By Topic

Scalable isosurface visualization of massive datasets on COTS clusters

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xiaoyu Zhang ; Dept. of Comput. Sci., Texas Univ., Austin, TX, USA ; Bajaj, C. ; Blanke, W.

Our scalable isosurface visualization solution on a commodity off-the-shelf (COTS) cluster is an end-to-end parallel and progressive platform, from the initial data access to the final display. We focus on the back end scalability by introducing a fully parallel and out-of-core isosurface extraction algorithm. It partitions the volume data according to its workload spectrum for load balancing and creates an I/O-optimal external interval tree to minimize the number of I/O operations of loading large data from disk. It achieves scalability by using both parallel processing and parallel disks. Interactive browsing of extracted isosurfaces is made possible by using parallel isosurface extraction and rendering in conjunction with a specialized piece of image compositing hardware called the Metabuffer. We also describe an isosurface compression scheme that is efficient for isosurface processing.

Published in:

Parallel and Large-Data Visualization and Graphics, 2001. Proceedings. IEEE 2001 Symposium on

Date of Conference:

23-23 Oct. 2001