{"title":"缓解帧时间变化的实时预测驱动动力学仿真","authors":"Mackinnon Buck, C. Eckhardt","doi":"10.1145/3476124.3488633","DOIUrl":null,"url":null,"abstract":"This work introduces a prediction-driven real-time dynamics method that uses a graph-based state buffer to minimize the cost of mispredictions. Our technique reduces the average time needed for dynamics computation on the main thread by running the solver pipeline on a separate thread, enabling interactive multimedia applications to increase the computational budget for graphics at no cost perceptible to the end user.","PeriodicalId":199099,"journal":{"name":"SIGGRAPH Asia 2021 Posters","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-Time Prediction-Driven Dynamics Simulation to Mitigate Frame Time Variation\",\"authors\":\"Mackinnon Buck, C. Eckhardt\",\"doi\":\"10.1145/3476124.3488633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work introduces a prediction-driven real-time dynamics method that uses a graph-based state buffer to minimize the cost of mispredictions. Our technique reduces the average time needed for dynamics computation on the main thread by running the solver pipeline on a separate thread, enabling interactive multimedia applications to increase the computational budget for graphics at no cost perceptible to the end user.\",\"PeriodicalId\":199099,\"journal\":{\"name\":\"SIGGRAPH Asia 2021 Posters\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIGGRAPH Asia 2021 Posters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3476124.3488633\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGGRAPH Asia 2021 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3476124.3488633","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-Time Prediction-Driven Dynamics Simulation to Mitigate Frame Time Variation
This work introduces a prediction-driven real-time dynamics method that uses a graph-based state buffer to minimize the cost of mispredictions. Our technique reduces the average time needed for dynamics computation on the main thread by running the solver pipeline on a separate thread, enabling interactive multimedia applications to increase the computational budget for graphics at no cost perceptible to the end user.