FIGURE 9.4 VisIt client connected to GADGET-2 instrumented with Libsim. Image source:
Whitlock et al., 2011.
FIGURE 9.2 Visualization of the particles and CH
2
O field.
FIGURE 9.8 Visualization uncovering the interaction between the small turbulent eddies and the
preheated layer of flame.
FIGURE 9.5 This example has four separate program — the Pixie3D — simulation, Pixplot,
Pixmon, and VisIt — strung together as a workflow on the same supercomputer. A fifth program,
the staging server (ADIOS), serves the read and write requests of these programs through its API.
FIGURE 11.3 Interactive sort-first volume rendering of the Visible Human (2048 w 1024 w 1878).
Image source: Moloney et al., 2011, data courtesy of the National Library of Medicine.
FIGURE 11.4 Visualization of a laser ablation simulation with 48 million atoms rendered interac-
tively on a standard workstation computer. Image source: Gröttel et al., 2010.
FIGURE 11.6 A rear-projection tiled display without photometric calibration.
FIGURE 12.1 4608
2
image of a combustion simulation result, rendered by a hybrid parallel
MPI+pthreads implementation running on 216,000 cores of the JaguarPF supercomputer. Image
source: Howison et al., 2011. Combustion simulation data courtesy of J. Bell and M. Day (LBNL).
FIGURE 12.8 Integral curve computation lies at the heart of visualization techniques like
streamlines, which are very useful for seeing and understanding complex flow-based phenomena.
This image shows an example from computational thermal hydraulics. Algorithmic performance is
a function of many factors, including the characteristics of the flow field in the underlying data set.
This data set has different characteristics than those shown in Chapter 6, Figure 14. Image courtesy
of Hank Childs and David Camp (LBNL).
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