SHF: Medium: Booleanized Verification of Analog/Mixed Signal Systems
SHF:中:模拟/混合信号系统的布尔化验证
基本信息
- 批准号:1563812
- 负责人:
- 金额:$ 90万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-07-15 至 2021-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Almost all electronic equipment today, particularly portable devices such as smartphones, tablets etc., contain not only billions of tiny switches called transistors, but also a number of critical analog/mixed-signal (AMS) circuits. Designing AMS circuits is usually far more difficult than designing digital circuits; they require specially trained designers in short supply, much longer design times, and often require several design iterations. Furthermore, when embedded in a chip with digital circuits, malfunctions stemming from unforeseen digital-analog interactions are common and difficult to pinpoint. This research aims to address the problem of making AMS design and debug easier, more reliable, and faster. Success of this research should provide a powerful boost to electronic design technology, eventually resulting in more complex and useful gadgets at lower cost. Moreover, this research will help train a number of graduate and undergraduate students, thus helping to develop the future workforce for electronic design automation industry. Outreach activities to be undertaken in this context will also help attract high-school students to STEM areas.The key technical idea behind this project is to model AMS components accurately as digital ones; and then to use digital techniques, which are much easier to use and faster, for debugging and design. The project will pursue two broad directions within this paradigm: 1) develop better and more accurate Booleanization techniques for approximating AMS circuits and systems as digital ones; and 2) develop better techniques for determining if the Booleanized/digital models work correctly or not.
如今,几乎所有的电子设备,特别是便携式设备,如智能手机、平板电脑等,它不仅包含数十亿个被称为晶体管的微型开关,还包含许多关键的模拟/混合信号(AMS)电路。设计AMS电路通常比设计数字电路困难得多;它们需要经过专门培训的设计人员,而且设计时间要长得多,通常需要多次设计迭代。此外,当嵌入到具有数字电路的芯片中时,由不可预见的数模交互引起的故障是常见的,并且难以精确定位。本研究的目的是解决的问题,使AMS的设计和调试更容易,更可靠,更快。 这项研究的成功将有力地推动电子设计技术的发展,最终以更低的成本生产出更复杂、更有用的电子产品。此外,这项研究将有助于培养一批研究生和本科生,从而有助于发展未来的电子设计自动化行业的劳动力。在此背景下开展的外联活动也将有助于吸引高中生进入STEM领域,该项目背后的关键技术理念是将AMS组件精确建模为数字组件;然后使用更容易使用和更快的数字技术进行调试和设计。该项目将在这一范式中追求两个广泛的方向:1)开发更好和更准确的布尔化技术,用于将AMS电路和系统近似为数字电路和系统; 2)开发更好的技术,用于确定布尔化/数字模型是否正确工作。
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 }}
Jaijeet Roychowdhury其他文献
Jaijeet Roychowdhury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('Jaijeet Roychowdhury', 18)}}的其他基金
FET: Medium: Latch Ising Machines (LIM)
FET:介质:锁存机 (LIM)
- 批准号:
2106944 - 财政年份:2021
- 资助金额:
$ 90万 - 项目类别:
Continuing Grant
FET: Medium: ROCS: Recurrent Oscillatory Computing Systems for Rapid Solution of NP-Complete and Deep Learning Problems
FET:中:ROCS:用于快速解决 NP 完全问题和深度学习问题的循环振荡计算系统
- 批准号:
1901004 - 财政年份:2019
- 资助金额:
$ 90万 - 项目类别:
Continuing Grant
