White Papers

Scout: A Hardware-Accelerated Language for Data Visualization and Analysis

Tags: data

Overview The primary goal of the Scout Project is to provide efficient and effective techniques for the visualization and analysis of scientific data. Many visualization techniques rely on the use of indirect mappings to transform data into the final rendered imagery. In many situations it is preferable to express these mappings as mathematical expressions that can be directly applied to the data. Scout provides a data parallel language that provides such capabilities and exploits the computational power of graphics hardware to perform portions of the tasks that would otherwise be executed on the central processing unit.

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Publisher: University of Utah
File Format: PDF
Date Published: Oct 14, 2008
Format: White Papers
Topics: Data Visualization, Data Mining - Analysis

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