A Parallel Rendering Algorithm for Large-Scale Terrain

2010 ◽  
Author(s):  
He Bing ◽  
Sui Lei
Keyword(s):  
Large Scale ◽  
Parallel Rendering

scholarly journals An Interactive 3D Visualization Tool for Large Scale Data Sets for Quantitative Atom Probe Tomography

2011 ◽  
Vol 1349 ◽  
Author(s):  
Hari Dahal ◽  
Michael Stukowski ◽  
Matthias J. Graf ◽  
Alexander V. Balatsky ◽  
Krishna Rajan
Keyword(s):  
User Interface ◽  
Open Source ◽  
Real Time ◽  
Atom Probe Tomography ◽  
Large Scale ◽  
3D Visualization ◽  
Atom Probe ◽  
Parallel Rendering ◽  
Data Sets ◽  
Process Data

ABSTRACTSeveral visualization schemes have been developed for imaging materials at the atomic level through atom probe tomography. The main shortcoming of these tools is their inability to parallel process data using multi-core computing units to tackle the problem of larger data sets. This critically handicaps the ability to make a quantitative interpretation of spatial correlations in chemical composition, since a significant amount of the data is missed during subsequent analysis. In addition, since these visualization tools are not open-source software there is always a problem with developing a common language for the interpretation of data. In this contribution we present results of our work on using an open-source advanced interactive visualization software tool, which overcomes the difficulty of visualizing larger data sets by supporting parallel rendering on a graphical user interface or script user interface and permits quantitative analysis of atom probe tomography data in real time. This advancement allows materials scientists a codesign approach to making, measuring and modeling new and nanostructured materials by providing a direct feedback to the fabrication and designing of samples in real time.

scholarly journals mSwap: a large-scale image-compositing method with optimal m-ary tree

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Min Hou ◽  
Chongke Bi ◽  
Fang Wang ◽  
Liang Deng ◽  
Gang Zheng ◽  
...  
Keyword(s):  
Large Scale ◽  
Scientific Visualization ◽  
Parallel Rendering ◽  
Well Performance ◽  
Medium Scale ◽  
Image Compositing ◽  
Novel Method ◽  
Classical Image ◽  
Large Scale Simulations

AbstractWith the increasing of computing ability, large-scale simulations have been generating massive amounts of data in aerodynamics. Sort-last parallel rendering is the most classical image compositing method for large-scale scientific visualization. However, in the stage of image compositing, the sort-last method may suffer from scalability problem on large-scale processors. Existing image compositing algorithms tend to perform well in certain situations. For instance, Direct Send is well on small and medium scale; Radix-k gets well performance only when the k-value is appropriate and so on. In this paper, we propose a novel method named mSwap for scientific visualization in aerodynamics, which uses the best scale of processors to make sure its performance at the best. mSwap groups the processors that we can use with a (m,k) table, which records the best combination of m (the number of processors in subgroup of each group) and k (the number of processors in each group). Then in each group, using a m-ary tree to composite the image for reducing the communication of processors. Finally, the image is composited between different groups to generate the final image. The performance and scalability of our mSwap method is demonstrated through experiments with thousands of processors.

Study on the Parallel Rendering Technology Used in Virtual Prototype System

2011 ◽  
Vol 201-203 ◽  
pp. 69-74
Author(s):  
Ming Qiang Yin ◽  
Shi Qi Li
Keyword(s):  
Large Scale ◽  
Virtual Prototype ◽  
Parallel Rendering ◽  
Prototype System ◽  
System Transformation ◽  
Virtual Design ◽  
Pc Cluster ◽  
Immersive Virtual Environment ◽  
Processing Power ◽  
Graph Management

With continuous expansion of manufacturing scale, the scene data that virtual prototype system has to deal with is far beyond a single computer's processing power. To meet the requirements of large-scale simulation, this study designs a virtual prototype system based on PC cluster. The problems including software architecture of virtual prototype system, transformation of CAD model, scene graph management, real-time rendering of huge dataset, and so on are investigated in detail in this paper. Finally a prototype system has been implemented. The system is constructed by PC cluster and gigabit LAN. The aim of the system is to build a large-scale, high resolution, immersive virtual environment supporting users' virtual design and manufacture.

scholarly journals mSwap: A Large-Scale Image-Compositing Method with Optimal m-ary Tree

