K. Cheng, A. Zarezadeh, F. Mühlbauer, C. Tanougast, C. Bobda
{"title":"自组织智能平台上的自动重构","authors":"K. Cheng, A. Zarezadeh, F. Mühlbauer, C. Tanougast, C. Bobda","doi":"10.1109/AHS.2010.5546243","DOIUrl":null,"url":null,"abstract":"This paper proposes a new approach for the utilization of reconfigurable hardware in a self-organized context. A concept and a system are presented under the form of Reconfigurable Self-Organized Systems (RSS). The goal is to study the impact of FPGA based systems in a self-organized networked environment. Partial Reconfiguration is used to implement hardware accelerators at runtime. The proposed system is designed to study at each level, parameters that influence performance. As results, first timing measurements of partial reconfiguration are proposed. They are seen from the software point of view and show effects of partial reconfiguration technology on the general performance of RSS.","PeriodicalId":101655,"journal":{"name":"2010 NASA/ESA Conference on Adaptive Hardware and Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Auto-reconfiguration on self-organized intelligent platform\",\"authors\":\"K. Cheng, A. Zarezadeh, F. Mühlbauer, C. Tanougast, C. Bobda\",\"doi\":\"10.1109/AHS.2010.5546243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new approach for the utilization of reconfigurable hardware in a self-organized context. A concept and a system are presented under the form of Reconfigurable Self-Organized Systems (RSS). The goal is to study the impact of FPGA based systems in a self-organized networked environment. Partial Reconfiguration is used to implement hardware accelerators at runtime. The proposed system is designed to study at each level, parameters that influence performance. As results, first timing measurements of partial reconfiguration are proposed. They are seen from the software point of view and show effects of partial reconfiguration technology on the general performance of RSS.\",\"PeriodicalId\":101655,\"journal\":{\"name\":\"2010 NASA/ESA Conference on Adaptive Hardware and Systems\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 NASA/ESA Conference on Adaptive Hardware and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AHS.2010.5546243\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 NASA/ESA Conference on Adaptive Hardware and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AHS.2010.5546243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Auto-reconfiguration on self-organized intelligent platform
This paper proposes a new approach for the utilization of reconfigurable hardware in a self-organized context. A concept and a system are presented under the form of Reconfigurable Self-Organized Systems (RSS). The goal is to study the impact of FPGA based systems in a self-organized networked environment. Partial Reconfiguration is used to implement hardware accelerators at runtime. The proposed system is designed to study at each level, parameters that influence performance. As results, first timing measurements of partial reconfiguration are proposed. They are seen from the software point of view and show effects of partial reconfiguration technology on the general performance of RSS.