{"title":"Enhancing Butterfly Fat Tree NoCs for FPGAs with Lightweight Flow Control","authors":"G. Malik, Nachiket Kapre","doi":"10.1145/3289602.3294002","DOIUrl":null,"url":null,"abstract":"FPGA overlay networks-on-chip (NoCs) based on Butterfly Fat Tree (BFT) topology and lightweight flow control can outperform state-of-the-art FPGA NoCs, such as Hoplite and others, on metrics such as throughput, latency, cost and power efficiency, and features such as in-order delivery and bounded packet delivery times. On one hand, lightweight FPGA NoCs built on the principle of bufferless deflection routing, such as Hoplite, can deliver low-LUT-cost implementations but sacrifice crucial features such as in-order delivery, livelock freedom, and bounds on delivery times. On the other hand, capable conventional NoCs like CONNECT provide these features but are significantly more expensive in LUT cost. Butterfly Fat Trees with lightweight flow control can deliver these features at medium cost while providing bandwidth configuration flexibility to the developer. We design FPGA-friendly routers with (1) latency-insensitive interfaces, coupled with (2) deterministic routing policy, and (3) round-robin scheduling at NoC ports to develop switches that take 311-375 LUTs/router. We evaluate our NoC under various conditions including synthetic and real-world workloads to deliver resource-proportional throughput and latency wins over competing NoCs, while significantly improving dynamic power consumption when compared to deflection-routed NoCs. We also explore the bandwidth customizability of the BFT organization to identify best NoC configurations for resource-constrained and application-requirement constrained scenarios.","PeriodicalId":116955,"journal":{"name":"2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3289602.3294002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
FPGA overlay networks-on-chip (NoCs) based on Butterfly Fat Tree (BFT) topology and lightweight flow control can outperform state-of-the-art FPGA NoCs, such as Hoplite and others, on metrics such as throughput, latency, cost and power efficiency, and features such as in-order delivery and bounded packet delivery times. On one hand, lightweight FPGA NoCs built on the principle of bufferless deflection routing, such as Hoplite, can deliver low-LUT-cost implementations but sacrifice crucial features such as in-order delivery, livelock freedom, and bounds on delivery times. On the other hand, capable conventional NoCs like CONNECT provide these features but are significantly more expensive in LUT cost. Butterfly Fat Trees with lightweight flow control can deliver these features at medium cost while providing bandwidth configuration flexibility to the developer. We design FPGA-friendly routers with (1) latency-insensitive interfaces, coupled with (2) deterministic routing policy, and (3) round-robin scheduling at NoC ports to develop switches that take 311-375 LUTs/router. We evaluate our NoC under various conditions including synthetic and real-world workloads to deliver resource-proportional throughput and latency wins over competing NoCs, while significantly improving dynamic power consumption when compared to deflection-routed NoCs. We also explore the bandwidth customizability of the BFT organization to identify best NoC configurations for resource-constrained and application-requirement constrained scenarios.