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AMD先进封装技术——过去、现在和未来.pdf

上传人: 明**** 编号:1011405 2025-12-21 22页 1.32MB

1、AMDAMD Advanced Advanced Packaging Packaging Past,Past,Present,and FuturePresent,and FutureAMD HIT(Heterogeneous Integrated Technologies)AMD Advanced Packaging Past,Present,and FutureDevin WuPrincipal Member of Technical Staff Heterogeneous Integration TechnologiesAMDCHIPLETS AND ADVANCED PACKAGING/

2、PHOTONICSOutline4321IntroductionAdvanced Packaging AMD LeadershipAMD Chiplet TechnologyFuture DirectionsAI Driving Compute&Memory GrowthCompute Requirements Petaflops/dayCompute Requirements Petaflops/dayDoubling every 3.4 monthsMoores Law doubling every 24 months201220122013201320142014201520152016

3、201620172017201820181e+41e+21e+01e-21e-31e-41e-51e+31e+11e-1Source:Source:https:/ computeAI computeAlexnet to alphago zero:A 300,000X increase in compute1 exaFLOP1 petaFLOP1 gigaFLOP1990199019951995200020002005200520102010201520152025202520202020FrontierFrontierLeading supercomputer performanceLeadi

4、ng supercomputer performanceSource:Source:https:/www.top500.orghttps:/www.top500.orgParameters(log scale)Image,Speech ModelsBERTBERT-large large 330 million330 millionResNet50 ResNet50 26 million26 million2x2x/yearyearAmoebaNetB AmoebaNetB 557 million557 millionSwitch 1.6 Switch 1.6 trilliontrillion

5、20 x20 x/yearyear2014201420152015201620162017201720182018201920192021202120202020AI memoryAI memorySource:Source:TechInsightsTechInsights(2022)(2022)AMD:Broadest AI Product PortfolioCloud and Cloud and EnterpriseEnterpriseGeneral AI InferenceEdge/Edge/EmbeddedEmbeddedEmbedded InferenceCloud and Clou

6、d and SupercomputerSupercomputerHPC and AI TrainingDense InferenceEndpointEndpointAI Inference for PCsGaming AIGaming AIGaming AIAI Enabled:Cloud to edge to endpointAI Enabled:Cloud to edge to endpointDiverse Requirements for AICloud/EnterpriseCloud/Enterprise1000+of TFLOPS computeTCO,demanding comp

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根据《AMD Advanced Packaging – Past, Present, and Future》的内容,以下是全文关键点的概括: 1. **计算需求增长**:AI和计算需求迅速增长,摩尔定律放缓,计算需求每3.4个月翻一番。 2. **AMD领导地位**:AMD在先进封装技术领域处于领先地位,引领了Chiplet架构和3D/2.5D集成。 3. **Chiplet技术**:AMD的Chiplet技术通过模块化设计,提高了性能和效率,同时降低了成本。 4. **多尺度设计优化**:为了管理翘曲和互连可靠性,需要进行多尺度设计/工艺优化。 5. **AMD CDNATM架构**:AMD CDNATM 2和3架构提供了高效的内存架构和统一的内存APU架构。 6. **MI300 Modular Chiplet Package**:MI300 Modular Chiplet Package通过Infinity Fabric网络和HBM3内存,实现了高带宽、低延迟的通信。 7. **未来系统封装架构**:未来系统封装架构将利用高速接口设计、先进封装和异构计算,实现计算元素和内存的高效集成。
未来趋势揭秘" 引领计算新纪元" "摩尔定律放缓?AMD如何突破封装极限?"
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