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A new efficient multi-task applications mapping for three-dimensional Network-on-Chip based MPSoC

机译:基于三维网络的基于网络的MPSoC的新高效多任务应用映射

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Three-dimensional Network-on-Chip (3D NoC) is a promising solution for solving 2D NoC problems while optimizing the system's performance. Mapping applications in 3D NoC is a crucial step as it has a significant impact on overall system performance. Moreover, multi-task supported processing elements (PEs) are needed to run multiple applications and provide more scalability. Most of the existing 3D mapping approaches consider only the single-task platform. In this paper, we propose an efficient multi-task mapping algorithm targeting regular 3D NoC that allows an incremental mapping and parallel execution of many applications onto different partitions on the 3D NoC. The proposed mapping algorithm is composed of three main steps aiming to reduce the communications overhead, exploiting the benefits of vertical links and improving the performances. The algorithm has been evaluated with various random and realistic benchmarks and compared with existing mapping algorithms for 3D NoC. The experimental results demonstrate that the proposed mapping strategy achieves significant performance in terms of communication cost, energy consumption and execution time.
机译:三维网络(3D NOC)是一个有助于解决2D NOC问题的有希望的解决方案,同时优化系统的性能。 3D NOC中的映射应用是一个重要的步骤,因为它对整体系统性能产生了重大影响。此外,需要多任务支持的处理元素(PE)来运行多个应用程序并提供更多可扩展性。大多数现有的3D映射方法仅考虑单个任务平台。在本文中,我们提出了一种有效的多任务映射算法,其垂直于常规3D NOC,允许将许多应用程序的增量映射和并行执行到3D NoC上的不同分区上。所提出的映射算法由旨在减少通信开销的三个主要步骤组成,利用垂直链路的好处和提高性能的优势。该算法已被各种随机和现实基准评估,并与3D NoC的现有映射算法进行了比较。实验结果表明,拟议的映射战略在通信成本,能源消耗和执行时间方面实现了显着性能。

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