{"title":"多输出函数映射技术降低fpga动态功耗","authors":"A. Opara, M. Kubica","doi":"10.34768/amcs-2023-0020","DOIUrl":null,"url":null,"abstract":"Abstract This article presents a synthesis strategy aimed at minimizing the dynamic power consumption of combinational circuits mapped in LUT blocks of FPGAs. The implemented circuits represent the mapping of multi-output functions. Properly selected multi-output functions are described using a new form of the binary decision diagram (BDD), which is an extension of pseudomulti-terminal BDDs (PMTBDDs) in the literature. The essence of limiting power consumption is to include additional parameters during decomposition, such as the switching activity associated with the switching PMTBDD (SWPMTBDD). In addition, we highlight the key importance of circuit optimization methods via non-disjoint decomposition when minimizing power consumption. An algorithm is proposed to assess the effectiveness of decomposition, considering several parameters, such as the number of non-disjoint decompositions as well as that of shared and non-shared bound functions or the switching activity. The results of experiments that demonstrate the effectiveness of the proposed methods are also included.","PeriodicalId":50339,"journal":{"name":"International Journal of Applied Mathematics and Computer Science","volume":"109 1","pages":"267 - 284"},"PeriodicalIF":1.6000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Technology Mapping of Multi–Output Functions Leading to the Reduction of Dynamic Power Consumption in FPGAS\",\"authors\":\"A. Opara, M. Kubica\",\"doi\":\"10.34768/amcs-2023-0020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This article presents a synthesis strategy aimed at minimizing the dynamic power consumption of combinational circuits mapped in LUT blocks of FPGAs. The implemented circuits represent the mapping of multi-output functions. Properly selected multi-output functions are described using a new form of the binary decision diagram (BDD), which is an extension of pseudomulti-terminal BDDs (PMTBDDs) in the literature. The essence of limiting power consumption is to include additional parameters during decomposition, such as the switching activity associated with the switching PMTBDD (SWPMTBDD). In addition, we highlight the key importance of circuit optimization methods via non-disjoint decomposition when minimizing power consumption. An algorithm is proposed to assess the effectiveness of decomposition, considering several parameters, such as the number of non-disjoint decompositions as well as that of shared and non-shared bound functions or the switching activity. The results of experiments that demonstrate the effectiveness of the proposed methods are also included.\",\"PeriodicalId\":50339,\"journal\":{\"name\":\"International Journal of Applied Mathematics and Computer Science\",\"volume\":\"109 1\",\"pages\":\"267 - 284\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Applied Mathematics and Computer Science\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.34768/amcs-2023-0020\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Mathematics and Computer Science","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.34768/amcs-2023-0020","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Technology Mapping of Multi–Output Functions Leading to the Reduction of Dynamic Power Consumption in FPGAS
Abstract This article presents a synthesis strategy aimed at minimizing the dynamic power consumption of combinational circuits mapped in LUT blocks of FPGAs. The implemented circuits represent the mapping of multi-output functions. Properly selected multi-output functions are described using a new form of the binary decision diagram (BDD), which is an extension of pseudomulti-terminal BDDs (PMTBDDs) in the literature. The essence of limiting power consumption is to include additional parameters during decomposition, such as the switching activity associated with the switching PMTBDD (SWPMTBDD). In addition, we highlight the key importance of circuit optimization methods via non-disjoint decomposition when minimizing power consumption. An algorithm is proposed to assess the effectiveness of decomposition, considering several parameters, such as the number of non-disjoint decompositions as well as that of shared and non-shared bound functions or the switching activity. The results of experiments that demonstrate the effectiveness of the proposed methods are also included.
期刊介绍:
The International Journal of Applied Mathematics and Computer Science is a quarterly published in Poland since 1991 by the University of Zielona Góra in partnership with De Gruyter Poland (Sciendo) and Lubuskie Scientific Society, under the auspices of the Committee on Automatic Control and Robotics of the Polish Academy of Sciences.
The journal strives to meet the demand for the presentation of interdisciplinary research in various fields related to control theory, applied mathematics, scientific computing and computer science. In particular, it publishes high quality original research results in the following areas:
-modern control theory and practice-
artificial intelligence methods and their applications-
applied mathematics and mathematical optimisation techniques-
mathematical methods in engineering, computer science, and biology.