{"title":"A low power architecture for AER event-processing microcontroller","authors":"S. Aiassa, P. Ros, G. Masera, M. Martina","doi":"10.1109/BIOCAS.2017.8325170","DOIUrl":null,"url":null,"abstract":"This paper presents a custom MSP430™-compatible microcontroller, specifically tailored for quasi-digital processing Address Event Representation (AER) events. Main target applications are fully reprogrammable sensory systems where events pre-processing has to be carried out by means of easily-tunable elaboration algorithms; a microcontroller-based design could provide the right trade-off between flexibility and performance. Key features are good time resolution, high reactivity, on-demand only processing and power consumption reduction. The proposed architecture has been analyzed and compared with an open source MSP430TM-compliant microcontroller (openMSP430) in terms of performance and power consumption. Accurate and wide cases-spectrum simulations (targeting ASIC technology) show an average power consumption reduction ranging from 50 % (same operating frequency) up to 79 % (same maximum event rate); equivalently, with the same power budget, an average improvement of either resolution of 84 % or maximum event rate of 1020 % is obtained.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"286 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2017.8325170","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
This paper presents a custom MSP430™-compatible microcontroller, specifically tailored for quasi-digital processing Address Event Representation (AER) events. Main target applications are fully reprogrammable sensory systems where events pre-processing has to be carried out by means of easily-tunable elaboration algorithms; a microcontroller-based design could provide the right trade-off between flexibility and performance. Key features are good time resolution, high reactivity, on-demand only processing and power consumption reduction. The proposed architecture has been analyzed and compared with an open source MSP430TM-compliant microcontroller (openMSP430) in terms of performance and power consumption. Accurate and wide cases-spectrum simulations (targeting ASIC technology) show an average power consumption reduction ranging from 50 % (same operating frequency) up to 79 % (same maximum event rate); equivalently, with the same power budget, an average improvement of either resolution of 84 % or maximum event rate of 1020 % is obtained.