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July-Aug. 2012 (vol. 32 no. 4)
pp. 23-25
ASCII Text
x 
 
Pak Chung Wong, Han-Wei Shen, Valerio Pascucci, "Extreme-Scale Visual Analytics," IEEE Computer Graphics and Applications, vol. 32, no. 4, pp. 23-25, July-Aug., 2012.
 
 
BibTex
x
 
@article{ 10.1109/MCG.2012.73,
author = {Pak Chung Wong and Han-Wei Shen and Valerio Pascucci},
title = {Extreme-Scale Visual Analytics},
journal ={IEEE Computer Graphics and Applications},
volume = {32},
number = {4},
issn = {0272-1716},
year = {2012},
pages = {23-25},
doi = {http://doi.ieeecomputersociety.org/10.1109/MCG.2012.73},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Computer Graphics and Applications
TI - Extreme-Scale Visual Analytics
IS - 4
SN - 0272-1716
SP23
EP25
EPD - 23-25
A1 - Pak Chung Wong,
A1 - Han-Wei Shen,
A1 - Valerio Pascucci,
PY - 2012
KW - Special issues and sections
KW - Visual analytics
KW - Large-scale systems
KW - turbulent flow
KW - Special issues and sections
KW - Visual analytics
KW - Large-scale systems
KW - flow fields
KW - extreme-scale visual analytics
KW - visual analytics
KW - computer graphics
KW - Scientific Discovery through Advanced Computing
KW - SciDAC
KW - graph algebra
VL - 32
JA - IEEE Computer Graphics and Applications
ER -
 
Pak Chung Wong, Pacific Northwest National Laboratory
Han-Wei Shen, Ohio State University
Valerio Pascucci, University of Utah
Extreme-scale visual analytics (VA) is about applying VA to extreme-scale data. The articles in this special issue examine advances related to extreme-scale VA problems, their analytical and computational challenges, and their real-world applications.

1. P.C. Wong and J. Thomas, "Visual Analytics," IEEE Computer Graphics and Applications, vol. 24, no. 5, 2004, pp. 20–21.
2. J.J. Thomas and K.A. Cook eds., Illuminating the Path—, the Research and Development Agenda for Visual Analytics, IEEE CS, 2005.
3. P.C. Wong et al., "The Top 10 Challenges in Extreme-Scale Visual Analytics," IEEE Computer Graphics and Applications, vol. 32, no. 4, 2012, pp. 63–67.
4. S. Ashby et al., The Opportunities and Challenges of Exascale Computing: Summary Report of the Advanced Scientific Computing Advisory Committee (ASCAC) Subcommittee, US Dept. of Energy Office of Science, 2010; http://science.energy.gov/~/media/ascr/ascac/ pdf/reportsExascale_subcommittee_report.pdf.
5. "Cisco Visual Networking Index: Forecast and Methodology, 2010–2015," Cisco, 2011; www.cisco.com/en/US/solutions/collateral/ ns341/ns525/ns537/ns705/ns827white_paper_c11-481360_ns827_Networking_Solutions_White_Paper.html.

Index Terms:
Special issues and sections,Visual analytics,Large-scale systems,turbulent flow,Special issues and sections,Visual analytics,Large-scale systems,flow fields,extreme-scale visual analytics,visual analytics,computer graphics,Scientific Discovery through Advanced Computing,SciDAC,graph algebra
Citation:
Pak Chung Wong, Han-Wei Shen, Valerio Pascucci, "Extreme-Scale Visual Analytics," IEEE Computer Graphics and Applications, vol. 32, no. 4, pp. 23-25, July-Aug. 2012, doi:10.1109/MCG.2012.73
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