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FALPEM: Framework for Architectural-Level Power Estimation and Optimization for Large Memory Sub-Systems

机译:FALPEM:大内存子系统的体系结构级功率估计和优化框架

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摘要

Framework is developed for estimation of power at pre register transfer level (RTL) stage for structured memory sub-systems. Power estimation model is proposed specifically targeting power consumed by clock network and interconnect. The model is validated with VCD-based simulation on back-annotated netlist of an 8 MB memory sub-system used as video RAM (VRAM) for high-end graphics applications. This methodology also forms the basis for low-power exploration driving floor plan choice, gating structure of data, and clock network. We demonstrate 57% reduction in dynamic power by using low-power techniques for the 8 MB VRAM used as frame buffer in a graphics processor. FALPEM can be extended to other applications like processor cache and ASIC designs.
机译:开发了用于在结构化存储子系统的寄存器预传输级别(RTL)阶段估算功耗的框架。提出了功率估计模型,专门针对时钟网络和互连消耗的功率。该模型在8 MB内存子系统的背面批注网表上通过基于VCD的仿真进行了验证,该子系统用作高端图形应用的视频RAM(VRAM)。这种方法还构成了低功耗探索驱动平面图选择,数据门控结构和时钟网络的基础。通过将低功耗技术用于图形处理器中用作帧缓冲区的8 MB VRAM,我们证明了动态功耗降低了57%。 FALPEM可以扩展到其他应用程序,例如处理器缓存和ASIC设计。

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