CAREER: Mixed-Signal Photonic Integrated Circuits for Energy-Efficient High-Speed Data Interfaces
CAREER: Mixed-Signal Photonic Integrated Circuits for Energy-Efficient High-Speed Data Interfaces
批准号:
2014109
负责人:
Vishal Saxena
金额:
$30.01万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-08-23 至 2022-02-28
中文摘要
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英文摘要
Proposal No.: 1454411 CAREER: Mixed Signal Photonics Integrated Circuits for Energy-Efficient High-Speed Data InterfacesVishal Saxena (Boise State University)Abstract: This research harnesses photonics to satisfy ever-growing government, industry, and consumer needs for data bandwidth, while significantly reducing the increasingly voracious energy footprint that accompanies Internet cloud use. Photonics uses light instead of electronics to perform a variety of functions such as information processing and transfer. While most of us still work in offices and meet friends in person, mobile and networking device capability has enabled massive online business and social transaction growth. The Internet and its cloud-based services are used for production systems, banking, entertainment, social interaction, information distribution and research. Resulting information accumulation is fueling the rise of "big data," as well as the powerful correlation tools that help analysts spot financial trends, prevent diseases, combat crime and improve quality of research. More and more, we put content in the cloud for easy access from anywhere and at any time, with data growing exponentially. All this data transfer uses a surprising amount of energy. To reduce data center energy consumption while increasing data capacity by over ten fold, this research will investigate novel hybrid data communication interfaces, using light rather than electrons to process and transfer data at higher speeds. The potentially explosive increase in data rates enabled by these hybrid photonic interconnects could lead to several transformative applications, such as future exascale data centers, terabit speed local area networks, and massively-parallel computing for big data applications. These hybrid photonic interconnects will not only have a broad impact on the semiconductor industry, but also US energy sustainability and security, as more energy-efficient computing systems would reduce carbon footprint of the Internet cloud. Further, to prepare students for the workforce with the necessary skills to drive future technology, the project includes a strong educational component. Interactive learning methods will be employed to teach electronic circuits and to bring photonics to integrated circuit design. The project also incorporates a high school outreach program, with an annual Smart Environments for Sustainability-themed one-week summer camp for high school students that commits to fostering women and minority group representation in integrated circuit design.Technology development leveraging integrated photonic circuits and optical interconnects has thus far largely focused on binary communication using silicon photonic modulators. To enable future optical interconnects for higher data rates and energy-efficiency, researchers must reconsider the hybrid integrated circuit paradigm. An important technology enabler is the high-speed signal processing capability of integrated photonic devices. The research approach will first be to develop a photonic design kit with standard cell libraries and compact models to enable large scale integration of photonic devices into hybrid integrated circuits. Researchers will employ photonic device high-speed optical domain signal processing into novel circuit configurations, exploit synergistic interaction between electronic and photonic components, and form a mixed-signal photonic architecture. Next, to exploit photonics beyond binary interconnects; researchers will develop novel mixed-signal photonic data converters, which they will use to demonstrate an advanced modulation transceiver architecture that is scalable to terabits per second data rates with order-of-magnitude lower energy consumption. Research outcomes will empower integrated circuit researchers by equipping them with a new photonics expertise to tackle nano-scaled technology design challenges, where data transfer bottlenecks constrain system performance. The photonic design kit will lower industry barriers to help facilitate photonics adoption into integrated circuits; resulting mixed-signal photonic data converter architectures will set a new paradigm by achieving greater than 10 GHz sampling rates with significantly reduced energy consumption over existing complementary metal?oxide?semiconductor (CMOS)-only architectures. Researchers will broadly disseminate project results by developing online educational material for a new CMOS photonics integrated circuit design graduate course, and through international journals and conferences.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
Rapid Simulation of Photonic Integrated Circuits Using Verilog-A Compact Models
使用 Verilog-A 紧凑模型快速仿真光子集成电路
DOI:
10.1109/tcsi.2020.2983303
发表时间:
2020
期刊:
IEEE Transactions on Circuits and Systems I: Regular Papers
影响因子:
--
作者:
[Shawon, Md Jubayer, Saxena, Vishal]
通讯作者:
Saxena, Vishal
DOI:
10.1109/tcsii.2020.3048034
发表时间:
2021-02
期刊:
IEEE Transactions on Circuits and Systems II: Express Briefs
影响因子:
--
作者:
[V. Saxena]
通讯作者:
V. Saxena
Neuromorphic computing: From devices to integrated circuits
神经形态计算:从设备到集成电路
DOI:
10.1116/6.0000591
发表时间:
2021
期刊:
Journal of Vacuum Science & Technology B
影响因子:
1.4
作者:
[Saxena, Vishal]
通讯作者:
Saxena, Vishal
Collaborative Research: FuSe: Deep Learning and Signal Processing using Silicon Photonics and Digital CMOS Circuits for Ultra-Wideband Spectrum Perception
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批准号:2329015
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项目类别:Continuing Grant
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资助金额:$49.0万
-
财政年份:2023
-
负责人:Vishal Saxena
-
依托单位:
CAREER: Mixed-Signal Photonic Integrated Circuits for Energy-Efficient High-Speed Data Interfaces
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批准号:1727447
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项目类别:Standard Grant
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资助金额:$45.29万
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财政年份:2016
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负责人:Vishal Saxena
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依托单位:
CAREER: Mixed-Signal Photonic Integrated Circuits for Energy-Efficient High-Speed Data Interfaces
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批准号:1454411
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项目类别:Standard Grant
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资助金额:$50.0万
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财政年份:2015
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负责人:Vishal Saxena
-
依托单位:
国内基金
海外基金
基于MIXED Transformer和DS-TransUNet构建嵌入椎旁肌退变量化模块的体内校准骨密度模型检测骨质疏松的可行性研究。
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批准号:82302303
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项目类别:青年科学基金项目
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资助金额:30万元
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批准年份:2023
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负责人:潘亚玲
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依托单位: