Visualization in Scientific Computing or Scientific Visualization Multiresolution

Scientific Computing w use of computers to simulate physical processes or systems: • •

Example: crash simulation of a car equation for shear stress (deformation)

w w finite element model (FEM) geometrical model

w w resolve the equation for each element of the model data: • geometry

w our model (8 MB): • • 289 parts 32. 000 nodes 28. 000

… try to understand the numerical information not a good solution (~400. 000 scalar

… computer graphics and animation “we are better at understanding this kind of information”

Scientific Visualization w is the use of computer graphics to create visual images that

Problems Possible solutions unprecedented growth w multiresolution methods in the amount of data w

Accelerated Strategic Computing Initiative (ASCI) - DOE

ASCI Red TFLOPS Supercomputer * 4640 compute nodes * 16/74/20 service/disk/network nodes * 9536

Multiresolution representation * at different levels of detail 100 % 50 % 10 %

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Visualization in Scientific Computing (or Scientific Visualization) Multiresolution, . . .

Scientific Computing w use of computers to simulate physical processes or systems: • • • development of mathematical model (equation) development of a numerical algorithm implementation in a computer software numerical simulation representation of the result in a comprehens. form interpretation and validation

Example: crash simulation of a car equation for shear stress (deformation)

w w finite element model (FEM) geometrical model

w w resolve the equation for each element of the model data: • geometry (3 D coordinates) • results: • scalar values (stress) • vector values (deformation)

w our model (8 MB): • • 289 parts 32. 000 nodes 28. 000 elements 13 time steps Q: how can we interpret this data?

… try to understand the numerical information not a good solution (~400. 000 scalar & 400. 000 vector values)

… computer graphics and animation “we are better at understanding this kind of information”

Scientific Visualization w is the use of computer graphics to create visual images that aid in the understanding of complex numerical representation of scientific concepts or results w utilize the pattern-recognition capability of the human visual system

* astrophysics (Big bang)

* molecular biology

* visual arts

* computational fluid dynamics

* gas model of the sun

Problems Possible solutions unprecedented growth w multiresolution methods in the amount of data w automatic feature w our capability to extraction manipulate, explore and understand large data sets growth more slowly w

Q: How large is large?

Accelerated Strategic Computing Initiative (ASCI) - DOE

ASCI Red TFLOPS Supercomputer * 4640 compute nodes * 16/74/20 service/disk/network nodes * 9536 Pentium Pro processors * 2500 square feet footprint * 606 GBytes RAM memory * 1. 8 TFlops system peak performance

Multiresolution representation * at different levels of detail 100 % 50 % 10 %

Feature extraction

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