Visualization Methods in High Performance Computing and Flow Simulation


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.







High Performance Visualization


Book Description

Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms. High Performance Visualization: Enabling Extreme-Scale Scientific Insight focuses on the subset of scientific visualization concerned with algorithm design, implementation, and optimization for use on today’s largest computational platforms. The book collects some of the most seminal work in the field, including algorithms and implementations running at the highest levels of concurrency and used by scientific researchers worldwide. After introducing the fundamental concepts of parallel visualization, the book explores approaches to accelerate visualization and analysis operations on high performance computing platforms. Looking to the future and anticipating changes to computational platforms in the transition from the petascale to exascale regime, it presents the main research challenges and describes several contemporary, high performance visualization implementations. Reflecting major concepts in high performance visualization, this book unifies a large and diverse body of computer science research, development, and practical applications. It describes the state of the art at the intersection of scientific visualization, large data, and high performance computing trends, giving readers the foundation to apply the concepts and carry out future research in this area.




In Situ Visualization for Computational Science


Book Description

This book provides an overview of the emerging field of in situ visualization, i.e. visualizing simulation data as it is generated. In situ visualization is a processing paradigm in response to recent trends in the development of high-performance computers. It has great promise in its ability to access increased temporal resolution and leverage extensive computational power. However, the paradigm also is widely viewed as limiting when it comes to exploration-oriented use cases. Furthermore, it will require visualization systems to become increasingly complex and constrained in usage. As research efforts on in situ visualization are growing, the state of the art and best practices are rapidly maturing. Specifically, this book contains chapters that reflect state-of-the-art research results and best practices in the area of in situ visualization. Our target audience are researchers and practitioners from the areas of mathematics computational science, high-performance computing, and computer science that work on or with in situ techniques, or desire to do so in future.




Visualization in Supercomputing


Book Description

Massive amounts of numeric data are far more comprehensible when converted into graphical form. Hence visualization is becoming an integral part of many areas of research. The idea of visualization is not new, but techniques for visualization are still being developed, and visualization research is just beginning to be recognized as a cornerstone of future computer science. As scientists handle increasingly complex problems with computers, visualization will become an even more essential tool for extracting sense from numbers. This volume is a collection of the best papers selected from those presented at the August 1988 Visualization in Supercomputing Conference in Tokyo, Japan. It is divided into three parts: visualization applications, hardware and performance, and visualization theory. Subjects covered include visualization methods used in computational fluid dynamics research, time-to-solution aspects of visualization, the use of parallel/vector computers with finite element method systems, basic computational performance of two graphics supercomputers, and the applicability of the volume imaging concept in various fields.







Visualization Techniques of a CFD++ Data Set of a Spinning Smart Munition


Book Description

Computational fluid dynamics (CFD)++ is a modern state-of-the-art CFD code that is well validated and routinely used at the U.S. Army Research Laboratory for accurate predictions of projectile aerodynamics. As part of a Department of Defense high performance computing Challenge Project, CFD++ code was used to perform unsteady (time-accurate) high performance computing numerical simulations in a new area of aerodynamic research on synthetic jets to control subsonic projectiles. Efficient visualization of the enormous amounts of data that are regularly produced by these physics-based unsteady numerical simulations is challenging because of the complexity of the grids, the size of the data sets involved, and the physical properties of the phenomena to be visualized. In this report, we describe techniques for visualizing the complex fluid flow in and around a pulsating jet diaphragm.




The Visualization Toolkit


Book Description

This Java-built "Visualization Toolkit (VTK)" will enable readers to represent any set of data--medical, scientific, or financial--in 3D. Users will learn to build 3D Java applets with the VTK software on the CD-ROM. The book covers Web applications like VRML, Java, and Java3D.