gLucifer: next generation visualization framework for high-performance computational geodynamics |
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| Authors: | Dave R Stegman Louis Moresi Robert Turnbull Julian Giordani Patrick Sunter Alan Lo and Steve Quenette |
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| Institution: | (1) Monash Cluster Computing, School of Mathematical Sciences, Monash University, Melbourne, VIC, Australia;(2) Victorian Partnership For Advanced Computing, Melbourne, VIC, Australia |
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| Abstract: | High-performance computing provides unprecedented capabilities to produce higher resolution 4-D models in a fraction of time.
Thus, the need exists for a new generation of visualization systems able to maintain parity with the enormous volume of data
generated. In attempting to write this much data to disk, each computational step introduces a significant performance bottleneck,
yet most existing visualization software packages inherently rely on reading data in from a dump file. Available packages
make this assumption of postprocessing at quite a fundamental level and are not very well suited for plotting very large numbers
of specialized particles. This necessitates the creation of a new visualization system that meets the needs of large-scale
geodynamic modeling. We have developed such a system, gLucifer, using a software framework approach that allows efficient
reuse of our efforts in other areas of research. gLucifer is capable of producing movies of a 4-D data set “on the fly” (simultaneously
with running the parallel scientific application) without creating a performance bottleneck. By eliminating most of the human
efforts involved in visualizing results through postprocessing, gLucifer reconnects the scientist to the numerical experiment
as it unfolds. Data sets that were previously very difficult to even manage may be efficiently explored and interrogated without
writing to disk, and because this approach is based entirely on memory distributed across as many processors as are being
utilized by the scientific application, the visualization solution is scalable into terabytes of data being rendered in real
time. |
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| Keywords: | Visualization 3-D Parallel High-performance computing Geodynamic modeling |
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