SHF: Large: Phase-Based Logic Realized Using Oscillatory Nanosystems (PHLOGON)
SHF: Large: Phase-Based Logic Realized Using Oscillatory Nanosystems (PHLOGON)
批准号:
1111733
负责人:
Jaijeet Roychowdhury
金额:
$160.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2018-08-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Exponential progress in Complementary Metal Oxide Semiconductor (CMOS) miniaturization (Moore's Law) over decades has increased computing power to the point that it has transformed science and engineering and touched every aspect of modern society. Continuing progress in computing at the same rate for several more decades is likely to have an even greater impact than that seen so far. Unfortunately, over the last decade, Moore's Law has become increasingly threatened by fundamental design and manufacturing limitations that are being reached. In particular, as individual CMOS logic elements have become smaller, they have also become more sensitive to noise and interference. Moreover, CMOS elements consume power disproportionate to their size; supplying this power, dissipating the heat generated, and containing the adverse effects of high temperatures all constitute serious roadblocks to Moore's Law.This project on PHase based LOGic using Oscillatory Nano-systems (PHLOGON) aims to circumvent these problems via a fundamentally different physical paradigm for computing: the bits and bytes that constitute digital information are encoded using the phase (or timing) of oscillatory (i.e., undulating) signals, not as voltage levels as in conventional computing. Phase encoding has inherent noise immunity advantages over level encoding; PHLOGON exploits this feature fully within the most basic elements that store and manipulate data bits. The core of PHLOGON is logic made of self-sustaining nonlinear oscillators (i.e., elements that generate their own undulating signals, like pendulum clocks). Such oscillatory logic elements can be realized easily using not only CMOS transistors, but also devices from biology such as neurons and intracellular oscillators, from nanotechnology such as Spin Torque Nano Oscillators (STNO) and Micro/Nano-Electro-Mechanical (M/NEMS) resonators, and from optics such as lasers. Thus, PHLOGON enables a wide variety of novel "substrates" for computing. Importantly, several of these (e.g., CMOS and STNOs) offer the promise of dramatically lower power/energy consumption than conventional level-based logic. By developing the core knowledge required for phase-based alternatives to level-based computing to be viable, the PHLOGON project can have significant and wide-ranging impact, potentially reversing the slow-down in Moore's Law and enabling progress in the physical mechanisms that underlie computing for decades to come.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
FET: Medium: Latch Ising Machines (LIM)
-
批准号:2106944
-
项目类别:Continuing Grant
-
资助金额:$80.0万
-
财政年份:2021
-
负责人:Jaijeet Roychowdhury
-
依托单位:
FET: Medium: ROCS: Recurrent Oscillatory Computing Systems for Rapid Solution of NP-Complete and Deep Learning Problems
-
批准号:1901004
-
项目类别:Continuing Grant
-
资助金额:$100.0万
-
财政年份:2019
-
负责人:Jaijeet Roychowdhury
-
依托单位:
SHF: Medium: Booleanized Verification of Analog/Mixed Signal Systems
-
批准号:1563812
-
项目类别:Standard Grant
-
资助金额:$90.0万
-
财政年份:2016
-
负责人:Jaijeet Roychowdhury
-
依托单位:
CAD Algorithms for Automated, Hierarchical, Bottom-Up Abstraction of Large Digital Aggressor Blocks for Supply and Substrate Noise Analysis
-
批准号:0541396
-
项目类别:Continuing Grant
-
资助金额:$20.0万
-
财政年份:2006
-
负责人:Jaijeet Roychowdhury
-
依托单位:
Generalized artificial-time PDE formulations and computational techniques for multi-rate systems
-
批准号:0515227
-
项目类别:Standard Grant
-
资助金额:$20.0万
-
财政年份:2006
-
负责人:Jaijeet Roychowdhury
-
依托单位:
ITR: CAD Algorithms for Unified Prediction of Oscillator Mixing and Phase Noise
-
批准号:0312079
-
项目类别:Standard Grant
-
资助金额:$0.0万
-
财政年份:2003
-
负责人:Jaijeet Roychowdhury
-
依托单位:
CAD Algorithms for Automated Nonlinear Macromodelling
-
批准号:0204278
-
项目类别:Continuing Grant
-
资助金额:$16.0万
-
财政年份:2002
-
负责人:Jaijeet Roychowdhury
-
依托单位:
国内基金
海外基金
登录
查看更多内容
基于水稻穗粒数关键基因LARGE2提高作物产量的探索与应用
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:黄洛将
-
依托单位:
水稻穗粒数调控关键因子LARGE6的分子遗传网络解析
-
批准号:--
-
项目类别:青年科学基金项目
-
资助金额:30万元
-
批准年份:2022
-
负责人:黄洛将
-
依托单位:
量子自旋液体中拓扑拟粒子的性质:量子蒙特卡罗和新的large-N理论
-
批准号:12074246
-
项目类别:面上项目
-
资助金额:62.0万元
-
批准年份:2020
-
负责人:Yoshitomo Kamiya
-
依托单位:
甘蓝型油菜Large Grain基因调控粒重的分子机制研究
-
批准号:31972875
-
项目类别:面上项目
-
资助金额:58.0万元
-
批准年份:2019
-
负责人:石江华
-
依托单位:
Large PB/PB小鼠 视网膜新生血管模型的研究
-
批准号:30971650
-
项目类别:面上项目
-
资助金额:8.0万元
-
批准年份:2009
-
负责人:周旻
-
依托单位:
基因discs large在果蝇卵母细胞的后端定位及其体轴极性形成中的作用机制
-
批准号:30800648
-
项目类别:青年科学基金项目
-
资助金额:20.0万元
-
批准年份:2008
-
负责人:于玲珠
-
依托单位:
LARGE基因对口腔癌细胞中α-DG糖基化及表达的分子调控
-
批准号:30772435
-
项目类别:面上项目
-
资助金额:29.0万元
-
批准年份:2007
-
负责人:尚政军
-
依托单位: