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An Analyzable On-Chip Network Architecture for Embedded Systems

机译:嵌入式系统的可分析片上网络架构

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In this paper, an on-chip network architecture designed especially for embedded systems is presented. Furthermore, a corresponding stochastic model based on discrete-time Markov chains is proposed to enable fast and cycle accurate performance evaluation of the corresponding on-chip network. The stochastic model generation is still work-in-progress. In addition, a synthesizable implementation of the network architecture will be developed in a Hardware Description Language like VHDL or SystemC. The goal of this work is to present an analytical model, a simulation, and a realizable model of an on-chip network to improve SoC design. Nevertheless, the proposed performance evaluation model of on-chip networks lacks of two important features. First, it is assumed that succeeding packets are mutually independent. No correlation between packets exists. It is not possible to emulate bursts of packets with this model. This leads to too optimistic results if the correlation of packet sequences is neglected. Extensions of the model are necessary to deal with the behavior of correlated packets. Second, systems where real-time constraints have to be met, like guaranteed throughput or a maximum delay for certain messages, cannot properly be investigated with the proposed model. The randomness that is introduced in the arbiter of the routers does not allow priorities for certain packets. Nevertheless, this problem could be overcome by separation of best-effort traffic - covered with the model in this paper- and traffic with a guaranteed service (Quality of Service) character. Separation could be realized by extending the network architecture with virtual channels: one channel for best-effort traffic and one or more for the traffic with real-time constraints.
机译:本文提出了一种专为嵌入式系统设计的片上网络架构。此外,提出了一种基于离散时间马尔可夫链的随机模型,可以对相应的片上网络进行快速,周期精确的性能评估。随机模型的生成仍在进行中。此外,将以硬件描述语言(如VHDL或SystemC)开发网络体系结构的可综合实现。这项工作的目的是提出一种片上网络的分析模型,仿真和可实现模型,以改善SoC设计。然而,所提出的片上网络性能评估模型缺乏两个重要特征。首先,假设随后的分组是相互独立的。数据包之间不存在关联。使用此模型无法模拟数据包突发。如果忽略了数据包序列的相关性,则会导致过于乐观的结果。该模型的扩展对于处理相关数据包的行为是必要的。其次,必须使用建议的模型无法正确研究必须满足实时约束的系统,例如保证吞吐量或某些消息的最大延迟。路由器的仲裁器中引入的随机性不允许某些数据包具有优先级。但是,可以通过将尽力而为的流量(本白皮书中的模型涵盖)与具有保证服务(服务质量)特征的流量分开来解决此问题。可以通过使用虚拟通道扩展网络体系结构来实现分离:一个通道用于尽力而为流量,一个或多个用于实时约束流量。

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