High Performance Visualization

Enabling Extreme-Scale Scientific Insight

E. Wes Bethel (Lawrence Berkeley Laboratory, California, USA), Hank Childs, Charles Hansen

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English

CRC Press
16 November 2016

Computing: general; Algorithms & data structures

Series: Chapman & Hall/CRC Computational Science

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.

Edited by: E. Wes Bethel (Lawrence Berkeley Laboratory California USA), Hank Childs, Charles Hansen
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 703g
ISBN: 9781138199613
ISBN 10: 1138199613
Series: Chapman & Hall/CRC Computational Science
Pages: 516
Publication Date: 16 November 2016
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Paperback
Publisher's Status: Active

Introduction. I Distributed Memory Parallel Concepts and Systems: Parallel Visualization Frameworks. Remote and Distributed Visualization Architectures. Rendering. Parallel Image Compositing Methods. Parallel Integral Curves. II Advanced Processing Techniques: Query-Driven Visualization and Analysis. Progressive Data Access for Regular Grids: In Situ Processing. Streaming and Out-of-Core Methods. III Advanced Architectural Challenges and Solutions: GPU-Accelerated Visualization. Hybrid Parallelism. Visualization at Extreme Scale Concurrency. Performance Optimization and Auto-tuning. The Path to Exascale. IV High Performance Visualization Implementations: VisIt: An End-User Tool for Visualizing and Analyzing Very Large Data. IceT. The ParaView Visualization Application. The ViSUS Visualization Framework. The VAPOR Visualization Application. The EnSight Visualization Application. Index.

E. Wes Bethel, Hank Childs, Charles Hansen

Reviews for High Performance Visualization: Enabling Extreme-Scale Scientific Insight

E. Wes Bethel, Hank Childs, and Chuck Hansen have developed an eminently readable and comprehensive book. It provides the very first in-depth introduction to the interaction of two highly important and relevant topics in computational science: high performance computing and scientific visualization. The book provides a broad background on both topics, but more importantly, for the first time in book form, they describe some of the most recent developments in scientific visualization as we move from the Petascale era to Exaflops computing. ... It will provide a solid foundation for anyone who considers using the most recent tools for visualization in order to understand complex simulation data or to understand the ever increasing amount of experimental data. I highly recommend this timely book for scientists and engineers. -From the Foreword by Horst Simon, Lawrence Berkeley National Laboratory and University of California, Berkeley