{"title":"Towards a choice of region algorithms for the evaluation of parallel vision architectures","authors":"P. Bonnin, E. Pissaloux, T. Dillon","doi":"10.1109/ICAPP.1995.472298","DOIUrl":null,"url":null,"abstract":"The research presented here focuses on the general problem of finding tools and methods for parallel machine evaluation. \"Benchmarks\" are the most popular tools for machines speed comparison, unfortunately, they do not give any information on the most convenient hardware structures for implementation of a given vision problem. This paper tries to overcome this problem, and proposes a characterization of a tool for the evaluation of parallel architecture (which is a generalization of the benchmark concept); however, here we focus on the area of computer vision.<<ETX>>","PeriodicalId":448130,"journal":{"name":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAPP.1995.472298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The research presented here focuses on the general problem of finding tools and methods for parallel machine evaluation. "Benchmarks" are the most popular tools for machines speed comparison, unfortunately, they do not give any information on the most convenient hardware structures for implementation of a given vision problem. This paper tries to overcome this problem, and proposes a characterization of a tool for the evaluation of parallel architecture (which is a generalization of the benchmark concept); however, here we focus on the area of computer vision.<>
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