【24h】

Keynote

机译:基调

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摘要

This talk provides an overview of recent research results in high-performance networking. We discuss the history and design tradeoffs for large-scale topologies following the growing demand for low latency and high throughput at lowest cost. We then introduce a high-performance cost-effective network topology called Slim Fly that approaches the theoretically optimal network diameter. We analyze Slim Fly and compare it to both traditional and state-of-the-art networks. Our analysis shows that Slim Fly has significant advantages over other topologies in latency, bandwidth, resiliency, cost, and power consumption. After solving the topology problem, we focus on the endpoint. Today's network cards contain rather powerful processors optimized for data movement. However, these devices are limited to fixed functions, such as remote direct memory access. We describe sPIN, a portable programming model to offload simple packet processing functions to the network card. The portable packet-processing network acceleration sPIN model is similar to compute acceleration with CUDA or OpenCL. We demonstrate several use-cases for which network acceleration enables an eco-system that can significantly speed up applications and system services. Both of these recent results will guide design and implementation of future data-center and HPC networks.
机译:本演讲概述了高性能网络的最新研究成果。随着对低延迟和以最低成本获得高吞吐量的需求不断增长,我们讨论了大规模拓扑的历史和设计权衡。然后,我们介绍一种称为Slim Fly的高性能,经济高效的网络拓扑,该拓扑接近理论上最佳的网络直径。我们分析了Slim Fly,并将其与传统网络和最新网络进行了比较。我们的分析表明,Slim Fly在延迟,带宽,弹性,成本和功耗方面比其他拓扑具有显着优势。解决拓扑问题后,我们将重点放在端点上。当今的网卡包含针对数据移动进行了优化的功能强大的处理器。但是,这些设备仅限于固定功能,例如远程直接内存访问。我们描述了sPIN,这是一种便携式编程模型,可将简单的数据包处理功能卸载到网卡。便携式数据包处理网络加速sPIN模型类似于使用CUDA或OpenCL计算加速。我们演示了几个用例,网络加速可以使生态系统显着加速应用程序和系统服务。这两项最新成果将指导未来数据中心和HPC网络的设计和实施。

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