E2CDA: Type I: Collaborative Research: Electronic-Photonic Integration Using the Transistor Laser for Energy-Efficient Computing
E2CDA: Type I: Collaborative Research: Electronic-Photonic Integration Using the Transistor Laser for Energy-Efficient Computing
批准号:
1640192
负责人:
Yanjing Li
金额:
$18.67万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2020-08-31
中文摘要
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英文摘要
Despite the prevalent use of light to carry information in modern computer networks, data centers, and telecommunications systems to support society's ever-increasing demand for bandwidth, limited progress has been made on the use of light to carry information between or on integrated circuit chips. Even less progress has been made on circuits that use light to process information. A key impediment to progress on true electronic-photonic integration has been the lack of a circuit element that operates in both the domain of light (photons) and electrons. An important breakthrough, made at the University of Illinois in Urbana-Champaign by Professors Nick Holonyak, Jr. and Milton Feng, is that certain types of transistors (the basic building blocks of electronic circuits) can be modified to generate and be acted on by light. These light-emitting transistors (LETs) and transistor lasers (TLs) will be used in this program to form true electronic-photonic digital logic circuits, and high-speed optical links both on and between chips. This technology is expected to dramatically improve the speed and energy efficiency of devices that process information, and to enable the commercial success of a new class of integrated circuits at the forefront of performance. Education and outreach activities will introduce undergraduates and high school teachers to a new technology based on light, renewing excitement in STEM-related fields and the creating the promise for a future career in electronic-photonic circuit engineering.The technical work in this program is focused on bringing into existence a basic electronic-photonic circuit that can be used as the core building block for ultra-energy-efficient electronic-photonic computing systems. A multidisciplinary team has been assembled with expertise that spans the areas of semiconductor physics, materials and device processing, device design, high-speed circuits, and computer architecture to attack a variety of technical challenges and create a viable technology platform. At the fundamental level, physics-based models will be developed for the devices to optimize them for electronic and photonic functionality and predict their performance in an electronic-photonic circuit. In tandem, devices and circuits will be fabricated and characterized to optimize their performance and to improve the device models. Incorporating these devices and circuits into systems with conventional silicon circuits will require the development of scalable processing technologies that allow the formation of electronic-photonic "islands" embedded within silicon chips along with the electronic and photonic interconnects within and between these islands. Finally, architectures will be developed at the chip and system level that make optimal use of the functionality provided by these electronic-photonic logic circuits.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Direct-modulated optical networks for interposer systems
用于内插器系统的直接调制光网络
DOI:
10.1145/3313231.3352368
发表时间:
2019
期刊:
NOCS '19
影响因子:
--
作者:
[Jokar, Mohammad Reza, Zhang, Lunkai, Dallesasse, John M., Chong, Frederic T., Li, Yanjing]
通讯作者:
Li, Yanjing
Baldur: A Power-Efficient and Scalable Network Using All-Optical Switches
Baldur:使用全光交换机的高效且可扩展的网络
DOI:
10.1109/hpca47549.2020.00022
发表时间:
2020
期刊:
2020 IEEE Symposium on High Performance Computer Architecture (HPCA
影响因子:
--
作者:
[Jokar, Mohammad Reza, Qiu, Junyi, Chong, Frederic T., Goddard, Lynford L., Dallesasse, John M., Feng, Milton, Li, Yanjing]
通讯作者:
Li, Yanjing
CAREER: Reliable and Accelerated Deep Neural Networks via Co-Design of Hardware and Algorithms
-
批准号:2340516
-
项目类别:Continuing Grant
-
资助金额:$59.99万
-
财政年份:2024
-
负责人:Yanjing Li
-
依托单位:
Collaborative Research: CISE: Large: Cross-Layer Resilience to Silent Data Corruption
-
批准号:2321492
-
项目类别:Continuing Grant
-
资助金额:$93.75万
-
财政年份:2023
-
负责人:Yanjing Li
-
依托单位:
国内基金
海外基金
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