2020 ◽  
Author(s):  
Min Hou ◽  
Chongke Bi ◽  
Fang Wang ◽  
Liang Deng ◽  
Gang Zheng ◽  
...  
Keyword(s):  
Large Scale ◽  
Scientific Visualization ◽  
Parallel Rendering ◽  
Well Performance ◽  
K Value ◽  
Medium Scale ◽  
Image Compositing ◽  
Novel Method ◽  
Classical Image ◽  
Large Scale Simulations

Abstract With the increasing of computing ability, large-scale simulations have been generating massive amounts of data in aerodynamics. Sort-last parallel rendering is the most classical image compositing method for large-scale scientific visualization. However, in the stage of image compositing, the sort-last method may suffer from scalability problem on large-scale processors. Existing image compositing algorithms tend to perform well in certain situations. For instance, Direct Send is well on small and medium scale; Radix-k gets well performance only when the k-value is appropriate and so on. In this paper, we propose a novel method named mSwap for scientific visualization in aerodynamics, which uses the best scale of processors to make sure its performance at the best. mSwap groups the processors that we can use with a (m, k) table, which records the best combination of m (the number of processors in subgroup of each group) and k (the number of processors in each group). Then in each group, using a m-ary tree to composite the image for reducing the communication of processors. Finally, the image is composited between different groups to generate the final image. The performance and scalability of our mSwap method is demonstrated through experiments with thousands of processors.

scholarly journals mSwap: A Large-Scale Image-Compositing Method with Optimal m-ary Tree

2020 ◽  
Author(s):  
Min Hou ◽  
Chongke Bi ◽  
Fang Wang ◽  
Liang Deng ◽  
Gang Zheng ◽  
...  
Keyword(s):  
Large Scale ◽  
Parallel Rendering ◽  
Well Performance ◽  
K Value ◽  
Medium Scale ◽  
Image Compositing ◽  
Novel Method

Abstract With the increasing of computing ability, large-scale science simulations have been generating massive amounts of data in aerodynamics. Sort-last parallel rendering is a proven approach for large-scale science visualization. However, in the stage of image compositing, the sort-last method may suffer from scalability problem on large-scale processors. Existing image compositing algorithms tend to perform well in certain situations. For instance, Direct Send is well on small and medium scale; Radix-k gets well performance only when the k -value is appropriate and so on. In this paper, we propose a novel method named mSwap for science visualization in aerodynamics, which uses the best scale of processors to make sure its performance at the best. mSwap groups the processors that we can use with a ( m, k ) table, which records the best combination of m (the number of processors in subgroup of each group) and k (the number of processors in each group). Then in each group, using a m-ary tree to composite the image for reducing the communication of processors. Finally, the image is composited between different groups to generate the final image. The performance and scalability of our mSwap method is demonstrated through experiments with thousands of processors.

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

Evolution of Large-Scale Coronal Structures

1994 ◽  
Vol 144 ◽  
pp. 29-33
Author(s):  
P. Ambrož
Keyword(s):  
Magnetic Field ◽  
Field Line ◽  
Large Scale ◽  
Coronal Magnetic Field ◽  
Source Surface ◽  
Solar Cycles ◽  
Characteristic Relationship ◽  
The Magnetic Field ◽  
Coronal Structures

AbstractThe large-scale coronal structures observed during the sporadically visible solar eclipses were compared with the numerically extrapolated field-line structures of coronal magnetic field. A characteristic relationship between the observed structures of coronal plasma and the magnetic field line configurations was determined. The long-term evolution of large scale coronal structures inferred from photospheric magnetic observations in the course of 11- and 22-year solar cycles is described.Some known parameters, such as the source surface radius, or coronal rotation rate are discussed and actually interpreted. A relation between the large-scale photospheric magnetic field evolution and the coronal structure rearrangement is demonstrated.

Large-scale Motion of Solar Filaments

2000 ◽  
Vol 179 ◽  
pp. 205-208
Author(s):  
Pavel Ambrož ◽  
Alfred Schroll
Keyword(s):  
Magnetic Flux ◽  
Proper Motion ◽  
Time Scale ◽  
Large Scale ◽  
Accuracy Of Measurements ◽  
Solar Filaments ◽  
General Movement ◽  
Scale Motion ◽  
Velocity Scatter

AbstractPrecise measurements of heliographic position of solar filaments were used for determination of the proper motion of solar filaments on the time-scale of days. The filaments have a tendency to make a shaking or waving of the external structure and to make a general movement of whole filament body, coinciding with the transport of the magnetic flux in the photosphere. The velocity scatter of individual measured points is about one order higher than the accuracy of measurements.

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