{"title":"单FPGA上的三维NoC仿真模型","authors":"Jonathan D'Hoore, Poona Bahrebar, D. Stroobandt","doi":"10.1145/3414622.3431910","DOIUrl":null,"url":null,"abstract":"Networks-on-Chip (NoCs) have emerged as a promising solution for the communication crisis in large and highly interconnected Systems-on-Chip. To allow investigating path finding solutions for N oC architectures and provide useful insights into the network design aspects, the performance of the designed N oC needs to be evaluated through simulations/emulations. Although software simulators are flexible and can deliver very accurate results, the simulation time is likely to be prohibitive for large-scale designs. Field Programmable Gate Arrays (FPGAs) can speed up the simulation process significantly, while maintaining the same level of accuracy. However, the FPGA-based NoC emulators proposed so far are mostly limited to 2D NoCs. In this paper, we extend the 2D FNoC emulation model to 3D using a single FPGA. The proposed model takes advantage of 3D Time-Division-Multiplexing (TDM) and a clustering method to be able to emulate large (up to 10,648 nodes) N oCs. In order to acquire an estimate of the resource usage on FPGA, a VHDL implementation is developed for certain sub-modules of the emulator. The resulting estimations are used to determine the optimal clustering size. Furthermore, the accuracy of the proposed model is verified against the well-known BookSim simulator.","PeriodicalId":347769,"journal":{"name":"2020 ACM/IEEE International Workshop on System Level Interconnect Prediction (SLIP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"3D NoC Emulation Model on a Single FPGA\",\"authors\":\"Jonathan D'Hoore, Poona Bahrebar, D. Stroobandt\",\"doi\":\"10.1145/3414622.3431910\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Networks-on-Chip (NoCs) have emerged as a promising solution for the communication crisis in large and highly interconnected Systems-on-Chip. To allow investigating path finding solutions for N oC architectures and provide useful insights into the network design aspects, the performance of the designed N oC needs to be evaluated through simulations/emulations. Although software simulators are flexible and can deliver very accurate results, the simulation time is likely to be prohibitive for large-scale designs. Field Programmable Gate Arrays (FPGAs) can speed up the simulation process significantly, while maintaining the same level of accuracy. However, the FPGA-based NoC emulators proposed so far are mostly limited to 2D NoCs. In this paper, we extend the 2D FNoC emulation model to 3D using a single FPGA. The proposed model takes advantage of 3D Time-Division-Multiplexing (TDM) and a clustering method to be able to emulate large (up to 10,648 nodes) N oCs. In order to acquire an estimate of the resource usage on FPGA, a VHDL implementation is developed for certain sub-modules of the emulator. The resulting estimations are used to determine the optimal clustering size. Furthermore, the accuracy of the proposed model is verified against the well-known BookSim simulator.\",\"PeriodicalId\":347769,\"journal\":{\"name\":\"2020 ACM/IEEE International Workshop on System Level Interconnect Prediction (SLIP)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 ACM/IEEE International Workshop on System Level Interconnect Prediction (SLIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3414622.3431910\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 ACM/IEEE International Workshop on System Level Interconnect Prediction (SLIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3414622.3431910","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Networks-on-Chip (NoCs) have emerged as a promising solution for the communication crisis in large and highly interconnected Systems-on-Chip. To allow investigating path finding solutions for N oC architectures and provide useful insights into the network design aspects, the performance of the designed N oC needs to be evaluated through simulations/emulations. Although software simulators are flexible and can deliver very accurate results, the simulation time is likely to be prohibitive for large-scale designs. Field Programmable Gate Arrays (FPGAs) can speed up the simulation process significantly, while maintaining the same level of accuracy. However, the FPGA-based NoC emulators proposed so far are mostly limited to 2D NoCs. In this paper, we extend the 2D FNoC emulation model to 3D using a single FPGA. The proposed model takes advantage of 3D Time-Division-Multiplexing (TDM) and a clustering method to be able to emulate large (up to 10,648 nodes) N oCs. In order to acquire an estimate of the resource usage on FPGA, a VHDL implementation is developed for certain sub-modules of the emulator. The resulting estimations are used to determine the optimal clustering size. Furthermore, the accuracy of the proposed model is verified against the well-known BookSim simulator.