Jonas De Vylder, S. Donné, D. V. Haerenborgh, B. Goossens
{"title":"Real-time Machine Vision with GPU-acceleration using Quasar","authors":"Jonas De Vylder, S. Donné, D. V. Haerenborgh, B. Goossens","doi":"10.2352/ISSN.2470-1173.2016.14.IPMVA-375","DOIUrl":null,"url":null,"abstract":"The computational performance of graphical processing units (GPUs) has improved significantly, achieving even speed-up factors of 10x-50x compared to single-threaded CPU execution are not uncommon. This makes their use for high throughput machine vision very appealing. However, GPU programming is challenging, requiring a significant programming expertise. We present a new programming framework that mitigates the challenges common for GPU programming while maintaining the significant acceleration.","PeriodicalId":262142,"journal":{"name":"Image Processing: Machine Vision Applications","volume":"166 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Image Processing: Machine Vision Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2352/ISSN.2470-1173.2016.14.IPMVA-375","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The computational performance of graphical processing units (GPUs) has improved significantly, achieving even speed-up factors of 10x-50x compared to single-threaded CPU execution are not uncommon. This makes their use for high throughput machine vision very appealing. However, GPU programming is challenging, requiring a significant programming expertise. We present a new programming framework that mitigates the challenges common for GPU programming while maintaining the significant acceleration.