{"title":"Low power memory design","authors":"Wen-Tsong Shiue","doi":"10.1109/ASAP.2002.1030704","DOIUrl":null,"url":null,"abstract":"In this paper, we present a novel design procedure for multi-module, multi-port memory design that satisfies area and/or energy/timing constraints. Our procedure consists of (i) use of storage bandwidth optimization (SBO) techniques to simplify the conflict graph and (ii) use of memory exploration techniques to determine the best memory configuration (number of modules, size and number of ports per module) with the minimum area if the energy and timing are bounded or with the minimum energy/timing if the area is bounded. Here the simplest conflict graph implies more possibilities for the arrays assigned to the same module without the penalty in an increase of the number of ports for each module. Our benchmark shows that the heuristic algorithm is very efficient to decide the best memory configuration for the system constraints (timing, area, or energy). In addition, the CACTI tool (Premkishore Shivakumar and N.P. Jouppi, 2001) is modified to estimate the timing, area, and energy for each module in different CMOS technologies (0.8 /spl mu/m, 0.35 /spl mu/m, and 0.18 /spl mu/m). Furthermore, we consider the lifetime for arrays; this results in significant reduction in timing, area, and energy for the arrays executed in different cycles sharing the same memory module.","PeriodicalId":424082,"journal":{"name":"Proceedings IEEE International Conference on Application- Specific Systems, Architectures, and Processors","volume":"32 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE International Conference on Application- Specific Systems, Architectures, and Processors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.2002.1030704","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

In this paper, we present a novel design procedure for multi-module, multi-port memory design that satisfies area and/or energy/timing constraints. Our procedure consists of (i) use of storage bandwidth optimization (SBO) techniques to simplify the conflict graph and (ii) use of memory exploration techniques to determine the best memory configuration (number of modules, size and number of ports per module) with the minimum area if the energy and timing are bounded or with the minimum energy/timing if the area is bounded. Here the simplest conflict graph implies more possibilities for the arrays assigned to the same module without the penalty in an increase of the number of ports for each module. Our benchmark shows that the heuristic algorithm is very efficient to decide the best memory configuration for the system constraints (timing, area, or energy). In addition, the CACTI tool (Premkishore Shivakumar and N.P. Jouppi, 2001) is modified to estimate the timing, area, and energy for each module in different CMOS technologies (0.8 /spl mu/m, 0.35 /spl mu/m, and 0.18 /spl mu/m). Furthermore, we consider the lifetime for arrays; this results in significant reduction in timing, area, and energy for the arrays executed in different cycles sharing the same memory module.
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低功耗存储器设计
在本文中,我们提出了一种新的多模块、多端口存储器设计方法,以满足面积和/或能量/时间限制。我们的程序包括(i)使用存储带宽优化(SBO)技术来简化冲突图和(ii)使用内存探索技术来确定最佳内存配置(模块数量,每个模块的大小和端口数量),如果能量和时间是有限的,则使用最小的能量/时间,如果区域是有限的。这里最简单的冲突图意味着分配给相同模块的数组有更多的可能性,而不会因为每个模块的端口数量增加而受到惩罚。我们的基准测试表明,启发式算法在为系统约束(时间、面积或能量)决定最佳内存配置方面非常有效。此外,对CACTI工具(Premkishore Shivakumar和N.P. Jouppi, 2001)进行了修改,以估计不同CMOS技术(0.8 /spl mu/m、0.35 /spl mu/m和0.18 /spl mu/m)中每个模块的时间、面积和能量。此外,我们考虑数组的生命周期;这大大减少了在共享相同内存模块的不同周期中执行的阵列的时间、面积和能量。
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