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对支持 CXL 的数据中心内存架构进行端到端管理.pdf

上传人: 明**** 编号:1011820 2025-12-21 32页 2.92MB

1、End-to-End Management of a CXL-enabled Datacenter Memory FabricEnd-to-End Management of a CXL-enabled Datacenter Memory FabricHan Deok Lee,Principal Engineer,Memory Division,SamsungTaehoonLee,RedHatSumit Puri,President,LiqidBrian Pan,3H PlatformSiamak Tavallaei,Sr.Principal Engineer,Samsung Semicond

2、uctorSERVER:COMPOSABLE MEMORY SYSTEMS(CMS)As data-intensive applications continue to scale,traditional server architectures are increasingly constrained by fixed memory configurations and limited bandwidth.Compute Express Link(CXL)introduces a transformative solution:a dynamic,fabric-based memory ar

3、chitecture that decouples memory from compute,enabling greater flexibility,scalability,and efficiency across the datacenter.In this joint presentation,we will explore the end-to-end management of a CXL-based datacenter memory fabric.The session will cover key architectural elementsfrom CXL-attached

4、memory modules and switching infrastructure,to composable software orchestration and real-world deployment strategies.The speakers will demonstrate how the integration of advanced CXL memory,high-performance CXL switches,and a fabric management and orchestration software enables a fully dynamic,soft

5、ware-definedmemory pool that can be provisioned and scaled in real time.Attendees will gain a comprehensive understanding of:Architectural considerations for building a CXL-enabledmemory fabricHardware and software integration best practicesPerformance and efficiency gains across AI/ML,HPC,and in-me

6、mory workloadsOperational insights from early deployments and proof-of-concept environmentsThis session is ideal for system architects,data center operators,and technology strategists seeking to harness the full potential of CXL for next-generation memory scaling.AbstractChallenge and Lessons Learne

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根据报告的内容,全文主要内容概括如下: 1. **CXL技术优势**:CXL技术通过动态、基于网络的内存架构,解耦内存与计算,提高数据中心灵活性、可扩展性和效率。 2. **CXL实施挑战**:硬件方面包括服务器平台、BIOS、重定时器、内存错误处理等;软件方面涉及Linux内核、CXL驱动等。 3. **软件定义内存**:通过软件定义内存,可以动态分配和扩展内存资源,提高资源利用率。 4. **性能提升**:CXL交换机相比传统InfiniBand和RoCEv2解决方案,在内存数据库应用中,吞吐量提高4.6倍,平均和尾部延迟降低85%。 5. **软件解决方案**:如Samsung DCMFM和Red Hat CXL Enabler,支持动态内存分配和节点调整,优化内存利用率和性能。 6. **软件定义可组合基础设施**:通过CXL技术,实现设备池化和共享,提高设备利用率,降低成本,提升性能。 7. **生态系统合作**:OCP CMS子项目积极扩展CXL生态系统,合作伙伴和客户可通过CXL参考架构开发技术和业务。
"CXL内存池技术如何提升效率?" "CXL在数据中心应用中的优势是什么?" "CXL如何助力AI/ML和HPC性能提升?"
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