Three-dimensional photonic integration for ultra-low-energy, high-bandwidth interchip data links

IF 32.9 1区 物理与天体物理 Q1 OPTICS Nature Photonics Pub Date : 2025-03-21 DOI:10.1038/s41566-025-01633-0
Stuart Daudlin, Anthony Rizzo, Sunwoo Lee, Devesh Khilwani, Christine Ou, Songli Wang, Asher Novick, Vignesh Gopal, Michael Cullen, Robert Parsons, Kaylx Jang, Alyosha Molnar, Keren Bergman
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Abstract

Artificial intelligence (AI) hardware is positioned to unlock revolutionary computational abilities by leveraging vast distributed networks of advanced semiconductor chips. However, a barrier for AI scaling is the disproportionately high energy and chip area required to transmit data between the chips. Here we present a solution to this long-standing overhead through dense three-dimensional (3D) integration of photonics and electronics. With 80 photonic transmitters and receivers occupying a combined chip footprint of only 0.3 mm2, our platform achieves an order-of-magnitude-greater number of 3D-integrated channels than prior demonstrations. This enables both high-bandwidth (800 Gb s−1) and highly efficient, dense (5.3 Tb s−1 mm−2) 3D channels. The transceiver energy efficiency is showcased by a state-of-the-art 50 fJ and 70 fJ per communicated bit from the transmitter and receiver front ends, respectively, operating at 10 Gb s−1per channel. Furthermore, the design is compatible with commercial complementary metal–oxide–semiconductor foundries fabrication on 300-mm-sized wafers, providing a route to mass production. Such ultra-energy-efficient, high-bandwidth data communication links promise to eliminate the bandwidth bottleneck between spatially distinct compute nodes and support the scaling of future AI computing hardware. Dense three-dimensional integration of photonics and electronics results in a high-speed (800 Gb s−1) data interface for semiconductor chips that features 80 communication channels and consumes only tens of femtojoules per transmitted bit.

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三维光子集成实现超低能耗、高带宽芯片间数据链路
人工智能(AI)硬件的定位是通过利用庞大的先进半导体芯片分布式网络来释放革命性的计算能力。然而,人工智能扩展的一个障碍是在芯片之间传输数据所需的不成比例的高能量和芯片面积。在这里,我们提出了一种解决方案,通过光子和电子的密集三维(3D)集成来解决这个长期存在的开销。80个光子发射器和接收器仅占用0.3 mm2的芯片面积,我们的平台实现了数量级的3d集成通道数量,比之前的演示要多。这使得高带宽(800gb s−1)和高效、密集(5.3 Tb s−1 mm−2)的3D通道成为可能。收发器的能量效率由最先进的50 fJ和70 fJ每通信位分别从发射器和接收器前端显示,在每通道10gb s−1的工作。此外,该设计与商用互补金属氧化物半导体代工厂兼容,可在300毫米尺寸的晶圆上制造,为大规模生产提供了途径。这种超节能、高带宽的数据通信链路有望消除空间不同计算节点之间的带宽瓶颈,并支持未来人工智能计算硬件的扩展。
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来源期刊
Nature Photonics
Nature Photonics 物理-光学
CiteScore
54.20
自引率
1.70%
发文量
158
审稿时长
12 months
期刊介绍: Nature Photonics is a monthly journal dedicated to the scientific study and application of light, known as Photonics. It publishes top-quality, peer-reviewed research across all areas of light generation, manipulation, and detection. The journal encompasses research into the fundamental properties of light and its interactions with matter, as well as the latest developments in optoelectronic devices and emerging photonics applications. Topics covered include lasers, LEDs, imaging, detectors, optoelectronic devices, quantum optics, biophotonics, optical data storage, spectroscopy, fiber optics, solar energy, displays, terahertz technology, nonlinear optics, plasmonics, nanophotonics, and X-rays. In addition to research papers and review articles summarizing scientific findings in optoelectronics, Nature Photonics also features News and Views pieces and research highlights. It uniquely includes articles on the business aspects of the industry, such as technology commercialization and market analysis, offering a comprehensive perspective on the field.
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