L. Gauthier, T. Ishihara, Hideki Takase, H. Tomiyama, H. Takada
{"title":"最小化刮刮板内存使用中的任务间干扰,以降低多任务系统的能耗","authors":"L. Gauthier, T. Ishihara, Hideki Takase, H. Tomiyama, H. Takada","doi":"10.1145/1878921.1878945","DOIUrl":null,"url":null,"abstract":"This paper presents a new technique for reducing the energy consumption of a multi-task system by sharing its scratchpad memory (SPM) space among the tasks. With this technique, tasks can interfere by using common areas of the SPM. However, this requires to update these areas during context switches, which involves considerable overheads. Hence, an integer linear programming formulation is used at compile time for finding the best assignment of memory objects to the SPM and their respective locations inside it. Experiments show that the technique achieves up to 85% energy reduction with 8Kb of SPM and surpasses other sharing approaches.","PeriodicalId":136293,"journal":{"name":"International Conference on Compilers, Architecture, and Synthesis for Embedded Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Minimizing inter-task interferences in scratch-pad memory usage for reducing the energy consumption of multi-task systems\",\"authors\":\"L. Gauthier, T. Ishihara, Hideki Takase, H. Tomiyama, H. Takada\",\"doi\":\"10.1145/1878921.1878945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new technique for reducing the energy consumption of a multi-task system by sharing its scratchpad memory (SPM) space among the tasks. With this technique, tasks can interfere by using common areas of the SPM. However, this requires to update these areas during context switches, which involves considerable overheads. Hence, an integer linear programming formulation is used at compile time for finding the best assignment of memory objects to the SPM and their respective locations inside it. Experiments show that the technique achieves up to 85% energy reduction with 8Kb of SPM and surpasses other sharing approaches.\",\"PeriodicalId\":136293,\"journal\":{\"name\":\"International Conference on Compilers, Architecture, and Synthesis for Embedded Systems\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Compilers, Architecture, and Synthesis for Embedded Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1878921.1878945\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Compilers, Architecture, and Synthesis for Embedded Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1878921.1878945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Minimizing inter-task interferences in scratch-pad memory usage for reducing the energy consumption of multi-task systems
This paper presents a new technique for reducing the energy consumption of a multi-task system by sharing its scratchpad memory (SPM) space among the tasks. With this technique, tasks can interfere by using common areas of the SPM. However, this requires to update these areas during context switches, which involves considerable overheads. Hence, an integer linear programming formulation is used at compile time for finding the best assignment of memory objects to the SPM and their respective locations inside it. Experiments show that the technique achieves up to 85% energy reduction with 8Kb of SPM and surpasses other sharing approaches.