“Smarter” NICs for faster molecular dynamics: a case study

Sara Karamati, C. Hughes, K. Hemmert, Ryan E. Grant, W. Schonbein, Scott Levy, T. Conte, Jeffrey S. Young, R. Vuduc
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引用次数: 8

Abstract

This work evaluates the benefits of using a “smart” network interface card (SmartNIC) as a compute accelerator for the example of the MiniMD molecular dynamics proxy application. The accelerator is NVIDIA's BlueField-2 card, which includes an 8-core Arm processor along with a small amount of DRAM and storage. We test the networking and data movement performance of these cards compared to a standard Intel server host using microbenchmarks and MiniMD. In MiniMD, we identify two distinct classes of computation, namely core computation and maintenance computation, which are executed in sequence. We restructure the algorithm and code to weaken this dependence and increase task parallelism, thereby making it possible to increase utilization of the BlueField-2 concurrently with the host. We evaluate our implementation on a cluster consisting of 16 dual-socket Intel Broadwell host nodes with one BlueField-2 per host-node. Our results show that while the overall compute performance of BlueField-2 is limited, using them with a modified MiniMD algorithm allows for up to 20% speedup over the host CPU baseline with no loss in simulation accuracy.
更快分子动力学的“更智能”网卡:一个案例研究
这项工作评估了使用“智能”网络接口卡(SmartNIC)作为MiniMD分子动力学代理应用程序示例的计算加速器的好处。加速器是NVIDIA的BlueField-2卡,它包括一个8核Arm处理器以及少量的DRAM和存储。我们使用微基准测试和MiniMD测试了这些卡与标准英特尔服务器主机的网络和数据移动性能。在MiniMD中,我们区分了两类不同的计算,即核心计算和维护计算,它们按顺序执行。我们重构了算法和代码,以削弱这种依赖性并增加任务并行性,从而有可能增加与主机并发的BlueField-2的利用率。我们在一个由16个双插槽Intel Broadwell主机节点组成的集群上评估我们的实现,每个主机节点有一个BlueField-2。我们的结果表明,虽然BlueField-2的整体计算性能是有限的,但将它们与改进的MiniMD算法一起使用,可以在主机CPU基准上加速高达20%,而不会损失模拟精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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