Performance Evaluation of RISC-based SoC Platforms in Network Processing Applications

Rainer Ohlendorf, Thomas Wild, Michael Meitinger, Holm Rauchfuss, A. Herkersdorf
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引用次数: 4

Abstract

In this paper, results of a simulative performance evaluation of RISC-based SoC platforms for networking applications are presented. We use our SystemC simulation environment that is calibrated with a reference implementation on an FPGA-based prototyping environment, consisting of a single RISC-CPU, memory system, Ethernet MAC and an autonomous DMA engine. In order to achieve precise results, a real IP stack has been profiled. Starting with an analysis of the reference scenario, two approaches for improvements are investigated. At first, hardware assists are added, which offload the CPU from compute-intensive bit-level manipulations. Second, the concept of flexible processing paths as proposed in FlexPath NP with AutoRoute is evaluated, in which some part of the traffic can bypass the central CPU cluster. For each of the three scenarios the maximum throughput is determined, and the improvements and limitations of each solution are discussed. It can be shown that a FlexPath NP achieves up to 2.5 times the throughput of the unoptimized reference scenario under realistic traffic assumptions
基于risc的SoC平台在网络处理应用中的性能评估
本文给出了基于risc的SoC网络应用平台的模拟性能评估结果。我们使用SystemC仿真环境,该环境在基于fpga的原型环境上使用参考实现进行校准,该环境由单个RISC-CPU,内存系统,以太网MAC和自主DMA引擎组成。为了获得精确的结果,对一个真实的IP堆栈进行了分析。从对参考场景的分析开始,研究了两种改进方法。首先,添加硬件辅助,将CPU从计算密集型的位级操作中解脱出来。其次,评估了FlexPath NP中提出的带有AutoRoute的灵活处理路径的概念,其中部分流量可以绕过中央CPU集群。对于这三种场景中的每一种,都确定了最大吞吐量,并讨论了每种解决方案的改进和限制。结果表明,在实际流量假设下,FlexPath NP实现的吞吐量是未优化参考场景的2.5倍
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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