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Glimmer: Multilevel MDS on the GPU
March/April 2009 (vol. 15 no. 2)
pp. 249-261
ASCII Text
x 
 
Stephen Ingram, Tamara Munzner, Marc Olano, "Glimmer: Multilevel MDS on the GPU," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 2, pp. 249-261, March/April, 2009.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2008.85,
author = {Stephen Ingram and Tamara Munzner and Marc Olano},
title = {Glimmer: Multilevel MDS on the GPU},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {15},
number = {2},
issn = {1077-2626},
year = {2009},
pages = {249-261},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2008.85},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - Glimmer: Multilevel MDS on the GPU
IS - 2
SN - 1077-2626
SP249
EP261
EPD - 249-261
A1 - Stephen Ingram,
A1 - Tamara Munzner,
A1 - Marc Olano,
PY - 2009
KW - Multivariate visualization
KW - Information visualization
VL - 15
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
Stephen Ingram, University of British Columbia, Vancouver
Tamara Munzner, University of British Columbia, Vancouver
Marc Olano, University of Maryland Baltimore County, Baltimore
We present Glimmer, a new multilevel algorithm for multidimensional scaling designed to exploit modern graphics processing unit (GPU) hardware. We also present GPU-SF, a parallel, force-based subsystem used by Glimmer. Glimmer organizes input into a hierarchy of levels and recursively applies GPU-SF to combine and refine the levels. The multilevel nature of the algorithm makes local minima less likely while the GPU parallelism improves speed of computation. We propose a robust termination condition for GPU-SF based on a filtered approximation of the normalized stress function. We demonstrate the benefits of Glimmer in terms of speed, normalized stress, and visual quality against several previous algorithms for a range of synthetic and real benchmark datasets. We also show that the performance of Glimmer on GPUs is substantially faster than a CPU implementation of the same algorithm.

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Index Terms:
Multivariate visualization, Information visualization
Citation:
Stephen Ingram, Tamara Munzner, Marc Olano, "Glimmer: Multilevel MDS on the GPU," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 2, pp. 249-261, March-April 2009, doi:10.1109/TVCG.2008.85
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