Optimization Schemes for Large Scale Digital Circuits in Presence of Fabrication Randomness
存在制造随机性的大规模数字电路的优化方案
基本信息
- 批准号:0728969
- 负责人:
- 金额:$ 15万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-09-15 至 2011-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Reduction in fabrication dimensions has resulted in significant increase in the randomness associated with the fabricated parameters of large scale digital circuits. This has begun to severely impact the manufacturing yield and therefore the profitability of the semiconductor industry. In this research the investigators are focusing on developing formal optimization schemes for synthesizing large scale digital circuits while proactively considering randomness induced yield loss as an optimization criteria.As a key intellectual merit, specific digital circuit optimization problem instances that can be modeled as convex programs are being investigated in presence of fabrication randomness. Using a sound mathematical understanding of the nature of the yield loss function, customized optimization algorithms are being developed. Some of these algorithms leverage the special mathematical structure of the problem instances (convexity of the yield loss function in some special cases). For such instances the investigators study modifications of formal convex optimization methods (like cutting plane/interior point etc.) for improving the rates of convergence. In cases where such mathematical properties do not exist, efficient heuristics are being developed. A key agenda under investigation is how should such optimization schemes be integrated with statistical estimation methods (which measure the yield loss for a specific solution instance and are known to be very slow). Improving the productivity and profitability of the semiconductor industry, improving the applicability of nanotechnology (where manufacturing randomness is a major concern) and improving the teaching infrastructure through graduate and undergraduate student training are key broad impacts of this work.
制造尺寸的减小已经导致与大规模数字电路的制造参数相关联的随机性的显著增加。这已经开始严重影响制造产量,从而影响半导体行业的盈利能力。在这项研究中,研究人员正专注于开发正式的优化方案,综合大规模数字电路,同时积极考虑随机性引起的产量损失作为优化criterial.As一个关键的智力优点,具体的数字电路优化问题的实例,可以建模为凸程序正在调查中存在的制造随机性。利用对产量损失函数性质的良好数学理解,正在开发定制的优化算法。这些算法中的一些利用了问题实例的特殊数学结构(在某些特殊情况下产量损失函数的凸性)。对于这种情况,研究人员研究正式凸优化方法的修改(如切割平面/内点等)。以提高收敛速度。在不存在这种数学性质的情况下,正在开发有效的数学方法。正在研究的一个关键议程是如何将这种优化方案与统计估计方法(测量特定解决方案实例的产量损失,并且已知非常缓慢)相结合。提高半导体行业的生产力和盈利能力,提高纳米技术的适用性(其中制造随机性是一个主要问题),并通过研究生和本科生培训改善教学基础设施是这项工作的关键广泛影响。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Ankur Srivastava其他文献
Statistical timing analysis using Kernel smoothing
使用内核平滑进行统计时序分析
- DOI:
10.1109/iccd.2007.4601886 - 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
J. Wong;A. Davoodi;Vishal Khandelwal;Ankur Srivastava;M. Potkonjak - 通讯作者:
M. Potkonjak
A Comprehensive Probabilistic Framework to Learn Air Data from Surface Pressure Measurements
从表面压力测量中了解空气数据的综合概率框架
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Ankur Srivastava;A. Meade - 通讯作者:
A. Meade
Energy-aware video storage and retrieval in server environments
服务器环境中的节能视频存储和检索
- DOI:
10.1109/igcc.2011.6008589 - 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Domenic Forte;Ankur Srivastava - 通讯作者:
Ankur Srivastava
Energy-aware and quality-scalable data placement and retrieval for disks in video server environments
视频服务器环境中磁盘的能源感知和质量可扩展的数据放置和检索
- DOI:
10.1109/iccd.2011.6081447 - 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Domenic Forte;Ankur Srivastava - 通讯作者:
Ankur Srivastava
Sex Disparities in the Management, Outcomes, and Transfer of Patients Hospitalized for Cardiogenic Shock
心源性休克住院患者的管理、结果和转院方面的性别差异
