基于FPGA支持自适应路由的NoC仿真加速框架

Khyamling Parane, P. M, and Basavaraj Talawar
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引用次数: 2

摘要

本文提出了一种基于FPGA的快速、参数化的片上网络(NoC)仿真加速框架,该框架具有自动化的HDL生成引擎。该框架支持NoC架构的设计参数,如拓扑结构、路由算法、链路宽度、缓冲区大小、流量控制和流量模式。所提出的基于NoC的框架具有参数化、高性能和轻量化的特点,是NoC研究的理想选择。基于网格的拓扑结构已被考虑用于实验目的。在传统的XY路由的基础上,提出了一种感知拥塞的自适应路由。此外,还改变了缓冲深度、交通模式和飞行宽度等参数,以观察对NoC行为的影响。与传统的XY路由相比,基于Mesh拓扑的自适应路由算法的FPGA面积开销可以忽略不计。采用自适应路由算法,在转置流量模式下,与XY路由算法相比,平均数据包延迟降低了55 %。与Booksim软件模拟器相比,已经观察到2548倍的加速。与基于CONNECT和DART FPGA的模拟器相比,所提出的框架分别快2.54倍和25倍。
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FPGA based NoC Simulation Acceleration Framework Supporting Adaptive Routing
In this paper, we present fast and param- eterized FPGA based Network-on-Chip (NoC) simu- lation acceleration framework with automated HDL generation engine. The framework supports the NoC architecture design parameters such as topology, rout- ing algorithms, link width, buffer size, flow control and traffic patterns. The parameterized, high perfor- mance and lightweight nature of proposed NoC based framework makes the ideal choice for NoC research studies. The Mesh based topologies have been con- sidered for the experimentation purpose. A congestion aware adaptive routing has been proposed along with the conventional XY routing. Also, parameters such as buffer depth, traffic pattern and flit width have been varied to observe the effect on the NoC behavior. The adaptive routing algorithm for Mesh based topologies has negligible FPGA area overhead compared to the conventional XY routing. Employing the adaptive routing algorithm, the average packet latency is reduced by 55{% under transpose traffic pattern when compared to the XY routing algorithm. The speedup of 2548x has been observed compared to Booksim software simulator. The proposed framework is 2.54x and 25x times faster compared to CONNECT and DART FPGA based simulators respectively.
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