Parallel computing of texture-optimisation-based flow visualisation on CUDA
by Ying Tang; Zhan Zhou; Xiaoying Shi; Jing Fan
International Journal of High Performance Computing and Networking (IJHPCN), Vol. 9, No. 3, 2016

Abstract: Flow visualisation effectively visualises flow fields with moving textures by vividly capturing the flow field properties through varying texture appearances. Texture-optimisation-based (TOB) flow visualisation can produce excellent visualisation results of flow fields. However, TOB flow visualisation is a slow process with a huge amount of time-consuming computation of nearest neighbour searching and thus is difficult to be applied to dynamic flow field visualisation. In this paper, we propose an optimal acceleration scheme for speed and quality for searching the approximate nearest neighbour by comparing and analysing three techniques to accelerate the computation of the nearest neighbour. We achieve the parallel computation of TOB flow visualisation algorithm based on CUDA implementation on graphics processing unit (GPU). Most time-consuming computations are performed in parallel on GPU, which yields high performance. Experimental results show that our TOB flow visualisation generates results with fast synthesis speed and high synthesis quality. This method can visualise not only static flow fields but also time-varying or dynamic flow fields.

Online publication date: Sat, 30-Apr-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of High Performance Computing and Networking (IJHPCN):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com