High Performance Visualization: Enabling Extreme-Scale Scientific Insight

作者: E. Wes Bethel , Hank Childs , Chuck Hansen

DOI: 10.1201/B12985

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

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