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Temperature control in three-network on chips using task migration

机译:使用任务迁移的三片上网络温度控制

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Combination of three-dimensional (3D) IC technology and network on chip (NoC) is an effective solution to increase system scalability and also alleviate the interconnect problem in large-scale integrated circuits. However, because of the increased power density in 3D NoC systems and the destructive effect of high temperatures on chip reliability, applying thermal management solutions becomes crucial in such circuits. In this study, the authors propose a runtime distributed migration algorithm based on game theory to balance the heat dissipation among processing elements (PEs) in a 3D NoC chip multiprocessor. The objective of this algorithm is to minimise the 3D NoC system's peak temperature, as well as the overhead imposed on chip performance during migration. Owing to the high thermal correlation between adjacent PEs in the same stack in 3D NoCs, the authors model this multi-objective problem as a cooperative game. The simulation results indicate upto 23 and 27% decrease in peak temperature, for the benchmarks that have the highest communication rate and the largest number of tasks, respectively. This comes at the price of slight migration overhead in terms of power-delay product.
机译:三维(3D)IC技术与片上网络(NoC)的组合是一种有效的解决方案,可以提高系统的可伸缩性并缓解大规模集成电路中的互连问题。但是,由于3D NoC系统中功率密度的增加以及高温对芯片可靠性的破坏性影响,在此类电路中应用热管理解决方案变得至关重要。在这项研究中,作者提出了一种基于博弈论的运行时分布式迁移算法,以平衡3D NoC芯片多处理器中处理元件(PE)之间的散热。该算法的目的是最小化3D NoC系统的峰值温度以及迁移过程中对芯片性能造成的开销。由于3D NoC中同一堆栈中相邻PE之间的热相关性较高,因此作者将此多目标问题建模为合作博弈。仿真结果表明,对于通讯速率最高和任务数量最多的基准,峰值温度分别降低了23%和27%。这是以功率延迟产品方面的少量迁移开销为代价的。

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