Thermal Aware Application Mapping and Frequency Scaling for Mesh-Based Network-On-Chip Design

Raghav Sonavane, Gobburi Sai Kashyap, S. Chattopadhyay
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引用次数: 4

Abstract

On-chip communication is being regarded as one of the most crucial issues in System-on-Chip (SoC) design. Bandwidth limitation of interconnection buses has opened a wide scope of research to find better alternatives. Network-on-Chip (NoC) has expanded manifold to resolve this congestion. As the number of cores residing on a SoC is increasing significantly (MPSoC), the issue of Application mapping is becoming more and more complex. Given an application represented in the form of a core graph, application mapping can be realized as attaching cores performing tasks to routers. The performance of the overall system depends on the application mapping as well as the topology structure. Energy and reliability optimization are two of the most critical objectives for the synthesis of multiprocessor systems. This report also proposes a thermal-aware mapping with limited degradation in communication cost. The combined objective of minimizing overall finish time under a given energy budget is solved by using a multi-objective discrete particle swarm optimization algorithm exploiting task mapping and frequency selection on a mesh based network. Experiments are conducted with synthetic application task graphs to demonstrate the performance of the proposed solution strategy.
基于网格的片上网络设计的热感知应用映射和频率缩放
片上通信被认为是片上系统(SoC)设计中最关键的问题之一。互连总线的带宽限制为寻找更好的替代方案开辟了广阔的研究领域。片上网络(NoC)已经扩展了歧管来解决这种拥塞。随着驻留在SoC (MPSoC)上的内核数量的显著增加,应用程序映射问题变得越来越复杂。给定一个以核心图形式表示的应用程序,应用程序映射可以通过将执行任务的核心附加到路由器来实现。整个系统的性能取决于应用程序映射和拓扑结构。能量优化和可靠性优化是多处理机系统综合的两个最关键的目标。本报告还提出了一种通信成本降低有限的热感知映射。采用基于网格网络的任务映射和频率选择的多目标离散粒子群优化算法求解给定能量预算下最小化总完工时间的组合目标。利用综合应用任务图进行了实验,验证了所提解决策略的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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