B. Goossens, Jonas De Vylder, S. Donné, W. Philips
{"title":"Quasar -一个新的编程框架,用于GPU和CPU上的实时图像/视频处理","authors":"B. Goossens, Jonas De Vylder, S. Donné, W. Philips","doi":"10.1145/2789116.2802654","DOIUrl":null,"url":null,"abstract":"In this demonstration, we present a new programming framework, Quasar, for heterogeneous programming on CPU and single/multi-GPU. Our programming framework consists of a high-level language that is aimed at relieving the programmer from hardware-related implementation issues that commonly occur in CPU/GPU programming, allowing the programmer to focus on the specification, the design, testing and the improvement of the algorithms. We will demonstrate a real-time multi-camera processing application using our integrated development environment (IDE). The IDE offers various image/video processing-related debugging functions and performance profiling features.","PeriodicalId":113163,"journal":{"name":"Proceedings of the 9th International Conference on Distributed Smart Cameras","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Quasar - a new programming framework for real-time image/video processing on GPU and CPU\",\"authors\":\"B. Goossens, Jonas De Vylder, S. Donné, W. Philips\",\"doi\":\"10.1145/2789116.2802654\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this demonstration, we present a new programming framework, Quasar, for heterogeneous programming on CPU and single/multi-GPU. Our programming framework consists of a high-level language that is aimed at relieving the programmer from hardware-related implementation issues that commonly occur in CPU/GPU programming, allowing the programmer to focus on the specification, the design, testing and the improvement of the algorithms. We will demonstrate a real-time multi-camera processing application using our integrated development environment (IDE). The IDE offers various image/video processing-related debugging functions and performance profiling features.\",\"PeriodicalId\":113163,\"journal\":{\"name\":\"Proceedings of the 9th International Conference on Distributed Smart Cameras\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 9th International Conference on Distributed Smart Cameras\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2789116.2802654\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th International Conference on Distributed Smart Cameras","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2789116.2802654","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quasar - a new programming framework for real-time image/video processing on GPU and CPU
In this demonstration, we present a new programming framework, Quasar, for heterogeneous programming on CPU and single/multi-GPU. Our programming framework consists of a high-level language that is aimed at relieving the programmer from hardware-related implementation issues that commonly occur in CPU/GPU programming, allowing the programmer to focus on the specification, the design, testing and the improvement of the algorithms. We will demonstrate a real-time multi-camera processing application using our integrated development environment (IDE). The IDE offers various image/video processing-related debugging functions and performance profiling features.