{"title":"HexCell: a Hexagonal Cell for Evolvable Systolic Arrays on FPGAs: (Abstract Only)","authors":"F. Hussein, Luka Daoud, N. Rafla","doi":"10.1145/3174243.3174988","DOIUrl":null,"url":null,"abstract":"This paper presents a novel cell architecture for evolvable systolic arrays. HexCell is a tile-able processing element with a hexagonal shape that can be implemented and dynamically reconfigured on field-programmable gate arrays (FPGAs). The cell contains a functional unit, three input ports, and three output ports. It supports two concurrent configuration schemes: dynamic partial reconfiguration (DPR), where the functional unit is partially reconfigured at run time, and virtual reconfiguration circuit (VRC), where the cell output port bypasses one of the input data or selects the functional unit output. Hence, HexCell combines the merits of DPR and VRC including resource-awareness, reconfiguration speed and routing flexibility. In addition, the cell structure supports pipelining and data synchronization for achieving high throughput for data-intensive applications like image processing. A HexCell is represented by a binary string (chromosome) that encodes the cell's function and the output selections. Our developed evolvable HexCell array supports more inputs and outputs, a variety of possible datapaths, and has faster reconfiguration, compared to the state-of-the-art systolic array while maintaining the same resource utilization. Moreover, by using the same genetic algorithm on the two systolic arrays, results show that the HexCell array has higher throughput and can evolve faster than state-of-the-art array.","PeriodicalId":164936,"journal":{"name":"Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3174243.3174988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper presents a novel cell architecture for evolvable systolic arrays. HexCell is a tile-able processing element with a hexagonal shape that can be implemented and dynamically reconfigured on field-programmable gate arrays (FPGAs). The cell contains a functional unit, three input ports, and three output ports. It supports two concurrent configuration schemes: dynamic partial reconfiguration (DPR), where the functional unit is partially reconfigured at run time, and virtual reconfiguration circuit (VRC), where the cell output port bypasses one of the input data or selects the functional unit output. Hence, HexCell combines the merits of DPR and VRC including resource-awareness, reconfiguration speed and routing flexibility. In addition, the cell structure supports pipelining and data synchronization for achieving high throughput for data-intensive applications like image processing. A HexCell is represented by a binary string (chromosome) that encodes the cell's function and the output selections. Our developed evolvable HexCell array supports more inputs and outputs, a variety of possible datapaths, and has faster reconfiguration, compared to the state-of-the-art systolic array while maintaining the same resource utilization. Moreover, by using the same genetic algorithm on the two systolic arrays, results show that the HexCell array has higher throughput and can evolve faster than state-of-the-art array.