{"title":"在线低功耗大规模实时决策","authors":"Thomas Pontoizeau, Éric Jacopin","doi":"10.1109/AICAS57966.2023.10168570","DOIUrl":null,"url":null,"abstract":"In this paper, we set up a simulation under Unreal Engine 5 that communicates with an Optical Processing Unit (OPU) in order to make real-time decisions on the current state of the actors of the simulation. Our experiment shows that the OPU is able to manage at least 50 000 actors in real-time and is able to make decisions depending of the current state of the actors.","PeriodicalId":296649,"journal":{"name":"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Online low-power large-scale real-time decision-making all at once\",\"authors\":\"Thomas Pontoizeau, Éric Jacopin\",\"doi\":\"10.1109/AICAS57966.2023.10168570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we set up a simulation under Unreal Engine 5 that communicates with an Optical Processing Unit (OPU) in order to make real-time decisions on the current state of the actors of the simulation. Our experiment shows that the OPU is able to manage at least 50 000 actors in real-time and is able to make decisions depending of the current state of the actors.\",\"PeriodicalId\":296649,\"journal\":{\"name\":\"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AICAS57966.2023.10168570\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICAS57966.2023.10168570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online low-power large-scale real-time decision-making all at once
In this paper, we set up a simulation under Unreal Engine 5 that communicates with an Optical Processing Unit (OPU) in order to make real-time decisions on the current state of the actors of the simulation. Our experiment shows that the OPU is able to manage at least 50 000 actors in real-time and is able to make decisions depending of the current state of the actors.