Exploring the Approaches to Data Flow Computing

作     者：Mohammad B.Khan Abdul R.Khan Hasan Alkahtani 

作者机构：Department of Electrical and Computer EngineeringTechnical University of MunichArcisstrasse 2180333 MunichGermany Department of Computer ScienceCCSITKing Faisal University31982Al AhsaKSA 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第71卷第5期

页      面：2333-2346页

核心收录：

学科分类：08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Processor architecture data flow architectures Von-Neumann model control flow architectures 

摘      要：Architectures based on the data flow computing model provide an alternative to the conventional Von-Neumann architecture that are widelyused for general purpose *** based on the data flow architecture employ fine-grain data-driven *** architectures have thepotential to exploit the inherent parallelism in compute intensive applicationslike signal processing,image and video processing and so on and can thusachieve faster throughputs and higher power *** this paper,severaldata flow computing architectures are explored,and their main architecturalfeatures are ***,a classification of the processors is presented based on whether they employ either the data flow execution modelexclusively or in combination with the control flow model and are accordinglygrouped as exclusive data flow or hybrid *** hybrid categoryis further subdivided as conjoint or accelerator-style architectures dependingon how they deploy and separate the data flow and control flow executionmodel within their execution ***,a brief comparison and discussionof their advantages and drawbacks is also *** this study weconclude that although the data flow architectures are seen to have maturedsignificantly,issues like data-structure handling and lack of efficient placementand scheduling algorithms have prevented these from becoming commerciallyviable.