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A Flexible Energy- and Reliability-Aware Application Mapping for NoC-Based Reconfigurable Architectures

机译:基于NoC的可重构体系结构的灵活的能源和可靠性感知应用程序映射

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This paper proposes a flexible energy- and reliability-aware application mapping approach for network-on-chip (NoC)-based reconfigurable architecture. A parameterized cost model is first developed by combining energy and reliability with a weight parameter that defines the optimization priority. Using this model, the overall mapping cost could be evaluated. Subsequently, a mapping method using branch and bound with a partial cost ratio is employed to find the best mapping by enumerating all the possible patterns organized in a search tree. To improve the search efficiency, nonoptimal mappings are discarded at early stages using the partial cost ratio. Using the proposed approach, applications can be mapped onto most NoC topologies and running with various routing algorithms when considering both energy and reliability. Other state-of-the-art works have also done substantial research for the same topic but only limited to a specific topology or routing algorithm. Even for the same topology and routing algorithm, the proposed approach still shows considerable advantages in many aspects. Experiments show that this approach gains not only significant reduction in energy but also improvement in reliability. It also outperforms other approaches in throughput and latency with competitive run time.
机译:本文针对基于片上网络(NoC)的可重构体系结构,提出了一种灵活的能源和可靠性感知应用映射方法。首先通过将能量和可靠性与定义优化优先级的权重参数相结合来开发参数化成本模型。使用此模型,可以评估总体映射成本。随后,使用一种使用分支定界和部分成本比率约束的映射方法,通过枚举搜索树中组织的所有可能模式来找到最佳映射。为了提高搜索效率,使用部分成本比率在早期阶段丢弃了非最佳映射。使用提出的方法,可以在考虑能量和可靠性的同时将应用程序映射到大多数NoC拓扑并以各种路由算法运行。其他最新技术也针对同一主题进行了大量研究,但仅限于特定的拓扑或路由算法。即使对于相同的拓扑和路由算法,所提出的方法在许多方面仍显示出相当大的优势。实验表明,这种方法不仅可以显着降低能耗,而且可以提高可靠性。它在吞吐量和延迟方面的性能也优于其他方法,并具有竞争优势。

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