For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Study on Knowledge Services Based on Multi-Media Data Mining
p.1794
The Effect of SVC on Gansu Hexi Grid Static Load Margin by BPA Modeling and Simulation
p.1798
A Web Information Extraction Method Based on HTML Parser
p.1802
The Processing and Analyzing of Non-Structured Data in Digital Investigation
p.1807
CUDA Parallel Computing Combined with OpenGL Interoperate
p.1812
A Briefest Feature Subset Selection Algorithm Based on Preference Attribute
p.1816
The Exponent Set of a Class of Two-Colored Digraphs with One Common Vertex
p.1823
Comparison between Normalized Databases Implemented with Different Database Systems
p.1827
An Algorithm for Global Multi-Resolution Terrain Simulation Based on the Method of Hash Table
p.1833

CUDA Parallel Computing Combined with OpenGL Interoperate

Article Preview

Abstract:

Through CUDA-C to make parallel operation for generating small balls’ datas and render for balls combined with OpenGL interoperating. Compared with the experiment which generates balls only by OpenGL, the experimental results show that the CUDA has considerable advantages in parallel operation and the speed increased 6 to 7 times than simply using OpenGL.

You might also be interested in these eBooks
Advanced Technologies in Manufacturing, Engineering and Materials View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 774-776)

Pages:

1812-1815

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.774-776.1812

Citation:

Cite this paper

Online since:

September 2013

Authors:

Zhao Hui Chen, Ya Yu Huang, Jin Wen Zhang

Keywords:

CUDA, Graphic Processing Unit (GPU), OpenGL, Shared Data Buffer

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] NVIDIACorporation. CUDAProgramming Guide 0. 8 [Z] (2006).

Google Scholar

[2] Crain Dennis. Windows NT OpenGL: Getting Started, April 1994 (MSDN Library, Technical Articles).

Google Scholar

[3] Neider Jackie, Tome Davis and Mason Woo. OpenGL Programming Guide: The Office Guide to Learning OpenGL, Release1, MA: Addison-wesley, (1993).

Google Scholar

[4] Sud A, Otaduy MA, Manocha D. DiFi: Fast 3D distance field computation using graphics hardware. In: Proc. of the Eurographics, (2004).

DOI: 10.1111/j.1467-8659.2004.00787.x

Google Scholar

[5] NVIDIA Corporation, NVIDIA CUDA Architecture 1. 1, April (2009).

Google Scholar

[6] NVIDIA Corporation, CUDA Programming Guide 2. 0, (2008).

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.