Simona Nedelcheva, K. Georgieva, P. Koprinkova-Hristova
{"title":"Parallel Implementation of the Model of Retina Ganglion Cells Layer","authors":"Simona Nedelcheva, K. Georgieva, P. Koprinkova-Hristova","doi":"10.1109/INISTA49547.2020.9194616","DOIUrl":null,"url":null,"abstract":"The paper presents results from implementation of parallel simulation of a model of layer of retina ganglion cells. The aim was to decrease computational time since this layer appeared to be the bottleneck in the developed hierarchical model of human visual system. Each retina ganglion cell was modelled by a spatio-temporal filter convolved with visual scene observed by the eyes so its computational time was crucial to overall simulation. Our parallel implementation that distributes pieces of the layer to the several independently working processors decreased significantly the computational time.","PeriodicalId":124632,"journal":{"name":"2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INISTA49547.2020.9194616","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 paper presents results from implementation of parallel simulation of a model of layer of retina ganglion cells. The aim was to decrease computational time since this layer appeared to be the bottleneck in the developed hierarchical model of human visual system. Each retina ganglion cell was modelled by a spatio-temporal filter convolved with visual scene observed by the eyes so its computational time was crucial to overall simulation. Our parallel implementation that distributes pieces of the layer to the several independently working processors decreased significantly the computational time.