Erwan Leria, Markku Makitalo, Julius Ikkala, Pekka Jääskeläinen
{"title":"Dynamic load balancing for real-time multiview path tracing on multi-GPU architectures","authors":"Erwan Leria, Markku Makitalo, Julius Ikkala, Pekka Jääskeläinen","doi":"10.1016/j.vrih.2022.08.013","DOIUrl":null,"url":null,"abstract":"<div><div>Stereoscopic and multiview rendering are used for virtual reality and the synthetic generation of light fields from three-dimensional scenes. Because rendering multiple views using ray tracing techniques is computationally expensive, the utilization of multiprocessor machines is necessary to achieve real-time frame rates. In this study, we propose a dynamic load-balancing algorithm for real-time multiview path tracing on multi-compute device platforms. The proposed algorithm was adapted to heterogeneous hardware combinations and dynamic scenes in real time. We show that on a heterogeneous dual-GPU platform, our implementation reduces the rendering time by an average of approximately 30%–50% compared with that of a uniform workload distribution, depending on the scene and number of views.</div></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"7 4","pages":"Pages 393-405"},"PeriodicalIF":0.0000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virtual Reality Intelligent Hardware","FirstCategoryId":"1093","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2096579622000882","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0
Abstract
Stereoscopic and multiview rendering are used for virtual reality and the synthetic generation of light fields from three-dimensional scenes. Because rendering multiple views using ray tracing techniques is computationally expensive, the utilization of multiprocessor machines is necessary to achieve real-time frame rates. In this study, we propose a dynamic load-balancing algorithm for real-time multiview path tracing on multi-compute device platforms. The proposed algorithm was adapted to heterogeneous hardware combinations and dynamic scenes in real time. We show that on a heterogeneous dual-GPU platform, our implementation reduces the rendering time by an average of approximately 30%–50% compared with that of a uniform workload distribution, depending on the scene and number of views.