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Low Latency and Energy Efficient Scalable Architecture for Massive NoCs Using Generalized de Bruijn Graph

机译:使用广义de Bruijn图的大规模NoC的低延迟和高能效的可扩展架构

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Employing thousands of cores in a single chip is the natural trend to handle the ever increasing performance requirements of complex applications such as those used in graphics and multimedia processing. System-on-chips (SoCs) platforms based on network-on-chips (NoCs) could be a viable option for the deployment of large multicore designs with thousands of cores. This paper proposes the generalized binary de Bruijn (GBDB) graph as a reliable and efficient network topology for a large NoC. We propose a reliable routing algorithm to detour a faulty channel between two adjacent switches. In addition, using integer linear programming, we propose an optimal tile-based implementation for a GBDB-based NoC in which the number of channels is less than that of Torus which has the same number of links. Our experimental results show that the latency and energy consumption of the generalized de Bruijn graph are much less than those of Mesh and Torus. The low energy consumption of a de Bruijn graph-based NoC makes it suitable for portable devices which have to operate on limited batteries. Also, the gate level implementation of the proposed reliable routing shows small area, power, and timing overheads due to the proposed reliable routing algorithm.
机译:在单个芯片中使用数千个内核是一种自然趋势,可以满足复杂应用(例如图形和多媒体处理中使用的应用)不断增长的性能要求。基于片上网络(NoC)的片上系统(SoC)平台可能是部署具有数千个内核的大型多核设计的可行选择。本文提出了广义的二进制de Bruijn(GBDB)图,作为大型NoC的可靠而有效的网络拓扑。我们提出了一种可靠的路由算法来绕过两个相邻交换机之间的故障通道。此外,使用整数线性规划,我们为基于GBDB的NoC提出了一种基于图块的最佳实现,其中通道数少于具有相同链接数的Torus数。我们的实验结果表明,广义de Bruijn图的等待时间和能量消耗远小于Mesh和Torus。基于de Bruijn图的NoC的低能耗使其适用于必须使用有限电池工作的便携式设备。同样,由于提出了可靠的路由算法,提出的可靠路由的门级实现显示出较小的面积,功率和时序开销。

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