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周铮-CPO 下的硅光子芯片设计与挑战.pdf

上传人: 小溪 编号:1165192 2026-03-14 31页 5.41MB

1、2025 ANSYS,Inc./Proprietary.Do Not Share.CPO 下的硅光子芯片设计与挑战下的硅光子芯片设计与挑战周铮2025 ANSYS,Inc./Proprietary.Do Not Share.CPO Challenges and Solutions2025ANSYS,Inc./Proprietary.Do Not Share.3 Traditional Cu interconnects cannot scale to current requirements Optical interconnects will continue to replace coppe

2、r Current optical interconnects provide increased scalability,but power/cost requirements become untenable Co-packaged optics brings power and cost down and allows for breaking through the“power wall”Why Co-Packaged Optics?Ref:Co-Packaged Optics and an Open Ecosystem-Cisco BlogsRef:Intel Labs Day 20

3、20Ref:“Perspective on the future of silicon photonics and electronics”N.Margalit,et.al.,Appl.Phys.Lett.118,220501(2021)2025 ANSYS,Inc./Proprietary.Do Not Share.4Industry Moving Towards CPO,key enabler of future AI/HPC systemsTSMCSamsungNVIDIA Announces Spectrum-X Photonics,Co-Packaged Optics Network

4、ing Switches to Scale AI Factories to Millions of GPUsCisco Demonstrates Co-packaged Optics(CPO)System at OFC 2023-Cisco BlogsIntel Demonstrates First Fully Integrated Optical I/O ChipletAyar Labs Unveils Worlds First UCIe Optical Chiplet for AI Scale-Up ArchitecturesOdin CPO 2.0 architecture-Ranovu

5、sBroadcom Advances Optical Connectivity for AI Infrastructure with Industry-Leading Solutions at OFC 2025 Samsung Showcases AI-Era Vision and Latest Foundry Technologies at SFF 2024|Samsung Semiconductor GlobalK.Zhang,Semiconductor Industry:Present&Future,2024 IEEE ISSCC,San Francisco,2024,pp.10-15,

6、https:/doi.org/10.1109/ISSCC49657.2024.10454358 2025 ANSYS,Inc./Proprietary.Do Not Share.5Significant Multiphysics Challenge with CPO EvolvingRef:“Perspective on the future of silicon photonics and electronics”N.Margalit,et.al.,Appl.Phys.Lett.118,220501(2021)Thermal and StressIncreased IR drops elec

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1. **CPO成为AI/HPC关键方案**:传统铜互连无法满足需求,光学互连可扩展性强但功耗/成本过高,CPO(共封装光学)能突破“功耗墙”,降低成本,是未来AI/HPC系统的核心使能技术。 2. **多物理场设计挑战**:CPO面临热管理、应力、电磁干扰、信号完整性等挑战,需Ansys多工具协同(如Lumerical光子仿真、RedHawk-SC热分析、RaptorX电磁分析)。 3. **光耦合技术优化**:硅光子芯片与光纤/芯片间耦合损耗大,通过光栅耦合器、边缘耦合器及微透镜设计提升效率,结合AI优化(如Ansys逆设计)可加速迭代。 4. **产业进展**:TSMC、NVIDIA、Intel等头部企业推动CPO落地,Ansys与TSMC合作开发COUPE平台,支持多尺度仿真与自动化优化。
**CPO如何突破功耗墙?** **硅光芯片耦合难题怎么解?** **AI加速的CPO设计秘诀?**
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