{"title":"Analyzing heterogeneous computing architectures for ADAS and Mobile Imaging applications","authors":"Rafal Malewski, Markus Levy, P. Torelli","doi":"10.1109/HPEC.2016.7761611","DOIUrl":null,"url":null,"abstract":"This document describes a benchmark suite that utilizes real-world workloads from ADAS and Mobile Imaging, to stress various forms of compute resources on embedded heterogeneous architectures, for determination of optimal distribution of compute load across accelerators.","PeriodicalId":308129,"journal":{"name":"2016 IEEE High Performance Extreme Computing Conference (HPEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE High Performance Extreme Computing Conference (HPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPEC.2016.7761611","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
This document describes a benchmark suite that utilizes real-world workloads from ADAS and Mobile Imaging, to stress various forms of compute resources on embedded heterogeneous architectures, for determination of optimal distribution of compute load across accelerators.