Chun-Lung Lim

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Scientific Visualization in
High Performance Computing

• Chun-Lung Lim Cindy Burklow

Click Here to Start
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What Exactly is Scientific Visualization ?
A process associated with computational science
that represents the results of complex simulation
computations as graphical images that usually
involves millions of numerical data. It is any
technique involving the transformation of data
into visual information, using a well understood,
reproducible process.
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Data Input
Visualization Pipeline
Data Filtering
Data Mapping
Data Output
Validation
Image
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What is it used for?

• Medical Imaging
• Geospatial Topography
• Radio Frequency Propagation
• Meteorology
• Hydrology
• Data Fusion
• Oil-Gas Exploration Production
• Finance Business Models

• Prepare data sets
• Calibrate/ Interpret/present model results
• Code Debug Performance analysis
• Computer Simulations
• Computational Fluid Dynamics
• Finite Element Analysis
• Electronic Design Automation
• Data Mining OLAP

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Advantages

• Gives a new perspective on the data
• Make a better and faster decision
• Can be used to interpolate any missing data
• Can be made "user friendly" for non-technical
  viewers
• Easier to spot errors in inconsistencies in
  massive data sets
• Quickly create or modify data sets by
  manipulating graphic objects on computer screen

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Disadvantages

• May require technical professional
• Can discourage collaborations
• Quick to draw wrong conclusions
• May require to specific software hardware
• May encourage dependency on visual aid only
• May require substantial amount of CPU time
• Not all computer graphics packages qualify as
  visualization systems

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What is your conclusion
from viewing
this graphic?
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Was your conclusion correct?
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Poor Software Design is dangerous!
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Visualization
Software Qualifications

• Compresses large volumes of data into a limited
  number of pictures
• Reveal correlations between different quantities
  both in space time
• Furnish new space-like structures beside the ones
  which are already known from previous
  calculations
• Opens up the possibility to view the data
  selectively and interactively in "real time."

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Timeline
1969
Present
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1969
Spacecraft Plasma
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1970's
Herman Chernoff s Face
Data Trend Analysis
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1970's
Galaxies Interactions
Ohio State researchers created a milestone
visualization film on the interaction of
neighboring galaxies.
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1970's
Medical Breakthroughs
CT-Scan
2-D
3-D
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1970's
Other Milestones
A two gyro gravity gradient altitude control
system
Molecular Visualization
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1980's
Highlights of the '80's

• Algorithm Visualization
• Introduction of Supercomputer Visualization
  Software
• Further Advances in 3-D imaging

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Algorithm Visualization
http//www.cs.ubc.ca/spider/harrison/Java/sorting-
demo.html
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1980's
AVS System Screen Shot
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1980's
AVS System Screen Shot
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1980's
Iris Explorer
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1980's
Wavefront Advanced Visualizer
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1980's
Medical Advances
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1990's
Splatting
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1990's
Contour Mapping
2-D Vector Data
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1990's
Stream plot
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1990's
Natural Phenomena
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1990's
3-D Visualizations
Improvements
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1990's
Geological Visualizations
http//geology.asu.edu/sreynolds/geomap3d/geomap3
d_gallery.htm
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1990's
Storm Modeling
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Software Developed after
September 11, 2001
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2000's
Security Modeling
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2000's
Spotfire DecisionSite
Speeds Intelligence Analysis

• http//www.spotfire.com/products/gallery/decisions
  ite_demo.cfm

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2000's
Supercomputer
Visualization Software

• VTK
• VisAd
• Scientific Computing And Imaging Institute
• Ohio Supercomputer Center

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2000's
VTK
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2000's
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2000's
VisAD Examples
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VisAD
Image Stretching
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Software Downloads

• Visualization ToolKit (VTK)http//public.kitware.
  com/VTK/
• Supercomputing Institute http//www.msi.umn.edu/c
  gi-bin/soft/index.html
• Scientific Computing And Imaging
  Institutehttp//software.sci.utah.edu/
• Ohio Supercomputer Center http//www.osc.edu/hpc/s
  oftware/

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2000's
Spectrogram Version 12

• Audio Spectrum Analysis

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Question Time
Click Dark Vadar
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References

• http//accad.osu.edu/waynec/history/lesson18.html
  
• http//en.wikipedia.org/wiki
• http//www.cc.gatech.edu/scivis/tutorial/linked/mo
  tivations.htm
• http//www.nesc.ac.uk/talks/ahm2005/306.ppt
• http//www.sdsc.edu/johnson/projects/resource/tut
  orials.html
• http//www.cs.ubc.ca/spider/harrison/Java/sorting-
  demo.html
• http//geology.asu.edu/sreynolds/geomap3d/geomap3
  d_gallery.htm
• http//www.spotfire.com/solutions/intelligence_ana
  lytics/
• http//www.spotfire.com/products/gallery/decisions
  ite_demo.cfm
• http//www.supercomputingonline.com/partners.php
• http//www.paraview.org/HTML/Index.html
• http//www.msi.umn.edu/cgi-bin/soft/index.html
• http//www.msi.umn.edu/user_support/scivis/scivis-
  list.html
• http//software.sci.utah.edu/
• http//www.ssec.wisc.edu/billh/visad.html
• http//www.math.usu.edu/adele/forests/cc_graphics
  .htm
• http//www.genetics.ucla.edu/labs/horvath/kidneypa
  per/RCC.htm
• http//www.ssec.wisc.edu/curtis/stretch-images.ht
  ml
• http//public.kitware.com/VTK/

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THE END