K. Haruki, Ryuji Sakai, M. Shimbayashi, Y. Tanaka, T. Suzuki
{"title":"在笔记本电脑GPU上实现2D-3D转换的全GPGPU","authors":"K. Haruki, Ryuji Sakai, M. Shimbayashi, Y. Tanaka, T. Suzuki","doi":"10.1109/GCCE.2012.6379665","DOIUrl":null,"url":null,"abstract":"This paper describes the General-Purpose computing on Graphics Processing Unit (GPGPU) optimized implementation of 2D-3D Conversion. 2D-3D Conversion is large-scale image processing and consists of 170 kernels. Those kernels, which are tasks performed by GPU, contain various algorithms. 30fps real-time processing of 2D-3D Conversion conventionally requires special hardware since it is computationally expensive. To clarify the feasibility of real-time processing by software, we did full GPGPU implementation of all image processing of 2D-3D Conversion on a laptop PC.","PeriodicalId":299732,"journal":{"name":"The 1st IEEE Global Conference on Consumer Electronics 2012","volume":"240 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Full GPGPU implementation of 2D-3D conversion on laptop GPU\",\"authors\":\"K. Haruki, Ryuji Sakai, M. Shimbayashi, Y. Tanaka, T. Suzuki\",\"doi\":\"10.1109/GCCE.2012.6379665\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the General-Purpose computing on Graphics Processing Unit (GPGPU) optimized implementation of 2D-3D Conversion. 2D-3D Conversion is large-scale image processing and consists of 170 kernels. Those kernels, which are tasks performed by GPU, contain various algorithms. 30fps real-time processing of 2D-3D Conversion conventionally requires special hardware since it is computationally expensive. To clarify the feasibility of real-time processing by software, we did full GPGPU implementation of all image processing of 2D-3D Conversion on a laptop PC.\",\"PeriodicalId\":299732,\"journal\":{\"name\":\"The 1st IEEE Global Conference on Consumer Electronics 2012\",\"volume\":\"240 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 1st IEEE Global Conference on Consumer Electronics 2012\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2012.6379665\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 1st IEEE Global Conference on Consumer Electronics 2012","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2012.6379665","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Full GPGPU implementation of 2D-3D conversion on laptop GPU
This paper describes the General-Purpose computing on Graphics Processing Unit (GPGPU) optimized implementation of 2D-3D Conversion. 2D-3D Conversion is large-scale image processing and consists of 170 kernels. Those kernels, which are tasks performed by GPU, contain various algorithms. 30fps real-time processing of 2D-3D Conversion conventionally requires special hardware since it is computationally expensive. To clarify the feasibility of real-time processing by software, we did full GPGPU implementation of all image processing of 2D-3D Conversion on a laptop PC.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
