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面向硅到系统先进封装的AI驱动多物理场分析.pdf

上传人: 明**** 编号:1011575 2025-12-21 18页 1.97MB

1、AI-Driven Multiphysics Analysis for Silicon-to-System Advanced PackagingAnsysPart of Synopsys Open Compute Project(OCP)APAC Summit AI-Driven Multiphysics Analysis for Silicon-to-System Advanced PackagingBenson Wei,Ph.D.Senior Director/AnsysCHIPLETS AND ADVANCED PACKAGING/PHOTONICSOutline4321Evolutio

2、n of Design ComplexityAdvance Packaging ChallengesCase StudyConclusionEM/IRThermalOpticsRadiationReliabilityMechanicalMultiphysics19801990200020102015202020251-2Sub-micronDeep submicronNanometerSub 100nm5/3 nm2/1.6 nmTransistor-levelGate-levelASICSoC/SiPStacked DieAdv.PackageComplex 3DICEvolution of

3、 Design Complexity!FunctionalKevin Zhang,TSMC ISSCC 2024 keynoteTimingFunctionalPowerTimingFunctionalStructurePowerTimingFunctionalThermalStructurePowerTimingFunctionalRadiationRadiationThermalStructureEM/IRTimingFunctionalMechanicalRadiationStructureEM/IRTimingFunctionalMechanicalOpticsThermalAdvan

4、ce Packaging Challenge:Aggressive System Scaling and complexityT.Singh,et al.,AMD,ISSCC,2025Courtesy of TSMC,2024Kevin Zhang,TSMC,ISSCC keynote,2024Analytical modeling of TSVs incl.TSV-to-TSV coupling for large-scale Si interposers with 1000s of TSVs Billions of connections,Signal routing,cross talk

5、,power integrity Distributed model for each TSV with resistance and inductance split above and below the substrate Liner oxide coupling to substrate is included in the modelTSVs are essential in 3DIC systems due to their impact on signal integrity,power delivery efficiency,and thermal dissipation.Mo

6、del of coupling between neighboring TSVsEquivalent circuit of TSV pair3D mesh of TSVAdvance Packaging Challenge:Singal,Power Integrity and HeatersA.,Smith,et al.,(2024).AMD Instinct MI300 Series Modular Chiplet Package HPC ad AI Accelerator for Exa-class Systems,ISSCCAdvance Packaging Challenge:Ther

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根据报告的内容,全文主要围绕硅到系统级先进封装的多物理场分析展开,核心内容包括: 1. 设计复杂性演进:从1980年代的微米级到2020年代的纳米级,设计复杂性不断增长。 2. 先进封装挑战:包括系统规模和复杂性的增加、信号完整性、功率完整性、热管理和结构完整性等。 3. 案例研究:通过热感知3D Floorplanning和基于机器学习的热感知设计空间探索,优化设计并提高产品品质。 4. 关键数据:例如,3D IC的详细温度分布图,芯片堆叠的热效应分析,以及使用Ansys optiSLang进行的多物理场分析。 5. 核心工具:Ansys RedHawk-SC Electrothermal和Ansys optiSLang,用于多物理场模拟和优化设计。
先进封装的多物理场分析" 硅到系统封装的可靠性解析" 3D IC的热场优化策略"
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