{"title":"Mixed-architecture process scheduling on tightly coupled reconfigurable computers","authors":"B. K. Hamilton, M. Inggs, Hayden Kwok-Hay So","doi":"10.1109/FPL.2014.6927421","DOIUrl":null,"url":null,"abstract":"The design and implementation of a multitasking runtime system for mixed-architecture applications on a tightly coupled FPGA-CPU platform is presented. The runtime environment and the user applications assume an underlying machine that encompasses multiple computing architectures within a unified machine model. Using this model, a unified process scheduling mechanism was developed that enables concurrent execution of multiple mixed-architecture processes. Scheduling and allocation strategies, including blocking and preemption, were implemented and evaluated with respect to performance and fairness on a Xilinx Zynq platform using a mix of synthetic workloads.","PeriodicalId":172795,"journal":{"name":"2014 24th International Conference on Field Programmable Logic and Applications (FPL)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 24th International Conference on Field Programmable Logic and Applications (FPL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPL.2014.6927421","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
The design and implementation of a multitasking runtime system for mixed-architecture applications on a tightly coupled FPGA-CPU platform is presented. The runtime environment and the user applications assume an underlying machine that encompasses multiple computing architectures within a unified machine model. Using this model, a unified process scheduling mechanism was developed that enables concurrent execution of multiple mixed-architecture processes. Scheduling and allocation strategies, including blocking and preemption, were implemented and evaluated with respect to performance and fairness on a Xilinx Zynq platform using a mix of synthetic workloads.