{"title":"并行前缀加法器动态功耗对比分析","authors":"Ireneusz Brzozowski","doi":"10.1145/3651984","DOIUrl":null,"url":null,"abstract":"<p>The Newcomb-Benford law is the law, also known as Benford's law, of anomalous numbers stating that in many real-life numerical datasets, including physical and statistical ones, numbers have small initial digit. Numbers irregularity observed in nature leads to the question, is the arithmetical-logical unit, responsible for performing calculations in computers optimal? Are there other architectures, not as regular as commonly used Parallel Prefix Adders that can perform better, especially when operating on the datasets that are not purely random, but irregular,? In this article, structures of propagate-generate tree are compared including regular and irregular configurations – various structures are examined: regular, irregular, with gray cells only, with both gray and black and with higher valency cells. Performance is evaluated in terms of energy consumption. The evaluation was performed using the extended power model of static CMOS gates. The model is based on changes of vectors, naturally taking into account spatio-temporal correlations. The energy parameters of the designed cells were calculated on the basis of electrical (Spice) simulation. Designs and simulations were done in Cadence environment, calculations of the power dissipation were performed in Matlab. The results clearly show that there are PPA structures that perform much better for a specific type of numerical data. Negligent design can lead to an increase greater than two times of power consumption. The novel architectures of PPA described in this work might find practical applications in specialized adders dealing with numerical datasets, such as, for example, sine functions commonly used in digital signal processing.</p>","PeriodicalId":50944,"journal":{"name":"ACM Transactions on Design Automation of Electronic Systems","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative Analysis of Dynamic Power Consumption of Parallel Prefix Adder\",\"authors\":\"Ireneusz Brzozowski\",\"doi\":\"10.1145/3651984\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The Newcomb-Benford law is the law, also known as Benford's law, of anomalous numbers stating that in many real-life numerical datasets, including physical and statistical ones, numbers have small initial digit. Numbers irregularity observed in nature leads to the question, is the arithmetical-logical unit, responsible for performing calculations in computers optimal? Are there other architectures, not as regular as commonly used Parallel Prefix Adders that can perform better, especially when operating on the datasets that are not purely random, but irregular,? In this article, structures of propagate-generate tree are compared including regular and irregular configurations – various structures are examined: regular, irregular, with gray cells only, with both gray and black and with higher valency cells. Performance is evaluated in terms of energy consumption. The evaluation was performed using the extended power model of static CMOS gates. The model is based on changes of vectors, naturally taking into account spatio-temporal correlations. The energy parameters of the designed cells were calculated on the basis of electrical (Spice) simulation. Designs and simulations were done in Cadence environment, calculations of the power dissipation were performed in Matlab. The results clearly show that there are PPA structures that perform much better for a specific type of numerical data. Negligent design can lead to an increase greater than two times of power consumption. The novel architectures of PPA described in this work might find practical applications in specialized adders dealing with numerical datasets, such as, for example, sine functions commonly used in digital signal processing.</p>\",\"PeriodicalId\":50944,\"journal\":{\"name\":\"ACM Transactions on Design Automation of Electronic Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Transactions on Design Automation of Electronic Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3651984\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Design Automation of Electronic Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3651984","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
Comparative Analysis of Dynamic Power Consumption of Parallel Prefix Adder
The Newcomb-Benford law is the law, also known as Benford's law, of anomalous numbers stating that in many real-life numerical datasets, including physical and statistical ones, numbers have small initial digit. Numbers irregularity observed in nature leads to the question, is the arithmetical-logical unit, responsible for performing calculations in computers optimal? Are there other architectures, not as regular as commonly used Parallel Prefix Adders that can perform better, especially when operating on the datasets that are not purely random, but irregular,? In this article, structures of propagate-generate tree are compared including regular and irregular configurations – various structures are examined: regular, irregular, with gray cells only, with both gray and black and with higher valency cells. Performance is evaluated in terms of energy consumption. The evaluation was performed using the extended power model of static CMOS gates. The model is based on changes of vectors, naturally taking into account spatio-temporal correlations. The energy parameters of the designed cells were calculated on the basis of electrical (Spice) simulation. Designs and simulations were done in Cadence environment, calculations of the power dissipation were performed in Matlab. The results clearly show that there are PPA structures that perform much better for a specific type of numerical data. Negligent design can lead to an increase greater than two times of power consumption. The novel architectures of PPA described in this work might find practical applications in specialized adders dealing with numerical datasets, such as, for example, sine functions commonly used in digital signal processing.
期刊介绍:
TODAES is a premier ACM journal in design and automation of electronic systems. It publishes innovative work documenting significant research and development advances on the specification, design, analysis, simulation, testing, and evaluation of electronic systems, emphasizing a computer science/engineering orientation. Both theoretical analysis and practical solutions are welcome.