Youngsam Shin, S. Hwang, J. D. Lee, Won-Jong Lee, Soojung Ryu
{"title":"Latency tolerance techniques for real-time ray tracing on mobile computing platform","authors":"Youngsam Shin, S. Hwang, J. D. Lee, Won-Jong Lee, Soojung Ryu","doi":"10.1145/2818427.2818437","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an efficient ray scheduling algorithm and non-block cache architecture to hiding main-memory access latency targeting real-time ray tracing on mobile device. We first analyze on the impact of a memory latency by analyzing the memory access patterns for a ray tracing system and present a novel ray scheduling method using a non-block pipeline feedback and cache architecture for ray tracing hardware engine. To achieve more cache efficiency, we also present a memory-efficient encoding scheme for the scene geometry. For an evaluation of our approach, we implemented a prototype ray tracing architecture using our approach on an FPGA platform. Our experimental results indicate that our approach shows that an average performance conservation of 85% and an average performance improves of 2.4 times.","PeriodicalId":328982,"journal":{"name":"SIGGRAPH Asia 2015 Mobile Graphics and Interactive Applications","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGGRAPH Asia 2015 Mobile Graphics and Interactive Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2818427.2818437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we propose an efficient ray scheduling algorithm and non-block cache architecture to hiding main-memory access latency targeting real-time ray tracing on mobile device. We first analyze on the impact of a memory latency by analyzing the memory access patterns for a ray tracing system and present a novel ray scheduling method using a non-block pipeline feedback and cache architecture for ray tracing hardware engine. To achieve more cache efficiency, we also present a memory-efficient encoding scheme for the scene geometry. For an evaluation of our approach, we implemented a prototype ray tracing architecture using our approach on an FPGA platform. Our experimental results indicate that our approach shows that an average performance conservation of 85% and an average performance improves of 2.4 times.