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Task mapping and flow priority assignment of real-time industrial applications for network-on-chip based design

机译:基于网络的网络设计实时工业应用的任务映射和流量优先级分配

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Network-on-chip (NoC) is a paradigm shift for communication between cores in multi-processor systems. It has emerged as a solution for addressing the limitations of bus-based communication in multiprocessor system design. The use of MPSoC (Multi-Processor System on Chip) based design of real-time safety-critical embedded systems (such as, Avionics, Automotive etc.) is really a challenge because of the requirement of time predictability and reliability of highest degree. Task mapping and flow priority assignment are two crucial steps for real-time NoC design. Most of the earlier work on priority assignment for on-chip communications are either based on exhaustive search or are heuristic in nature.In this paper, a search based explorative solution to the priority assignment problem has been proposed with a Genetic Algorithm (GA) based formulation that uses experimentally determined heuristics to converge faster with a better solution. Unlike other works in the area, proposed work considers the task execution time while assigning flow priorities. The paper proposes a combined priority assignment and task mapping solution. The approach has been validated with two real-time industrial applications one from automotive domain, while the other one is from avionics. (c) 2020 Elsevier B.V. All rights reserved.
机译:片上网(NOC)是用于多处理器系统中的核心之间通信的范式转换。它已成为解决多处理器系统设计中基于总线通信局限性的解决方案。基于MPSOC(芯片的多处理器系统)的实时安全关键嵌入式系统的设计(如航空电子设备,汽车等)真的是一个挑战,因为需要最高程度的时间可预测性和可靠性。任务映射和流量优先级分配是实时NoC设计的两个关键步骤。芯片片上通信优先级分配的大多数工作都是基于详尽的搜索,或者是自然的启发式。本文基于遗传算法(GA),提出了一种基于优先级分配问题的搜索探索性解决方案配方使用通过实验确定的启发式机会以更好的解决方案更快地收敛。与该地区的其他作品不同,所提出的工作在分配流优先级时考虑任务执行时间。本文提出了组合优先级分配和任务映射解决方案。该方法已通过来自汽车领域的两个实时工业应用验证,而另一个是来自航空电子设备。 (c)2020 Elsevier B.v.保留所有权利。

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