P. Anuradha, H. Rallapalli, G. Narasimha, Syed Musthak Ahmed
{"title":"Efficient workload characterization technique for heterogeneous processors","authors":"P. Anuradha, H. Rallapalli, G. Narasimha, Syed Musthak Ahmed","doi":"10.1109/IADCC.2015.7154819","DOIUrl":null,"url":null,"abstract":"As the embedded computing becomes advanced, more and more functionality is becoming available on the mobile devices. The workloads on earlier generations of mobile devices were mostly limited to chat, e-mail or Web browsing apart from the use as phones. Multi-media workloads such as the video are on the rise; in addition many users play games or use apps on the latest mobile devices. The emergence of these new workloads has resulted in the high performance demands on the mobile devices. System level design space exploration for high performance embedded systems is a very important problem that has become very challenging due to the advent of multi cores, GPUs, FPGAs and DSPs along with a large variety of energy efficient memory systems. To perform efficient design space exploration for SoCs adopted workload characterizations approach. This paper shows workload characterization for a variety of heterogeneous processors such as the DSPs and FPGAs.","PeriodicalId":123908,"journal":{"name":"2015 IEEE International Advance Computing Conference (IACC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Advance Computing Conference (IACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IADCC.2015.7154819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
As the embedded computing becomes advanced, more and more functionality is becoming available on the mobile devices. The workloads on earlier generations of mobile devices were mostly limited to chat, e-mail or Web browsing apart from the use as phones. Multi-media workloads such as the video are on the rise; in addition many users play games or use apps on the latest mobile devices. The emergence of these new workloads has resulted in the high performance demands on the mobile devices. System level design space exploration for high performance embedded systems is a very important problem that has become very challenging due to the advent of multi cores, GPUs, FPGAs and DSPs along with a large variety of energy efficient memory systems. To perform efficient design space exploration for SoCs adopted workload characterizations approach. This paper shows workload characterization for a variety of heterogeneous processors such as the DSPs and FPGAs.