{"title":"MPPAs的高性能嵌入式处理评价","authors":"Zain-ul-Abdin, B. Svensson","doi":"10.1109/FCCM.2013.44","DOIUrl":null,"url":null,"abstract":"Embedded signal processing is facing the challenges of increased performance as well as to achieve energy efficiency. Massively parallel processor arrays (MPPAs) consisting of hundreds of processing cores offer the possibility of meeting the growing performance demand in an energy efficient way by exploiting parallelism instead of scaling the clock frequency of a single processor. In this paper we evaluate two selected commercial architectures belonging to the category of MPPA. The adopted approach for the evaluation is to implement a real, industrial application in the form of compute-intensive parts of Synthetic Aperture Radar (SAR) systems.","PeriodicalId":269887,"journal":{"name":"2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Evaluation of High-Performance Embedded Processing on MPPAs\",\"authors\":\"Zain-ul-Abdin, B. Svensson\",\"doi\":\"10.1109/FCCM.2013.44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Embedded signal processing is facing the challenges of increased performance as well as to achieve energy efficiency. Massively parallel processor arrays (MPPAs) consisting of hundreds of processing cores offer the possibility of meeting the growing performance demand in an energy efficient way by exploiting parallelism instead of scaling the clock frequency of a single processor. In this paper we evaluate two selected commercial architectures belonging to the category of MPPA. The adopted approach for the evaluation is to implement a real, industrial application in the form of compute-intensive parts of Synthetic Aperture Radar (SAR) systems.\",\"PeriodicalId\":269887,\"journal\":{\"name\":\"2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FCCM.2013.44\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCCM.2013.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Evaluation of High-Performance Embedded Processing on MPPAs
Embedded signal processing is facing the challenges of increased performance as well as to achieve energy efficiency. Massively parallel processor arrays (MPPAs) consisting of hundreds of processing cores offer the possibility of meeting the growing performance demand in an energy efficient way by exploiting parallelism instead of scaling the clock frequency of a single processor. In this paper we evaluate two selected commercial architectures belonging to the category of MPPA. The adopted approach for the evaluation is to implement a real, industrial application in the form of compute-intensive parts of Synthetic Aperture Radar (SAR) systems.