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Programming Challenges in Network Processor Deployment

机译:网络处理器部署中的编程挑战

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Programming multi-processor ASIPs, such as network processors, remains an art due to the wide variety of architectures and due to little support for exploring different implementation alternatives. We present a study that implements an IP forwarding router application on two different network processors to better understand the main challenges in programming such multi-processor ASIPs. The goal of this study is to identify the elements central to a successful deployment of such systems based on a detailed profiling of the two architectures. Our results show that inefficient partitioning can impact the throughput by more than 30%; a better arbitration of resources increases the throughput by at least 10%, and localization of computation related to the memories can increase the available bandwidth on internal buses by a factor of two. The main observation of our study is that there is a critical lack of tools and methods that support an integrated approach to partitioning, scheduling and arbitration, and data transfer management for such system implementations.
机译:由于架构的多样性和对探索不同实现方式的支持不足,对网络处理器等多处理器ASIP进行编程仍然是一门艺术。我们提出了一项研究,该研究在两个不同的网络处理器上实现IP转发路由器应用程序,以更好地理解对此类多处理器ASIP进行编程的主要挑战。这项研究的目的是基于对两种体系结构的详细分析,确定成功部署此类系统的关键要素。我们的结果表明,无效的分区可能会对吞吐量产生30%以上的影响;更好的资源仲裁将吞吐量至少提高了10%,与内存相关的计算本地化可以使内部总线上的可用带宽增加两倍。我们研究的主要观察结果是,严重缺乏工具和方法来支持用于此类系统实现的分区,调度和仲裁以及数据传输管理的集成方法。

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