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ACF-S:AI计算结构中高性能数据移动的新方法.pdf

上传人: 芦苇 编号:651448 2025-05-01 20页 1.39MB

1、 2024 ENFABRICA CORPORATION.ALL RIGHTS RESERVED.ACF-S:A Novel Approach to High-Performance Data Movement in AI Compute FabricsSeptember 10,2024Rochan Sankar,Enfabrica 2024 ENFABRICA CORPORATION.ALL RIGHTS RESERVED.3:missionredefine networking for accelerated computing to deliver peak performance,res

2、iliency and node scale:team120+engineerspreviously built high-performance NICs,switches,routers,TPUs,graphics,host networking stacks 2024 ENFABRICA CORPORATION.ALL RIGHTS RESERVED.:productaccelerated compute fabric superNIC(ACF-S)1stchip codename millennium 8 Tbps bandwidth3.2Tbps Ethernet 5+Tbps 12

3、8 lanes PCIe 5/6ARM CPUACF-SSW Stack8 Tbps ACF-S card:what we are about 2024 ENFABRICA CORPORATION.ALL RIGHTS RESERVED.4:a systems perspective:scale-up supercomputing /mainframe,ccNUMAFully coherent memory system operating on a“large”problem by sharding computationWorker nodes synchronize state and

4、move memory closer using O(100ns)latency IPC transactionsCommunication protocols deeply embedded in the processor to enable“transparent”communication 2024 ENFABRICA CORPORATION.ALL RIGHTS RESERVED.5All blue links are IPC communicationCPUCPUCPUCPUCPUCPUCPUCPU:hyperscale cloud /the rise of scale-out c

5、omputingClient-server design,built for extreme,resilient application scalingAll communication uses retargetable,resilient,software managed RPCs(request-response)Workers and data pipelines are imminently reconfigurableDistributed,heterogenous compute nodes with high aggregate network throughputhigh t

6、olerance to latency(10s-1000s of microseconds)No shared-fate 2024 ENFABRICA CORPORATION.ALL RIGHTS RESERVED.6All green links are sharded RPC communicationLoad Balancer/RequestorSharded/ReplicatedWorkersSharded/ReplicatedWorkersCPUCPUCPUCPUCPUCPU:data center AI,ML systems /super,meet hyperModern infr

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本文介绍了一种名为ACF-S的新型数据传输方法,旨在提高人工智能计算织物中的高性能数据移动。ACF-S由Enfabrica公司开发,其关键特性包括: 1. scale-up和scale-out的统一:ACF-S旨在将大规模计算(scale-up)与分布式计算(scale-out)结合起来,提供统一的解决方案。 2. 通信协议的集成:通信协议 deeply embedded in the processor,使得通信透明化。 3. 内存系统:采用fully coherent memory system,通过sharding computation实现大规模问题的处理。 4. 网络结构:提出了logically Rail Switched 2-Tier CLOS Network结构,以降低延迟和提高网络的弹性。 5. 性能提升:ACF-S能够显著提高GPU集群的性能,例如,在65,536个GPU的集群中,HFU(硬件FLOPs利用率)预计将高于典型的LLM MFU(模型FLOPs利用率)。 6. 硬件创新:ACF-S解决方案包括world’s first megaNIC chip,该芯片具有8-Tbps的acf-s速率,32 lanes x 112GbE,以及高容量的PCIe。 7. 软件与硬件的解耦:通过软件定义的传输和拥塞控制,ACF-S提供了适应工作负载和避免硬编码基础设施到当前模型的能力。 Enfabrica公司提出的ACF-S技术,旨在为AI计算提供高效、可扩展的数据传输解决方案,通过硬件和软件的创新,实现高性能计算与大规模分布式计算的有机结合。
"AI计算织物中的ACF-S技术是什么?" "如何通过ACF-S技术优化AI系统的性能?" "ACF-S技术在未来的AI计算领域有哪些应用前景?"
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