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James Ahrens
Also published under:James P. Ahrens, James Paul Ahrens, J. P. Ahrens, Jim Ahrens, J. Ahrens
Affiliation
Los Alamos National Lab, Los Alamos, U.S.A
Topic
Adaptive Mesh Refinement,Compression Ratio,Source Code,Lossy Compression,Peak Signal-to-noise Ratio,Coding Tree,Compression Algorithm,Compression Quality,Data Reduction,High Compression Ratio,High-performance Computing,Scientific Visualization,1D Array,Block Size,Color Map,Compression Approach,Compression Artifacts,Dark Matter,Data Structure,Entire Domain,Error Bounds,File System,Final Level,Image Quality,Lossless Compression,Machine Learning,Power Spectrum,Redundant Data,Refinement Level,Small Blocks,Transfer Function,Volume Rendering,1D Data,3D Datasets,3D Visualization,Adaptive Mesh Refinement Simulations,Administrative System,Advances In Hardware,Application Programming Interface,Application Running,Application Version,Assessment Metrics,Atomic Vacancies,Average Period,Baryon Density,Bezier Curve,Binary Search,Bitplane,Boundary Data,Building Procedure,
Biography
Dr. James Ahrens graduated in 1996 with a Ph.D. in computer science from the University of Washington. Following his graduate studies, he joined Los Alamos National Laboratory. He is the founder and design lead of ParaView, a widely-adopted visualization and data analysis package for large-scale scientific simulation data. At Los Alamos, he is the leader of a data analysis and visualization team as well as a national leader of U.S. Department of Energy programmatic initiatives.