Improving the throughput and delay performance of network processors by applying push model

B. Liu, Bo Yuan, Huichen Dai, Hongbo Zhao, Jia Yu, L. Bhuyan
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引用次数: 1

Abstract

Traditional network processors (NPs) adopt pull model, where NP cores pull packet data from external memory to local memory, triggered by cache miss or fetch instructions. Due to the long latency of data fetching, hardware multithreading is typically used to reduce the waiting time. Multithreading incurs context switch overhead, leading to inefficiency in payload processing applications. We propose a push model for future NP's architectural design to increase throughput and decrease processing delay. A hardware push unit helps to move the segments of a packet to a core's local memory to reduce hardware thread switching. Theoretical analyses are given to compare the pull and push model's performance. Further, we selected our FPGA based THNPU NP platform for verification. Experimental results indicate that the push model not only improves the system throughput, but also reduces the delay, with only a fraction of logic gate increase.
应用推送模型提高网络处理器的吞吐量和延迟性能
传统的网络处理器(network processor, NPs)采用pull模型,NP核通过cache miss或fetch指令触发,将数据包数据从外部存储器拉到本地存储器。由于数据获取的延迟很长,通常使用硬件多线程来减少等待时间。多线程会导致上下文切换开销,导致有效负载处理应用程序效率低下。我们为未来的NP架构设计提出了一个推模型,以提高吞吐量和减少处理延迟。硬件推送单元有助于将数据包的段移动到核心的本地内存中,以减少硬件线程切换。对推拉模型的性能进行了理论分析比较。此外,我们选择了基于FPGA的THNPU NP平台进行验证。实验结果表明,该推模型不仅提高了系统吞吐量,而且降低了延迟,仅增加了一小部分逻辑门。
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