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A stochastic network calculus based approach for on-chip networks

机译:基于随机网络演算的片上网络方法

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As the number of intellectual property (IP) cores in networks-on-chip (NoCs) continues to increase, the communication between IP cores presents nondeterministic characteristic. It is important to study the various stochastic factors that arise as the complexity of NoCs communication increases. In this paper, we address the issue of stochastic characteristics in an on-chip network with 2D tile-based mesh topology, based on which a generalized stochastically bounded bursty (gSBB) based traffic model is established. Within this model, the end-to-end performance is evaluated in terms of delay and backlog. Comparing with the results produced by cycle-accurate booksim-based simulator, we verify the effectiveness of our proposed model, which provides valuable guidelines for the early design of NoCs infrastructures.
机译:随着片上网络(NoC)中​​知识产权(IP)内核的数量不断增加,IP内核之间的通信呈现出不确定性。研究随着NoC通信的复杂性增加而出现的各种随机因素,这一点很重要。在本文中,我们解决了基于2D瓦片的网状拓扑的片上网络中的随机特性问题,在此基础上建立了基于广义随机有界突发(gSBB)的流量模型。在此模型中,将根据延迟和积压来评估端到端性能。与基于周期精确的基于booksim的模拟器产生的结果进行比较,我们验证了我们提出的模型的有效性,该模型为NoCs基础架构的早期设计提供了有价值的指导。

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