Visualization In Scientific Computing
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Visualization in Scientific Computing
Author: Michel Grave
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Visualization in scientific computing is getting more and more attention from many people. Especially in relation with the fast increase of com puting power, graphic tools are required in many cases for interpreting and presenting the results of various simulations, or for analyzing physical phenomena. The Eurographics Working Group on Visualization in Scientific Com puting has therefore organized a first workshop at Electricite de France (Clamart) in cooperation with ONERA (Chatillon). A wide range of pa pers were selected in order to cover most of the topics of interest for the members of the group, for this first edition, and 26 of them were presented in two days. Subsequently 18 papers were selected for this volume. 1'he presentations were organized in eight small sessions, in addition to discussions in small subgroups. The first two sessions were dedicated to the specific needs for visualization in computational sciences: the need for graphics support in large computing centres and high performance net works, needs of research and education in universities and academic cen tres, and the need for effective and efficient ways of integrating numerical computations or experimental data and graphics. Three of those papers are in Part I of this book. The third session discussed the importance and difficulties of using stan dards in visualization software, and was related to the fourth session where some reference models and distributed graphics systems were discussed. Part II has five papers from these sessions.
Visualization in Scientific Computing
The purpose of this text is to provide a reference source to scientists, engineers, and students who are new to scientific visualization or who are interested in expanding their knowledge in this subject. If used properly, it can also serve as an introduction and tutorial.
Visualization in Scientific Computing
Visualization is the most important approach to extract relevant information from the huge amount of data produced in today’s computational and experimental sciences. Selected contributions from the fifth in a well established series of workshops on "Visualization in Scientific Computing”, organized by the EUROGRAPHICS Association, held at May 30 to June 1, 1994, in Rostock, Germany, treat topics of particular interest in current research: visualization of multidimensional data, flow visualization, data modeling, time control, interaction, and volume visualization. Examples of applications for instance come from flow simulation, chemistry, medical imaging, and geography. Readers will profit in getting insight in state-of-the-art techniques which might help them to solve their visualization problems.