GPU-Based Image Processing Use Cases: A High-Level Approach

被引：0

作者：

Wieser, Volkmar ^{[1
]}

Grelck, Clemens ^{[2
]}

Schoener, Holger ^{[1
]}

Haslinger, Peter ^{[1
]}

Bosa, Karoly ^{[3
]}

Moser, Bernhard ^{[1
]}

机构：

[1] Software Competence Ctr Hagenberg, Hagenberg, Austria

[2] Univ Amsterdam, Amsterdam, Netherlands

[3] Johannes Kepler Univ Linz, Symbol Computat Res Inst, A-4040 Linz, Austria

来源：

APPLICATIONS, TOOLS AND TECHNIQUES ON THE ROAD TO EXASCALE COMPUTING | 2012年 / 22卷

关键词：

Hardware Virtualization; Functional Programming; Software Engineering Productivity; SUPPORT; SAC;

D O I：

10.3233/978-1-61499-041-3-199

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper addresses the gap between envisioned hardware-virtualized techniques for GPU programming and a conventional approach from the point of view of an application engineer taking software engineering aspects like maintainability, understandability and productivity, and resulting achieved gain in performance and scalability into account. This gap is discussed on the basis of use cases from the field of image processing, and illustrated by means of performance benchmarks as well as evaluations regarding software engineering productivity.

引用

页码：199 / 206

页数：8

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