OBJECT ORIENTED FRAMEWORK FOR REAL-TIME IMAGE PROCESSING ON GPU

被引：4

作者：

Seiller, Nicolas ^{[1
]}

Singhal, Nitin ^{[2
]}

Park, In Kyu ^{[1
]}

机构：

[1] Inha Univ, Sch Informat & Commun Engn, Inchon 402751, South Korea

[2] Samsung Electronics CO LTD, DMC R&D Ctr, Suwon 443742, South Korea

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年

关键词：

Object oriented framework; GPGPU; class hierarchy; GLSL; CUDA;

D O I：

10.1109/ICIP.2010.5651682

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we present a framework for efficiently integrating programming resources of both GPU and CPU. We introduce an object oriented framework for GPGPU-based image processing. We illustrate a set of classes exploiting the design and programming advantages of an object oriented language, such as code reusability / extensibility, flexibility, information hiding, and complexity hiding. This class structure is supplemented with shader (GLSL) and kernel (CUDA) programming to facilitate full functionality. We demonstrate the potential of our approach with application scenarios and discuss the framework's performance in terms of programming effort, execution overhead, and speedup factor achieved over CPU.

引用

页码：4477 / 4480

页数：4

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