Visualization of Time-dependent Adaptive Mesh Refinement Data PDF Download

Author: Ralf Kähler
Publisher:
ISBN:
Category :
Languages : en
Pages : 18

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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
The visualization and analysis of AMR-based simulations is integral to the process of obtaining new insight in scientific research. We present a new method for performing query-driven visualization and analysis on AMR data, with specific emphasis on time-varying AMR data. Our work introduces a new method that directly addresses the dynamic spatial and temporal properties of AMR grids which challenge many existing visualization techniques. Further, we present the first implementation of query-driven visualization on the GPU that uses a GPU-based indexing structure to both answer queries and efficiently utilize GPU memory. We apply our method to two different science domains to demonstrate its broad applicability.

Author: Gunther H. Weber
Publisher:
ISBN: 9783936890211
Category :
Languages : en
Pages : 169

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Author: W. Borchers
Publisher: VSP
ISBN: 9789067642149
Category : Technology & Engineering
Languages : en
Pages : 200

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Book Description
The developments of new algorithms in applied mathematics, of new concepts in computer sciences, and of new hardware in computer technology have led to an immense output of data streams describing the solutions of important physical or technological problems. In order to understand and to explore the results of calculations, new visualization methods have been developed. These novel methods are indispensable for mathematicians and engineers working with problems such as flow theory or elasticity. These proceedings contain selected contributions from the DFG-workshop on visualization, held at the University of Paderborn, January 18--20, 1994, and will be of interest to researchers in the above mentioned fields.

Author:
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ISBN:
Category :
Languages : en
Pages :

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Adaptive Mesh Refinement (AMR) is a highly effective computation method for simulations that span a large range of spatiotemporal scales, such as astrophysical simulations, which must accommodate ranges from interstellar to sub-planetary. Most mainstream visualization tools still lack support for AMR grids as a first class data type and AMR code teams use custom built applications for AMR visualization. The Department of Energy's (DOE's) Science Discovery through Advanced Computing (SciDAC) Visualization and Analytics Center for Enabling Technologies (VACET) is currently working on extending VisIt, which is an open source visualization tool that accommodates AMR as a first-class data type. These efforts will bridge the gap between general-purpose visualization applications and highly specialized AMR visual analysis applications. Here, we give an overview of the state of the art in AMR scalar data visualization research.

Author: D. Ebert
Publisher: Springer Science & Business Media
ISBN: 3709162157
Category : Computers
Languages : en
Pages : 370

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This book contains 33 papers presented at the Third Joint Visualization Symposium of the Eurographics Association and the Technical Committee on Visualization and Graphics of the IEEE Computer Society. The main topics treated are: visualization of geoscience data; multi-resolution and adaptive techniques; unstructured data, multi-scale and visibility; flow visualization; biomedical applications; information visualization; object representation; volume rendering; information visualization applications; and automotive applications.

Author: Shengtai Li
Publisher:
ISBN:
Category :
Languages : en
Pages : 574

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Author: Tomasz Plewa
Publisher: Springer Science & Business Media
ISBN: 3540270396
Category : Mathematics
Languages : en
Pages : 550

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Book Description
Advanced numerical simulations that use adaptive mesh refinement (AMR) methods have now become routine in engineering and science. Originally developed for computational fluid dynamics applications these methods have propagated to fields as diverse as astrophysics, climate modeling, combustion, biophysics and many others. The underlying physical models and equations used in these disciplines are rather different, yet algorithmic and implementation issues facing practitioners are often remarkably similar. Unfortunately, there has been little effort to review the advances and outstanding issues of adaptive mesh refinement methods across such a variety of fields. This book attempts to bridge this gap. The book presents a collection of papers by experts in the field of AMR who analyze past advances in the field and evaluate the current state of adaptive mesh refinement methods in scientific computing.

Author: Rephael Wenger
Publisher: CRC Press
ISBN: 1466571020
Category : Computers
Languages : en
Pages : 484

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Ever since Lorensen and Cline published their paper on the Marching Cubes algorithm, isosurfaces have been a standard technique for the visualization of 3D volumetric data. Yet there is no book exclusively devoted to isosurfaces. Isosurfaces: Geometry, Topology, and Algorithms represents the first book to focus on basic algorithms for isosurface co

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 25

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We discuss mesh-moving, static mesh regeneration, and local mesh-refinement algorithms that can be used with a finite difference or finite element scheme to solve initial boundary value problems for vector systems of time-dependent partial differential equations in two space dimensions and time. A coarse based mesh of quadrilateral cells is moved by an algebraic mesh-movement function so as to follow and isolate spatially distinct phenomena. The local mesh-refinement method recursively divides the time step and spatial cells of the moving base mesh in regions where error indicators are high until a prescribed tolerance is satisfied. The static mesh-regeneration procedure is used to create a new base mesh when the existing one becomes to distorted. The adaptive methods have been combined with a MacCormack finite difference scheme for hyperbolic systems and an error indicator based upon estimates of the local discretization error obtained by Richardson extrapolation. Results are presented for several computational examples.