- DOI:
10.1016/j.jscai.2023.101212 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Paulina Luna;Luke K. Kim;I. Yeo;N. Narula;Diala Steitieh;Pritha Subramanyam;M. Karas;E. Iannacone;Yoshifumi Naka;Natalia I Girardi;Ankur Srivastava;David Majure;Jaya Kanduri;Evelyn M Horn;Jim W. Cheung;D. Feldman;Daniel Y. Lu - 通讯作者:
Daniel Y. Lu
Ankur Srivastava的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Ankur Srivastava', 18)}}的其他基金
SaTC: CORE: Small: A High Level Synthesis Approach to Logic Obfuscation
SaTC:核心:小:逻辑混淆的高级综合方法
- 批准号:
1953285 - 财政年份:2020
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
SI2-SSE: 3DSIM: A Unified Framework for 3D CPU Co-Simulation
SI2-SSE:3DSIM:3D CPU 协同仿真的统一框架
- 批准号:
1642424 - 财政年份:2017
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
SHF:Medium:Collaborative Reseach: Electrical-thermal Co-Design of Microfluidically-Cooled 3D IC's
SHF:媒介:协作研究:微流控 3D IC 的电热协同设计
- 批准号:
1302375 - 财政年份:2013
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
TWC: Small: Physically Unclonable Function (PUF) Enhancements Via Lithography and Design Partnership
TWC:小型:通过光刻和设计合作增强物理不可克隆功能 (PUF)
- 批准号:
1223233 - 财政年份:2012
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
CIF: SMALL: Information Theoretic Multi-Core Processor Thermal Profile Estimation
CIF:SMALL:信息论多核处理器热分布估计
- 批准号:
0917057 - 财政年份:2009
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
SGER: Lithography- Constrained Analysis of Very Large Scale Carbon Nanotube and Graphene Strip Embedded CMOS Digital ICs
SGER:超大规模碳纳米管和石墨烯条嵌入式 CMOS 数字 IC 的光刻约束分析
- 批准号:
0634321 - 财政年份:2006
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
相似海外基金
Construction of convex optimization schemes for large-scale subspace clustering and its theoretical guarantees
大规模子空间聚类凸优化方案构建及其理论保证
- 批准号:
19K20336 - 财政年份:2019
- 资助金额:
$ 15万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
CAREER: Investigation of strain and superior functionalization schemes for large enhancement of thermal conductivity in polymer-graphene nanocomposites and binary semiconductors
职业:研究应变和卓越的功能化方案,以大幅提高聚合物-石墨烯纳米复合材料和二元半导体的导热性
- 批准号:
1847129 - 财政年份:2019
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
International Comparison of Large-scale Disaster Compensation Schemes: the Fukushima Nuclear Accident as a Key Example
大规模灾害补偿方案的国际比较:以福岛核事故为例
- 批准号:
18K01344 - 财政年份:2018
- 资助金额:
$ 15万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Would Large-Scale Oil Palm Investment Schemes Reduce Poverty? Case Studies from Indonesia
大规模油棕投资计划会减少贫困吗?
- 批准号:
17K03554 - 财政年份:2017
- 资助金额:
$ 15万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Design of modulation schemes using large constellations robust to phase noise
使用对相位噪声具有鲁棒性的大星座来设计调制方案
- 批准号:
505455-2016 - 财政年份:2016
- 资助金额:
$ 15万 - 项目类别:
Engage Grants Program
Gradient Sliding Schemes for Large-scale Optimization and Data Analysis
用于大规模优化和数据分析的梯度滑动方案
- 批准号:
1637474 - 财政年份:2016
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
Gradient Sliding Schemes for Large-scale Optimization and Data Analysis
用于大规模优化和数据分析的梯度滑动方案
- 批准号:
1537414 - 财政年份:2015
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
Large Deviation Methods for the Analysis and Design of Accelerated Monte Carlo Schemes
加速蒙特卡罗方案分析与设计的大偏差方法
- 批准号:
1317199 - 财政年份:2013
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
CPS: Synergy: A Cyber Physical Framework for Remedial Action Schemes in Large Power Networks
CPS:协同:大型电力网络补救行动方案的网络物理框架
- 批准号:
1239366 - 财政年份:2012
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
Secret Sharing Schemes for Large Data
大数据秘密共享方案
- 批准号:
20700073 - 财政年份:2008
- 资助金额:
$ 15万 - 项目类别:
Grant-in-Aid for Young Scientists (B)