Kai Huang, Iuliana Bacivarov, Jun Liu, Wolfgang Haid
{"title":"面向流的MPSoC模块化快速仿真框架","authors":"Kai Huang, Iuliana Bacivarov, Jun Liu, Wolfgang Haid","doi":"10.1109/SIES.2009.5196198","DOIUrl":null,"url":null,"abstract":"The performance estimation of complex multi-processor systems-on-chip (MPSoC) in a reasonable amount of time and with a good accuracy becomes more and more challenging due to the increasing number of embedded components and the resulting complex interactions. In this paper, we present a modular trace-based simulation framework, targeting the performance analysis of stream-oriented applications on complex MPSoC architectures. Our framework can analyze systems with a large number of hardware components, while considering various aspects like resource sharing, multi-hop communication, and memory allocation. We demonstrate the potential of our framework by real-life case studies and obtain a speedup of several orders of magnitude and an average accuracy of 97% when compared with the execution on a commercial instruction-accurate simulator.","PeriodicalId":133325,"journal":{"name":"2009 IEEE International Symposium on Industrial Embedded Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A modular fast simulation framework for stream-oriented MPSoC\",\"authors\":\"Kai Huang, Iuliana Bacivarov, Jun Liu, Wolfgang Haid\",\"doi\":\"10.1109/SIES.2009.5196198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The performance estimation of complex multi-processor systems-on-chip (MPSoC) in a reasonable amount of time and with a good accuracy becomes more and more challenging due to the increasing number of embedded components and the resulting complex interactions. In this paper, we present a modular trace-based simulation framework, targeting the performance analysis of stream-oriented applications on complex MPSoC architectures. Our framework can analyze systems with a large number of hardware components, while considering various aspects like resource sharing, multi-hop communication, and memory allocation. We demonstrate the potential of our framework by real-life case studies and obtain a speedup of several orders of magnitude and an average accuracy of 97% when compared with the execution on a commercial instruction-accurate simulator.\",\"PeriodicalId\":133325,\"journal\":{\"name\":\"2009 IEEE International Symposium on Industrial Embedded Systems\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Symposium on Industrial Embedded Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIES.2009.5196198\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Symposium on Industrial Embedded Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIES.2009.5196198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A modular fast simulation framework for stream-oriented MPSoC
The performance estimation of complex multi-processor systems-on-chip (MPSoC) in a reasonable amount of time and with a good accuracy becomes more and more challenging due to the increasing number of embedded components and the resulting complex interactions. In this paper, we present a modular trace-based simulation framework, targeting the performance analysis of stream-oriented applications on complex MPSoC architectures. Our framework can analyze systems with a large number of hardware components, while considering various aspects like resource sharing, multi-hop communication, and memory allocation. We demonstrate the potential of our framework by real-life case studies and obtain a speedup of several orders of magnitude and an average accuracy of 97% when compared with the execution on a commercial instruction-accurate simulator.