{"title":"定制的MPSoC合成任务序列","authors":"Liang Chen, Nicolas Boichat, T. Mitra","doi":"10.1109/SASP.2011.5941072","DOIUrl":null,"url":null,"abstract":"Multiprocessor System-on-Chip (MPSoC) platforms have become increasingly popular for high-performance embedded applications. Each processing element (PE) on such platforms can be tuned to match the computational demands of the tasks executing on it, creating a heterogeneous multiprocessor system. Extensible processor cores, where the base instruction-set architecture can be augmented with application-specific custom instructions, have recently emerged as flexible building blocks for heterogeneous MPSoC platforms. However, the customization of the different PEs has to be carried out in a synergistic manner so as to create an optimal system. In this work, we propose a pseudo-polynomial time algorithm to design the most resource-efficient customized MPSoC platform for mapping linear task graphs representing streaming applications, under deadline constraints. Experimental validation with MP3 encoder and MPEG-2 encoder applications confirms the efficiency of our approach.","PeriodicalId":375788,"journal":{"name":"2011 IEEE 9th Symposium on Application Specific Processors (SASP)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Customized MPSoC synthesis for task sequence\",\"authors\":\"Liang Chen, Nicolas Boichat, T. Mitra\",\"doi\":\"10.1109/SASP.2011.5941072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multiprocessor System-on-Chip (MPSoC) platforms have become increasingly popular for high-performance embedded applications. Each processing element (PE) on such platforms can be tuned to match the computational demands of the tasks executing on it, creating a heterogeneous multiprocessor system. Extensible processor cores, where the base instruction-set architecture can be augmented with application-specific custom instructions, have recently emerged as flexible building blocks for heterogeneous MPSoC platforms. However, the customization of the different PEs has to be carried out in a synergistic manner so as to create an optimal system. In this work, we propose a pseudo-polynomial time algorithm to design the most resource-efficient customized MPSoC platform for mapping linear task graphs representing streaming applications, under deadline constraints. Experimental validation with MP3 encoder and MPEG-2 encoder applications confirms the efficiency of our approach.\",\"PeriodicalId\":375788,\"journal\":{\"name\":\"2011 IEEE 9th Symposium on Application Specific Processors (SASP)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 9th Symposium on Application Specific Processors (SASP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SASP.2011.5941072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 9th Symposium on Application Specific Processors (SASP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SASP.2011.5941072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiprocessor System-on-Chip (MPSoC) platforms have become increasingly popular for high-performance embedded applications. Each processing element (PE) on such platforms can be tuned to match the computational demands of the tasks executing on it, creating a heterogeneous multiprocessor system. Extensible processor cores, where the base instruction-set architecture can be augmented with application-specific custom instructions, have recently emerged as flexible building blocks for heterogeneous MPSoC platforms. However, the customization of the different PEs has to be carried out in a synergistic manner so as to create an optimal system. In this work, we propose a pseudo-polynomial time algorithm to design the most resource-efficient customized MPSoC platform for mapping linear task graphs representing streaming applications, under deadline constraints. Experimental validation with MP3 encoder and MPEG-2 encoder applications confirms the efficiency of our approach.