A book/disk package showing how to use 3D animation in simulations, visualizations, and virtual reality. Provides tutorials for six sample applications. Annotation copyright by Book News, Inc., Portland, OR

System requirements for computer disk: IBM-compatible PC with 80286 microprocessor or better; 4MB RAM (8MB recommended); DOS; Windows 3.0 or better (3.1 required for 386); C/C++; hard drive with 1MB free space; VGA graphics capabilities.

A practical handbook for C++ programmers, this volume opens the door to cutting-edge object- and image-based visualization technology. Readers learn how to combine visual thinking and analysis with Windows graphics to produce applications for problem solving, abstract and scientific analysis, multimedia presentation, and more. More than 600K of Visual Basic code is included on the disk.

This book contains the revised selected papers of 4 workshops held in conjunction with the International Conference on High Performance Computing, Networking, Storage and Analysis (SC) in November 2017 in Denver, CO, USA, and in November 2018 in Dallas, TX, USA: the 6th and 7th International Workshop on Extreme-Scale Programming Tools, ESPT 2017 and ESPT 2018, and the 4th and 5th International Workshop on Visual Performance Analysis, VPA 2017 and VPA 2018. The 11 full papers of ESPT 2017 and ESPT 2018 and the 6 full papers of VPA 2017 and VPA 2018 were carefully reviewed and selected for inclusion in this book. The papers discuss the requirements for exascale-enabled tools as well as new approaches of applying visualization and visual analytic techniques to large-scale applications. Topics of interest include: programming tools; methodologies for performance engineering; tool technologies for extreme-scale challenges (e.g., scalability, resilience, power); tool support for accelerated architectures and large-scale multi-cores; tool infrastructures and environments; evolving/future application requirements for programming tools and technologies; application developer experiences with programming and performance tools; scalable displays of performance data; case studies demonstrating the use of performance visualization in practice; data models to enable scalable visualization; graph representation of unstructured performance data; presentation of high-dimensional data; visual correlations between multiple data sources; human-computer interfaces for exploring performance data; and multi-scale representations of performance data for visual exploration.