertrans.cn/635/634623/634623.mp4
概述Provides a variety of approaches to control and exploit leakage.Examines the issues with implementing sub-threshold logic and describes techniques to tackle these issues.Presents a new, practical self
圖書封面Titlebook: Minimizing and Exploiting Leakage in VLSI Design;  Nikhil Jayakumar,Suganth Paul,Sunil P. Khatri Book 2010 Springer-Verlag US 2010 ASIC.EDA
描述.Power consumption of VLSI (Very Large Scale Integrated) circuits has been growing at an alarmingly rapid rate. This increase in power consumption, coupled with the increasing demand for portable/hand-held electronics, has made power consumption a dominant concern in the design of VLSI circuits today. Traditionally, dynamic (switching) power has dominated the total power consumption of an IC. However, due to current scaling trends, leakage power has now become a major component of the total power consumption in VLSI circuits. Leakage power reduction is especially important in portable/hand-held electronics such as cell-phones and PDAs. This book presents two techniques aimed at reducing leakage power in digital VLSI ICs. The first technique reduces leakage through the selective use of high threshold voltage sleep transistors. The second technique reduces leakage by applying the optimal Reverse Body Bias (RBB) voltage. This book also shows readers how to turn the leakage problem into an opportunity, through the use of sub-threshold logic..
出版日期Book 2010
關(guān)鍵詞ASIC; EDA; Electronic Design Automation; Leakage; Low Power Design; Sub-threshold logic; Transistor; VLSI; V
版次1
doihttps://doi.org/10.1007/978-1-4419-0950-3
isbn_softcover978-1-4899-8529-3
isbn_ebook978-1-4419-0950-3
copyrightSpringer-Verlag US 2010
The information of publication is updating

書目名稱Minimizing and Exploiting Leakage in VLSI Design影響因子(影響力)




書目名稱Minimizing and Exploiting Leakage in VLSI Design影響因子(影響力)學(xué)科排名




書目名稱Minimizing and Exploiting Leakage in VLSI Design網(wǎng)絡(luò)公開度




書目名稱Minimizing and Exploiting Leakage in VLSI Design網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Minimizing and Exploiting Leakage in VLSI Design被引頻次




書目名稱Minimizing and Exploiting Leakage in VLSI Design被引頻次學(xué)科排名




書目名稱Minimizing and Exploiting Leakage in VLSI Design年度引用




書目名稱Minimizing and Exploiting Leakage in VLSI Design年度引用學(xué)科排名




書目名稱Minimizing and Exploiting Leakage in VLSI Design讀者反饋




書目名稱Minimizing and Exploiting Leakage in VLSI Design讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:42:12 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:50:40 | 只看該作者
地板
發(fā)表于 2025-3-22 07:56:45 | 只看該作者
https://doi.org/10.1007/978-1-4419-0950-3ASIC; EDA; Electronic Design Automation; Leakage; Low Power Design; Sub-threshold logic; Transistor; VLSI; V
5#
發(fā)表于 2025-3-22 10:34:05 | 只看該作者
978-1-4899-8529-3Springer-Verlag US 2010
6#
發(fā)表于 2025-3-22 13:56:49 | 只看該作者
7#
發(fā)表于 2025-3-22 19:16:19 | 只看該作者
8#
發(fā)表于 2025-3-22 23:49:06 | 只看該作者
e second technique reduces leakage by applying the optimal Reverse Body Bias (RBB) voltage. This book also shows readers how to turn the leakage problem into an opportunity, through the use of sub-threshold logic..978-1-4899-8529-3978-1-4419-0950-3
9#
發(fā)表于 2025-3-23 01:49:25 | 只看該作者
10#
發(fā)表于 2025-3-23 07:32:12 | 只看該作者
Self-Competitive Neural NetworksNN tries to improve its accuracy by competing with itself (generating hard samples and then learning them), the technique is called Self-Competitive Neural Network (SCNN). To generate such samples, we pose the problem as an optimization task, where the network weights are fixed and use a gradient de
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-20 19:42
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
堆龙德庆县| 开封县| 江山市| 古交市| 利川市| 三穗县| 嘉鱼县| 双流县| 延边| 万载县| 河北区| 肥西县| 临安市| 闸北区| 黄骅市| 西贡区| 措勤县| 岳阳县| 卓资县| 伊宁县| 凤台县| 恩平市| 和顺县| 简阳市| 黔江区| 平阳县| 田林县| 曲阳县| 德昌县| 扎囊县| 东山县| 长丰县| 大方县| 吐鲁番市| 扶余县| 霍邱县| 凌源市| 宁津县| 当阳市| 乳山市| 南汇区|