E2CDA: Type I: Collaborative Research: Nanophotonic Neuromorphic Computing

E2CDA：I 型：协作研究：纳米光子神经形态计算

基本信息

批准号：
1740235
负责人：
Volker Sorger
金额：
$ 55.29万
依托单位：
George Washington University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-15 至 2021-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1740235&HistoricalAwards=false
关键词：
E2CDA Type Collaborative Research Nanophotonic

项目摘要

With this program, the National Science Foundation has challenged the scientific community to help solve the problem of energy efficient computing. Data centers around the world spend almost equal amount of overhead power in cooling and power conversion for every Watt of computation. As society's appetite for information continues to grow, data centers will eventually consume a significant portion of the world's electricity. Today, the entire information technology industry relies on digital electronics, i.e. electrons carrying digital bits, which impose a barrier for how efficient a computational task can be, regardless of how brilliantly software routines can be engineered. This project will explore the physics of lightwaves to craft a "photonic" processor that breaks that efficiency barrier. This interdisciplinary endeavor will attempt to generate foundational science which will support future innovation in the tech industry. To the end of help building the workforce for the future, the investigators will continue their commitments in mentoring graduate and undergraduate students, and support broadening participation of women, minorities and underrepresented groups through STEM outreach, and NSF REU sites.The approach unites neuromorphic (neural network-inspired) architectures, nanophotonic devices, and emerging fabrication platforms. The technical challenge requires vertical integration of new optical devices, logic units, and control software. It utilizes diverse expertise of faculty members in nanophotonic devices, photonic systems and computer engineering. Specifically, the key points of innovation will include: 1) ultra-efficient electro-optic modulators that will act as neurons at the nanoscale; 2) reconfigurable hardware interconnection fabric on-chip that uses light as information carrier; and 3) creation of control software and benchmarks that are required to orient the project within the broader field of efficient computing. A strong experimental thrust to design, build, and demonstrate these proposed systems will serve to reduce the risk of development of this technology and pave the way for other researchers to join the emerging field of nanophotonic neuromorphic computing.

通过该计划，国家科学基金会挑战了科学界，以帮助解决节能计算问题。全世界的数据中心在每瓦计算的每瓦上都花费了几乎相等的螺旋力和电源转换。随着社会对信息的需求不断增长，数据中心最终将消耗大部分世界电力。如今，整个信息技术行业都依赖数字电子产品，即携带数字位的电子，这对计算任务的有效效率施加了障碍，无论如何设计出出色的软件例程。该项目将探索LightWaves的物理学，以制作一个打破效率障碍的“光子”处理器。这项跨学科的努力将试图产生基础科学，这将支持技术行业的未来创新。为了结束帮助未来的劳动力，调查人员将继续他们的承诺指导毕业生和本科生，并通过STEM外展和NSF REU站点支持妇女，少数群体和代表性不足的群体的参与。技术挑战需要垂直整合新的光学设备，逻辑单元和控制软件。它利用纳米光设备，光子系统和计算机工程的教职员工的各种专业知识。具体而言，创新的要点将包括：1）将在纳米级充当神经元的超高效的电磁调节剂； 2）使用光作为信息载体的片上可重新配置的硬件互连面料； 3）创建控制软件和基准，这些控制软件和基准是在更广泛的高效计算领域中定位项目的所需的。设计，构建和证明这些提议的系统的强大实验性力量将有助于降低该技术的开发风险，并为其他研究人员加入纳米光子神经态计算的新兴领域。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Roadmap on material-function mapping for photonic-electronic hybrid neural networks

DOI：
10.1063/1.5109689
发表时间：
2019-10-01
期刊：
APL MATERIALS
影响因子：
6.1
作者：
Miscuglio, Mario;Adam, Gina C.;Sorger, Volker J.
通讯作者：
Sorger, Volker J.

Energy-efficient graphene and ITO-based MZI and absorption modulators (Conference Presentation)

节能石墨烯和基于 ITO 的 MZI 和吸收调制器（会议演示）

DOI：
10.1117/12.2509723
发表时间：
2019
期刊：
Optical Components and Materials XVI
影响因子：
0
作者：
Sorger, Volker J.;Amin, Rubab;Ma, Zhizhen;Chen, Ray;Dalir, Hamed;Digonnet, Michel J.;Jiang, Shibin
通讯作者：
Jiang, Shibin

Neuromorphic photonics with electro-absorption modulators

DOI：
10.1364/oe.27.005181
发表时间：
2019-02-18
期刊：
OPTICS EXPRESS
影响因子：
3.8
作者：
George, Jonathan K.;Mehrabian, Armin;Sorger, Volker J.
通讯作者：
Sorger, Volker J.

Advances in photonic neuromorphic computing (Conference Presentation)

光子神经形态计算的进展（会议演讲）

DOI：
10.1117/12.2509838
发表时间：
2019
期刊：
Smart Photonic and Optoelectronic Integrated Circuits XXI
影响因子：
0
作者：
Sorger, Volker J.;George, Jonathan K.;Mehrabian, Armin;Shastri, Bhavin;El-Ghazawi, Tarek;Prucnal, Paul R.;Lee, El-Hang;He, Sailing
通讯作者：
He, Sailing

Primer on silicon neuromorphic photonic processors: architecture and compiler