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

共 50 条

[1] GPU-Based Tracking Algorithms for the ATLAS High-Level Trigger
Emeliyanov, D.
Howard, J.
[J]. INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS 2012 (CHEP2012), PTS 1-6, 2012, 396
[2] GPU-based Biomedical Image Processing
Berezsky, Oleh
Pitsun, Oleh
Dubchak, Lesia
Liashchynskyi, Petro
Liashchynskyi, Pavlo
[J]. 2018 XIVTH INTERNATIONAL CONFERENCE ON PERSPECTIVE TECHNOLOGIES AND METHODS IN MEMS DESIGN (MEMSTECH), 2018, : 96 - 99
[3] Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing
Gonzalez, Carlos
Sanchez, Sergio
Paz, Abel
Resano, Javier
Mozos, Daniel
Plaza, Antonio
[J]. INTEGRATION-THE VLSI JOURNAL, 2013, 46 (02) : 89 - 103
[4] HDR IMAGE RERENDERING USING GPU-BASED PROCESSING
Li, Ping
Sun, Hanqiu
Shen, Jianbing
Huang, Chen
[J]. INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2012, 12 (01)
[5] Generating GPU Code from a High-Level Representation for Image Processing Kernels
Membarth, Richard
Lokhmotov, Anton
Teich, Juergen
[J]. EURO-PAR 2011: PARALLEL PROCESSING WORKSHOPS, PT I, 2012, 7155 : 270 - 280
[6] GPU-Based Simulation of Cellular Neural Networks for Image Processing
Dolan, Ryanne
DeSouza, Guilherme
[J]. IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, 2009, : 2712 - 2717
[7] A GPU-Based Convolutional Neural Network Approach for Image Classification
Cengil, Emine
Cinar, Ahmet
Guler, Zafer
[J]. 2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP), 2017,
[8] GPU-based multigrid: Real-time performance in high resolution nonlinear image processing
Grossauer, Harald
Thoman, Peter
[J]. COMPUTER VISION SYSTEMS, PROCEEDINGS, 2008, 5008 : 141 - 150
[9] Performance Analysis of GPU-based SAR and Interferometric SAR image processing
Peternier, Achille
Defilippi, Marco
Pasquali, Paolo
Cantone, Alessio
Krause, Rolf
Vitulli, Raffaele
Ogushi, Fumitaka
Meroni, Alberto
[J]. CONFERENCE PROCEEDINGS OF 2013 ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), 2013, : 277 - 280
[10] High-Level Hessian-Based Image Processing with the Frangi Neuron
Hachaj, Tomasz
Piekarczyk, Marcin
[J]. ELECTRONICS, 2023, 12 (19)

← 1 2 3 4 5 →