{"title":"广义执行时间估计","authors":"A. Rechberger, E. Brenner","doi":"10.1109/SIES.2018.8442107","DOIUrl":null,"url":null,"abstract":"While developing embedded devices a significant challenge is to choose the appropriate computing architecture. Especially during early design stages providing measurable metric on the performance demands to implement a specified algorithm is required. Usually this includes a large amount of target dependency, like the chosen micro-controller platform. This work aims on providing a generalized method to estimate the processing time of a dedicated algorithm, when being run on a variety of hardware choices. The focus is on a fast exploration of the hardware design space in order to provide guidance for selecting a suitable processing platform.","PeriodicalId":236091,"journal":{"name":"2018 IEEE 13th International Symposium on Industrial Embedded Systems (SIES)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Generalized Execution Time Estimation\",\"authors\":\"A. Rechberger, E. Brenner\",\"doi\":\"10.1109/SIES.2018.8442107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"While developing embedded devices a significant challenge is to choose the appropriate computing architecture. Especially during early design stages providing measurable metric on the performance demands to implement a specified algorithm is required. Usually this includes a large amount of target dependency, like the chosen micro-controller platform. This work aims on providing a generalized method to estimate the processing time of a dedicated algorithm, when being run on a variety of hardware choices. The focus is on a fast exploration of the hardware design space in order to provide guidance for selecting a suitable processing platform.\",\"PeriodicalId\":236091,\"journal\":{\"name\":\"2018 IEEE 13th International Symposium on Industrial Embedded Systems (SIES)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 13th International Symposium on Industrial Embedded Systems (SIES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIES.2018.8442107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 13th International Symposium on Industrial Embedded Systems (SIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIES.2018.8442107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
While developing embedded devices a significant challenge is to choose the appropriate computing architecture. Especially during early design stages providing measurable metric on the performance demands to implement a specified algorithm is required. Usually this includes a large amount of target dependency, like the chosen micro-controller platform. This work aims on providing a generalized method to estimate the processing time of a dedicated algorithm, when being run on a variety of hardware choices. The focus is on a fast exploration of the hardware design space in order to provide guidance for selecting a suitable processing platform.