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Simulation and FPGA-based implementation of iterative parallel schedulers for optical interconnection networks

机译:光互连网络的迭代并行调度程序的仿真和基于FPGA的实现

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摘要

High-performance interconnection networks are required for inter-board, intra-board, and on-chip data communication. With the growth of data communication, the requirements for high bandwidth density, high scalability, low latency, and low power consumption are becoming more stringent, making optical solutions appealing. Such requirements should be achieved not only by the hardware architecture but also by the electronic scheduler that is in charge of deciding the packet transmissions and controlling the optical devices. In particular, low-latency schedulers are of paramount importance—especially for optical interconnection networks whose switching capabilities may be constrained by the optical domain. This paper focuses on the hardware implementation and optimization of a scheduler suitable for optical interconnection networks. Parallel, iterative scheduling algorithms are considered for high computational efficiency. More specifically, an iterative parallel implementation of the longestqueue- first algorithm (ipLQF) is proposed and compared to the well-known iSLIP algorithm. Hardware optimization is carried out to improve their implementation efficiency. Although ipLQF achieves better network performance in terms of packet latency, the hardware implementation indicates that iSLIP stands for execution time and resource utilization in commercial field programmable gate array boards.
机译:板间,板内和片上数据通信需要高性能的互连网络。随着数据通信的增长,对高带宽密度,高可伸缩性,低延迟和低功耗的要求变得越来越严格,从而使光学解决方案具有吸引力。这样的要求不仅应通过硬件体系结构来实现,而且还应通过负责确定数据包传输和控制光学设备的电子调度程序来实现。尤其是,低延迟调度程序尤为重要,尤其是对于其交换能力可能受到光域限制的光互连网络而言。本文重点介绍适用于光互连网络的调度程序的硬件实现和优化。考虑并行,迭代调度算法以提高计算效率。更具体地说,提出了最长队列优先算法(ipLQF)的迭代并行实现,并将其与众所周知的iSLIP算法进行比较。进行硬件优化以提高其实现效率。尽管ipLQF在数据包延迟方面实现了更好的网络性能,但硬件实现表明iSLIP代表了商用现场可编程门阵列板的执行时间和资源利用率。

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