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Microprocessor Power Supply Noise Aware Floorplanning Using a Circuit-Architectural Framework

机译:使用电路架构框架的微处理器电源噪声感知布局

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With continued scaling of transistor feature size, aggressive use of power saving techniques exacerbates the Power Supply Noise (PSN) problem in high performance microprocessors. PSN in an integrated circuit depends on the interplay of the intrinsic circuit characteristics and the runtime execution of programs on the circuit. Consequently, accurate estimation of PSN in a microprocessor requires combining architectural level activity information with detailed circuit level power supply network modeling. In this paper, we combine architectural execution characteristics of real workloads with detailed power grid modeling, to create an integrated circuit-architectural framework for PSN estimation. We propose a PSN aware floorplanning algorithm using our circuit-architectural framework to reduce the decoupling capacitance requirement of the chip. We evaluate our algorithm on the high performance Alpha processor and several MCNC benchmarks at the 45 nm technology node. Our results show on an average 18.94% improvement in PSN reduction over a recently proposed PSN aware floorplanning technique for microprocessors.
机译:随着晶体管功能尺寸的不断缩小,节电技术的积极使用加剧了高性能微处理器中的电源噪声(PSN)问题。集成电路中的PSN取决于固有电路特性的相互作用和电路上程序的运行时执行。因此,微处理器中PSN的准确估计需要将架构级别的活动信息与详细的电路级别的电源网络建模相结合。在本文中,我们将实际工作负载的架构执行特征与详细的电网建模相结合,以创建用于PSN估计的集成电路电路架构框架。我们使用电路架构框架提出了一种PSN感知布局规划算法,以减少芯片的去耦电容要求。我们在45纳米技术节点上的高性能Alpha处理器和多个MCNC基准上评估我们的算法。我们的结果表明,与最近提出的用于微处理器的PSN感知平面规划技术相比,PSN降低平均提高了18.94%。

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