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Power and Temperature Estimation for Soft-core Processor Task at the SystemC/TLM

机译:SystemC / TLM上的软核处理器任务的功率和温度估计

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In order to meet the growing computation requirements of modern embedded applications, systems on chip are becoming one of the most appropriate solutions while maintaining a low power profile. Consequently, early estimations for power and temperature must be done at high level models that offer a better trade-off between accuracy and time. The Transaction Level Modeling with the SystemC presents the suitable approach for simulating the embedded software on proposed hardware architectures.Power estimation can be done as far as the temperature computations are available. In these terms, the one in question is obtained by coupling the SystmeC/TLM model with the ATMI (Analytical Model of Temperature in Microprocessors) library. For this task, the present paper will focus on power and especially thermal behavior, since the static power starts increasing as the technology node is decreasing.We explore in our work three applications based on the game of life to distinguish the effect of the software on the minimal hardware simulated by the LIBTLMPWT (Library of Power and Temperature at the Transaction-Level-Modeling) library used. This one spotlights on a soft-core processor `Microblaze' as a complex architecture compared to the virtual platforms done.
机译:为了满足现代嵌入式应用不断增长的计算要求,片上系统已成为最合适的解决方案之一,同时又保持了低功耗。因此,必须在高级模型上对功率和温度进行早期估算,以便在精度和时间之间取得更好的权衡。使用SystemC进行事务处理级别建模为在所建议的硬件体系结构上仿真嵌入式软件提供了一种合适的方法。只要温度计算可用,就可以进行功耗估算。用这些术语,可以通过将SystmeC / TLM模型与ATMI(微处理器中的温度分析模型)库耦合来获得一个问题。对于此任务,由于静态功率随着技术节点的减少而开始增加,因此本文将重点研究功率,尤其是热行为。在我们的工作中,我们基于生命的游戏探索了三种应用,以区分软件对生命的影响。由LIBTLMPWT(事务级别建模中的功率和温度库)库模拟的最小硬件。与已完成的虚拟平台相比,这一主题着重介绍了作为复杂架构的软核处理器“ Microblaze”。

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