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用于编程新型存储设备和接口的新兴软件模式.pdf

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1、Pankaj MehraGaurav AgarwalEmerging Software Patterns for Programming New Memory Devices and InterfacesEmerging Software Patterns for Programming New Memory Devices and InterfacesPankaj Mehra CEO,Elephance Memory;Research Prof,CSE at OSUGaurav Agarwal-Distinguished Engineer,MarvellSERVER:COMPOSABLE M

2、EMORY SYSTEMS(CMS)Marvell forward-looking statementsExcept for statements of historical fact,this presentation contains forward-looking statements(within the meaning of the federal securities laws)including statements related to future revenue,future earnings,and the success of our product releases

3、that involve risks and uncertainties.Words such as“anticipates,”“expects,”“intends,”“plans,”“projects,”“believes,”“seeks,”“estimates,”“can,”“may,”“will,”“would”and similar expressions identify such forward-looking statements.These statements are not guarantees of results and should not be considered

4、 as an indication of future activity or future performance.Actual events or results may differ materially from those described in this presentation due to a number of risks and uncertainties.Forward-looking statements are only predictions and are subject to risks,uncertainties and assumptions that a

5、re difficult to predict,including those described in the“Risk Factors”section of our Annual Reports on Form 10-K,Quarterly Reports on Form 10-Q and other documents filed by us from time to time with the SEC.Forward-looking statements speak only as of the date they are made.You are cautioned not to p

6、ut undue reliance on forward-looking statements,and no person assumes any obligation to update or revise any such forward-looking statements,whether as a result of new information,future events or otherwise.Fluxy ComputationsLightweight computations on streaming data(low temporal reuse),often at mem

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根据报告的内容,全文主要内容概括如下: 1. **新兴软件模式**:针对新型内存设备和接口,提出了一系列软件模式,如Fluxy Computations和NDP(Near Data Processing)。 2. **CMS (Composable Memory Systems)**:Marvell致力于开发可组合内存系统,包括内存和存储设备的计算接口。 3. **XPI API**:提出XPI作为硬件和软件共享的稳定接口,支持近内存处理和计算存储。 4. **CXL (Compute Express Link) 和 UALink**:探讨CXL和UALink在构建异构系统中的作用,包括加速器和存储设备。 5. **数据中心架构**:从存储导向架构向计算导向架构转变,强调数据中心的计算和内存资源整合。 6. **CxD (Computational Device) 编程**:介绍CxD编程的逻辑架构和实现方法,包括数据中心的计算和存储资源。 7. **AI领域生态系统**:强调跨行业合作,支持特定领域和应用抽象,如ONNX和JAX。 8. **性能可移植性设计模式**:基于性能可移植性指标,提出设计模式,如HLO和XLA。 9. **未来展望**:探索新的接口和API,以支持计算内存设备在扩展AI内存网络中的应用。
未来内存接口的蓝图?" "AI时代,内存计算如何突破?" 开启数据中心新纪元?"
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