Energy optimization techniques on SRAM: A survey

G. Indumathi, V. Aarthi
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引用次数: 4

Abstract

The need for low-power design is becoming a major issue in high-performance digital systems such as microprocessors, Digital Signal Processors (DSPs) and other applications. The increasing market of mobile devices and battery powered portable electronic systems is creating demands for chips that consume the smallest possible amount of power. On the one hand, hundreds to millions of transistors can be integrated on the same chip using System on Chip (SoC) design methodologies. On the other hand, the shrinking feature sizes and increasing circuit speed causes higher power consumption, which not only shorten the battery life of handheld devices, but also lead to thermal and reliability problems. Until now various techniques of energy optimization have come forward and effectively contributed to the problem of energy optimization. In this paper, we discuss the various factors for designing the low power SRAM cells by analyzing the power dissipation issues by considering the basic Static Random Access Memory (SRAM) structure and concentrate on supply voltage, parallelism and memory architecture. Regarding the supply voltage, the voltage scaling technique with hybrid parallelism is surveyed and various cache architectures for memory has been addressed to optimize the energy. The energy optimization in memory array could be achieved by an efficient SRAM cell along with sense amplifiers and read write circuitry.
SRAM的能量优化技术综述
对低功耗设计的需求正在成为高性能数字系统(如微处理器、数字信号处理器(dsp)和其他应用)中的一个主要问题。移动设备和电池供电的便携式电子系统市场的不断增长,对消耗尽可能少的能量的芯片产生了需求。一方面,使用片上系统(SoC)设计方法,可以在同一芯片上集成数亿个晶体管。另一方面,特征尺寸的缩小和电路速度的提高导致了更高的功耗,这不仅缩短了手持设备的电池寿命,而且还导致了散热和可靠性问题。迄今为止,各种能源优化技术不断涌现,有效地解决了能源优化问题。本文以静态随机存取存储器(SRAM)的基本结构为例,分析了低功耗SRAM单元的功耗问题,重点讨论了供电电压、并行性和存储器结构。在电源电压方面,研究了混合并行的电压缩放技术,并讨论了各种存储器缓存架构以优化能量。存储阵列的能量优化可以通过高效的SRAM单元、感测放大器和读写电路来实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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