Collecting some of the most seminal work in the field, this book focuses on the subset of scientific visualization concerned with algorithm design, implementation, and optimization for use on today's largest computational platforms. 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, it also presents alternative platforms and architectures as well as contemporary, high performance visualization implementations.
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