SHF: Large: Phase-Based Logic Realized Using Oscillatory Nanosystems (PHLOGON)
SHF:大型:使用振荡纳米系统实现的基于相位的逻辑 (PHLOGON)
- 批准号:
1111733 - 财政年份:2011
- 资助金额:
$ 90万 - 项目类别:
Continuing Grant
CAD Algorithms for Automated, Hierarchical, Bottom-Up Abstraction of Large Digital Aggressor Blocks for Supply and Substrate Noise Analysis
用于自动、分层、自下而上抽象大型数字干扰模块的 CAD 算法,用于电源和基板噪声分析
- 批准号:
0541396 - 财政年份:2006
- 资助金额:
$ 90万 - 项目类别:
Continuing Grant
Generalized artificial-time PDE formulations and computational techniques for multi-rate systems
多速率系统的广义人工时间 PDE 公式和计算技术
- 批准号:
0515227 - 财政年份:2006
- 资助金额:
$ 90万 - 项目类别:
Standard Grant
ITR: CAD Algorithms for Unified Prediction of Oscillator Mixing and Phase Noise
ITR:统一预测振荡器混频和相位噪声的 CAD 算法
- 批准号:
0312079 - 财政年份:2003
- 资助金额:
$ 90万 - 项目类别:
Standard Grant
CAD Algorithms for Automated Nonlinear Macromodelling
用于自动非线性宏观建模的 CAD 算法
- 批准号:
0204278 - 财政年份:2002
- 资助金额:
$ 90万 - 项目类别:
Continuing Grant
相似海外基金
Collaborative Research: CyberTraining: Implementation: Medium: Training Users, Developers, and Instructors at the Chemistry/Physics/Materials Science Interface
协作研究:网络培训:实施:媒介:在化学/物理/材料科学界面培训用户、开发人员和讲师
- 批准号:
2321102 - 财政年份:2024
- 资助金额:
$ 90万 - 项目类别:
Standard Grant
RII Track-4:@NASA: Bluer and Hotter: From Ultraviolet to X-ray Diagnostics of the Circumgalactic Medium
RII Track-4:@NASA:更蓝更热:从紫外到 X 射线对环绕银河系介质的诊断
- 批准号:
2327438 - 财政年份:2024
- 资助金额:
$ 90万 - 项目类别:
Standard Grant
Collaborative Research: Topological Defects and Dynamic Motion of Symmetry-breaking Tadpole Particles in Liquid Crystal Medium
合作研究:液晶介质中对称破缺蝌蚪粒子的拓扑缺陷与动态运动
- 批准号:
2344489 - 财政年份:2024
- 资助金额:
$ 90万 - 项目类别:
Standard Grant
Collaborative Research: AF: Medium: The Communication Cost of Distributed Computation
合作研究:AF:媒介:分布式计算的通信成本
- 批准号:
2402836 - 财政年份:2024
- 资助金额:
$ 90万 - 项目类别:
Continuing Grant
Collaborative Research: AF: Medium: Foundations of Oblivious Reconfigurable Networks
合作研究:AF:媒介:遗忘可重构网络的基础
- 批准号:
2402851 - 财政年份:2024
- 资助金额:
$ 90万 - 项目类别:
Continuing Grant
Collaborative Research: CIF: Medium: Snapshot Computational Imaging with Metaoptics
合作研究:CIF:Medium:Metaoptics 快照计算成像
- 批准号:
2403122 - 财政年份:2024
- 资助金额:
$ 90万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Differentiable Hardware Synthesis
合作研究:SHF:媒介:可微分硬件合成
- 批准号:
2403134 - 财政年份:2024
- 资助金额:
$ 90万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Enabling Graphics Processing Unit Performance Simulation for Large-Scale Workloads with Lightweight Simulation Methods
合作研究:SHF:中:通过轻量级仿真方法实现大规模工作负载的图形处理单元性能仿真
- 批准号:
2402804 - 财政年份:2024
- 资助金额:
$ 90万 - 项目类别:
Standard Grant
Collaborative Research: CIF-Medium: Privacy-preserving Machine Learning on Graphs
合作研究:CIF-Medium:图上的隐私保护机器学习
- 批准号:
2402815 - 财政年份:2024
- 资助金额:
$ 90万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Tiny Chiplets for Big AI: A Reconfigurable-On-Package System
合作研究:SHF:中:用于大人工智能的微型芯片:可重新配置的封装系统
- 批准号:
2403408 - 财政年份:2024
- 资助金额:
$ 90万 - 项目类别:
Standard Grant














{{item.name}}会员




