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Simulation-Based Evaluation Strategy for Task Mapping Approaches in WNoC Platforms

机译:WNoC平台中基于仿真的任务映射方法评估策略

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Network-On-Chip (NoC) along with its extension Wireless NoC (WNoC) were proposed to increase system performance in future generations of Multi-Processor System-on-Chip (MPSoC) with hundreds / thousands of cores. For such platforms, designers seek to propose efficient task mapping mechanisms that establish the arrangement of executable tasks taking advantage of available communication links. These proposals are then evaluated and compared against other designs in terms of execution time, latency, energy, communication cost and other metrics, employing simulation tools to that end. However, current WNoC simulators only aim to evaluate the performance of the communication network; they lack the ability to estimate relevant metrics needed for the evaluation of mapping strategies. In this paper, we present an evaluation strategy aimed to assess the performance of task mapping approaches for WNoC and integrate it into a well-known state-of-the-art simulation tool. Several experiments are conducted to demonstrate the benefits of using our proposed strategy.
机译:片上网络(NoC)以及其扩展的无线NoC(WNoC)被提出来提高具有数百/数千个内核的多处理器片上系统(MPSoC)的下一代系统的性能。对于此类平台,设计人员寻求提出有效的任务映射机制,以利用可用的通信链接来建立可执行任务的安排。然后,针对这些建议对这些建议进行评估,并在执行时间,延迟,能耗,通信成本和其他指标方面与其他设计进行比较,并为此目的使用仿真工具。但是,当前的WNoC仿真器仅旨在评估通信网络的性能。他们缺乏估计映射策略评估所需的相关指标的能力。在本文中,我们提出了一种评估策略,旨在评估WNoC的任务映射方法的性能,并将其集成到众所周知的最新仿真工具中。进行了一些实验,以证明使用我们提出的策略的好处。

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