{"title":"Loop acceleration and instruction repeat support for application specific instruction-set processors","authors":"Zhenzhi Wu, Dake Liu, Xiaoyang Li","doi":"10.1109/SOCC.2015.7406957","DOIUrl":null,"url":null,"abstract":"Computation intensive tasks which consist of nested short loops usually suffer from massive control overhead, or memory size increasing when employing loop unrolling. In this approach, by introducing a modified instruction fetch unit with instruction FIFO and multiple loop controllers, loops can be performed in hardware, and single execution-cycle instructions can be executed in self-loop. Therefore no loop overhead exists for the optimized processor. The flexibility and the instruction granularity are maintained. Special domains for loop and repeat indications are added in the application-specific instructions. The proposed approach achieves dramatically performance and area benefits for many nested short loop dominated programs where the loops are determinable.","PeriodicalId":329464,"journal":{"name":"2015 28th IEEE International System-on-Chip Conference (SOCC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 28th IEEE International System-on-Chip Conference (SOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCC.2015.7406957","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
Computation intensive tasks which consist of nested short loops usually suffer from massive control overhead, or memory size increasing when employing loop unrolling. In this approach, by introducing a modified instruction fetch unit with instruction FIFO and multiple loop controllers, loops can be performed in hardware, and single execution-cycle instructions can be executed in self-loop. Therefore no loop overhead exists for the optimized processor. The flexibility and the instruction granularity are maintained. Special domains for loop and repeat indications are added in the application-specific instructions. The proposed approach achieves dramatically performance and area benefits for many nested short loop dominated programs where the loops are determinable.