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Thermal-aware system-level modeling and management for Multi-Processor Systems-on-Chip

机译:多处理器片上系统的热感知系统级建模和管理

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Multi-Processor Systems-on-Chip (MPSoCs) are penetrating the electronics market as a powerful, yet commercially viable, solution to answer the strong and steadily growing demand for scalable and high performance systems, at limited design complexity. However, it is critical to develop dedicated system-level design methodologies for multi-core architectures that seamlessly address their thermal modeling, analysis and management. In this work, we first formulate the problem of system-level thermal modeling and link it to produce a global thermal management formulation as a discrete-time optimal control problem, which can be solved using finite-horizon model-predictive control (MPC) techniques, while adapting to the actual time-varying unbalanced MPSoC workload requirements. Finally, we compare the system-level MPC-based thermal modeling and management approaches on an industrial 8-core MPSoC design and show their different trade-offs regarding performance while respecting operating temperature bounds.
机译:多处理器片上系统(MPSoC)渗透电子市场,是一种功能强大但在商业上可行的解决方案,能够以有限的设计复杂性来满足对可扩展和高性能系统的强劲且稳定增长的需求。但是,至关重要的是为多核架构开发专用的系统级设计方法,以无缝解决其热建模,分析和管理问题。在这项工作中,我们首先提出系统级热模型的问题,并将其链接起来以产生全局热管理公式,作为离散时间最优控制问题,可以使用有限水平模型预测控制(MPC)技术解决该问题。 ,同时适应实际时变的不平衡MPSoC工作负载需求。最后,我们在工业8核MPSoC设计上比较了基于系统级基于MPC的热建模和管理方法,并在考虑工作温度范围的同时,展示了它们在性能方面的不同权衡。

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