{"title":"地址事件编码的分层令牌环","authors":"P. Purohit, R. Manohar","doi":"10.1109/ASYNC48570.2021.00010","DOIUrl":null,"url":null,"abstract":"Address-event representation (AER) is an event-driven, neuromorphic inter-chip encoding and communication protocol originally proposed to communicate location and timing information of sparse neural events between neuromorphic chips. The protocol is widely used in bio-inspired, event-based vision sensors to communicate visual events. The same approach has been explored for scientific imaging applications, but the performance of existing encoding schemes degrades in the presence of large sensor arrays and a wide range of event rates. In this paper, we introduce a new AER encoding scheme based on hierarchical token-rings (HTR), which blends event-based and scanning approaches. We show that HTR offers significant improvement in latency, throughput, and power compared to existing tree-based approaches in the context of scientific imaging applications.","PeriodicalId":314811,"journal":{"name":"2021 27th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Hierarchical Token Rings for Address-Event Encoding\",\"authors\":\"P. Purohit, R. Manohar\",\"doi\":\"10.1109/ASYNC48570.2021.00010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Address-event representation (AER) is an event-driven, neuromorphic inter-chip encoding and communication protocol originally proposed to communicate location and timing information of sparse neural events between neuromorphic chips. The protocol is widely used in bio-inspired, event-based vision sensors to communicate visual events. The same approach has been explored for scientific imaging applications, but the performance of existing encoding schemes degrades in the presence of large sensor arrays and a wide range of event rates. In this paper, we introduce a new AER encoding scheme based on hierarchical token-rings (HTR), which blends event-based and scanning approaches. We show that HTR offers significant improvement in latency, throughput, and power compared to existing tree-based approaches in the context of scientific imaging applications.\",\"PeriodicalId\":314811,\"journal\":{\"name\":\"2021 27th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 27th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASYNC48570.2021.00010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 27th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASYNC48570.2021.00010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hierarchical Token Rings for Address-Event Encoding
Address-event representation (AER) is an event-driven, neuromorphic inter-chip encoding and communication protocol originally proposed to communicate location and timing information of sparse neural events between neuromorphic chips. The protocol is widely used in bio-inspired, event-based vision sensors to communicate visual events. The same approach has been explored for scientific imaging applications, but the performance of existing encoding schemes degrades in the presence of large sensor arrays and a wide range of event rates. In this paper, we introduce a new AER encoding scheme based on hierarchical token-rings (HTR), which blends event-based and scanning approaches. We show that HTR offers significant improvement in latency, throughput, and power compared to existing tree-based approaches in the context of scientific imaging applications.