{"title":"摘要:基于COTS多核的可预测SoC架构","authors":"N. Shivaraman, Sriram Vasudevan, A. Easwaran","doi":"10.1109/RTAS.2016.7461331","DOIUrl":null,"url":null,"abstract":"Summary form only given. With the increasing complexity of real-time embedded applications and the availability of Commercial-Off-The-Shelf (COTS) multi-cores, time-predictable execution on these platforms has become a necessity. However, there are several challenges to achieving this predictability, primarily arising due to hardware resources shared between the cores (memory controllers, caches and shared interconnect). In this demo, we present a novel System-on-Chip (SoC) architecture based on COTS multi-cores that address some of these challenges. Specifically, we develop an architecture that enables COTS multi-cores to predictably access external memory. This SoC is designed using hybrid hardware platforms comprising a COTS multi-core and closely coupled Field Programmable Gate Array (FPGA), e.g., Xilinx Zynq ZC706. In our design, the COTS multi-core (ARM Cortex-A9 dual-core) is integrated using a high-speed interconnect with an arbiter module and the Memory Interface Generator (MIG) Xilinx memory controller on the FPGA. Through experiments we show that the proposed architecture has a precisely predictable worst-case memory access latency when compared to a COTS-only design.","PeriodicalId":338179,"journal":{"name":"2016 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Demo Abstract: Predictable SoC Architecture Based on COTS Multi-Core\",\"authors\":\"N. Shivaraman, Sriram Vasudevan, A. Easwaran\",\"doi\":\"10.1109/RTAS.2016.7461331\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given. With the increasing complexity of real-time embedded applications and the availability of Commercial-Off-The-Shelf (COTS) multi-cores, time-predictable execution on these platforms has become a necessity. However, there are several challenges to achieving this predictability, primarily arising due to hardware resources shared between the cores (memory controllers, caches and shared interconnect). In this demo, we present a novel System-on-Chip (SoC) architecture based on COTS multi-cores that address some of these challenges. Specifically, we develop an architecture that enables COTS multi-cores to predictably access external memory. This SoC is designed using hybrid hardware platforms comprising a COTS multi-core and closely coupled Field Programmable Gate Array (FPGA), e.g., Xilinx Zynq ZC706. In our design, the COTS multi-core (ARM Cortex-A9 dual-core) is integrated using a high-speed interconnect with an arbiter module and the Memory Interface Generator (MIG) Xilinx memory controller on the FPGA. Through experiments we show that the proposed architecture has a precisely predictable worst-case memory access latency when compared to a COTS-only design.\",\"PeriodicalId\":338179,\"journal\":{\"name\":\"2016 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTAS.2016.7461331\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTAS.2016.7461331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Demo Abstract: Predictable SoC Architecture Based on COTS Multi-Core
Summary form only given. With the increasing complexity of real-time embedded applications and the availability of Commercial-Off-The-Shelf (COTS) multi-cores, time-predictable execution on these platforms has become a necessity. However, there are several challenges to achieving this predictability, primarily arising due to hardware resources shared between the cores (memory controllers, caches and shared interconnect). In this demo, we present a novel System-on-Chip (SoC) architecture based on COTS multi-cores that address some of these challenges. Specifically, we develop an architecture that enables COTS multi-cores to predictably access external memory. This SoC is designed using hybrid hardware platforms comprising a COTS multi-core and closely coupled Field Programmable Gate Array (FPGA), e.g., Xilinx Zynq ZC706. In our design, the COTS multi-core (ARM Cortex-A9 dual-core) is integrated using a high-speed interconnect with an arbiter module and the Memory Interface Generator (MIG) Xilinx memory controller on the FPGA. Through experiments we show that the proposed architecture has a precisely predictable worst-case memory access latency when compared to a COTS-only design.