Interactive parallel visualization of large particle datasets

Liang, Kevin; Monger, Patricia; Couchman, H. M. P.

doi:10.1016/j.parco.2005.02.008

Cited by 11 publications

(7 citation statements)

References 10 publications

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“…A cluster composed of a collection of independent and cheap machines, used together as a supercomputer, provide a well and economical solution (Liang et al 2004;Xiong et al 2007). A Parallel rendering scheme for complex scene based on PC cluster and high-speed LAN is proposed.…”

Section: Parallel Rendering For Complex Scenementioning

confidence: 99%

A virtual environment for complex products collaborative assembly operation simulation

Zhen

Fan

et al. 2010

J Intell Manuf

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As complex products such as automobiles and ships are usually developed at geographically dispersed locations, it brings the difficulty for component model verification and assembly process evaluation. To cope with this challenge, a relatively comprehensive system scheme which supports complex product real-time collaborative interactive assembly is proposed. To get high performance, the technologies such as parallel rendering for complex scene based on pc-cluster, high-efficient collision detection method, the mechanism of event synchronization based on HLA/RTI (High level Architecture/Run-time Infrastructure) are applied. A prototype system named Distributed Parallel Virtual Assembly Environment (DPVAE) is developed. With DPVAE, users at different location can do assembly operation collaboratively by hand or by tool, to conduct the component model verification and assembly process evaluation at the same time. Through a case study of RA750 car assembly, the validity of system functions has been demonstrated successfully.

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Section: Parallel Rendering For Complex Scenementioning

confidence: 99%

A virtual environment for complex products collaborative assembly operation simulation

Zhen

Fan

et al. 2010

J Intell Manuf

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“…Subsampling the points is not an acceptable general approach for the visualization of particle-based methods; arbitrary smoothing is also not guaranteed for giving acceptable results. A survey of fields, where particle methods are widely used (Astrophysics, Fluid Mechanics, Solid Mechanics), suggests that existing packages are not suitable for handling the large number (10 6 -10 8 ) of particles that are typical in FE-PIC numerical methods [an exception being Liang et al (2004)]. This paper describes gLucifer, a visualization system that has been specifically designed to fill the lack of appropriate visualization software for geo-scientific research areas.…”

Section: Motivationmentioning

confidence: 99%

gLucifer: next generation visualization framework for high-performance computational geodynamics

Stegman¹,

Moresi²,

Turnbull³

et al. 2008

Vis Geosci

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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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“…Several efforts have investigated techniques to render large numbers of spheres efficiently, from using massively parallel processors [Krogh et al 1997] and visualization clusters [Liang et al 2004] to designing custom hardware [Zemcik et al 2003]. Another aspect of particle visualization is the choice of shading model used during rendering.…”

Section: Particle Visualizationmentioning

confidence: 99%

Enhancing interactive particle visualization with advanced shading models

Gribble

Parker

2006

Proceedings of the 3rd Symposium on Applied Perception in Graphics and Visualization

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Figure 1: Comparing shading models. When shading a surface, purely local models do not consider contributions from other surfaces in the environment (left). These models are often augmented with shadows to enhance cues about shape and relative position (middleleft). However, the constant ambient term used to approximate indirect illumination often obscures details in shadowed regions, providing ambiguous or conflicting information. More accurate shading models, for example, ambient occlusion (middle-right) and physically based diffuse interreflection (right), provide better perceptual cues in these regions. AbstractParticle-based simulation methods are used to model a wide range of complex phenomena and to solve time-dependent problems of various scales. Effective visualization of the resulting state should communicate subtle changes in the three-dimensional structure, spatial organization, and qualitative trends within a simulation as it evolves. We take steps toward understanding and using advanced shading models in the context of interactive particle visualization. Specifically, the impact of ambient occlusion and physically based diffuse interreflection is investigated using a formal user study. We find that these shading models provide additional visual cues that enable viewers to better understand subtle features within particle datasets. We also describe a visualization process that enables interactive navigation and exploration of large particle datasets, rendered with illumination effects from advanced shading models. Informal feedback from application scientists indicates that the results of this process enhance the data analysis tasks necessary for understanding complex particle datasets.

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Interactive parallel visualization of large particle datasets

Cited by 11 publications

References 10 publications

A virtual environment for complex products collaborative assembly operation simulation

A virtual environment for complex products collaborative assembly operation simulation

gLucifer: next generation visualization framework for high-performance computational geodynamics

Enhancing interactive particle visualization with advanced shading models

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