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Hank Childs
Hank Childs
Professor of Computer Science, University of Oregon
Email confirmado em uoregon.edu - Página inicial
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VisIt: An End-User Tool For Visualizing and Analyzing Very Large Data
H Childs, E Brugger, B Whitlock, J Meredith, S Ahern, D Pugmire, ...
High Performance Visualization-Enabling Extreme-Scale Scientific Insight …, 2012
9102012
High Performance Visualization: Enabling Extreme-Scale Scientific Insight
EW Bethel, H Childs, C Hansen
Textbook from CRC Press, 2012
400*2012
A Contract Based System for Large Data Visualization
H Childs, E Brugger, K Bonnell, J Meredith, M Miller, B Whitlock, N Max
VIS05: IEEE Visualization, 191-198, 2005
3082005
In situ methods, infrastructures, and applications on high performance computing platforms
AC Bauer, H Abbasi, J Ahrens, H Childs, B Geveci, S Klasky, K Moreland, ...
CGF: Computer Graphics Forum 35 (3), 577-597, 2016
2252016
FastBit: Interactively Searching Massive Data
K Wu, S Ahern, EW Bethel, J Chen, H Childs, E Cormier-Michel, ...
SciDAC09: Journal of Physics: Conference Series 180 (1), 012053, 2009
2202009
VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures
K Moreland, C Sewell, W Usher, L Lo, J Meredith, D Pugmire, J Kress, ...
CG&A: IEEE Computer Graphics and Applications 36 (3), 48-58, 2016
2082016
The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman
M Larsen, J Ahrens, U Ayachit, E Brugger, H Childs, B Geveci, C Harrison
ISAV: In Situ Infrastructures for Enabling Extreme-scale Analysis and …, 2017
1502017
Extreme Scaling of Production Visualization Software on Diverse Architectures
H Childs, D Pugmire, S Ahern, B Whitlock, M Howison, M Prabhat, ...
CG&A: IEEE Computer Graphics and Applications 30 (3), 22-31, 2010
1462010
Scalable Computation of Streamlines on Very Large Datasets
D Pugmire, H Childs, C Garth, S Ahern, GH Weber
SC09: Proceedings of the Conference on High Performance Computing Networking …, 2009
1302009
Scientific Discovery at the Exascale
S Ahern, A Shoshani, KL Ma, A Choudhary, T Critchlow, S Klasky, ...
Report from the DOE ASCR 2011 Workshop on Exascale Data Management, 2011
127*2011
Streamline Integration Using MPI-Hybrid Parallelism on a Large Multicore Architecture
D Camp, C Garth, H Childs, D Pugmire, K Joy
TVCG: IEEE Transactions on Visualization and Computer Graphics 17 (11), 1702 …, 2010
1102010
Data Reduction Techniques for Simulation, Visualization and Data Analysis
S Li, N Marsaglia, C Garth, J Woodring, J Clyne, H Childs
CGF: Computer Graphics Forum 37 (6), 422-447, 2018
1072018
A Scalable, Hybrid Scheme for Volume Rendering Massive Data Sets
H Childs, MA Duchaineau, KL Ma
EGPGV: EuroGraphics Symposium on Parallel Graphics and Visualization, 153-161, 2006
1022006
Large Data Visualization on Distributed Memory Multi-GPU Clusters
T Fogal, H Childs, S Shankar, J Krüger, RD Bergeron, P Hatcher
HPG: Proceedings of the Conference on High Performance Graphics, 57-66, 2010
982010
A Terminology for In Situ Visualization and Analysis Systems
H Childs, SD Ahern, J Ahrens, AC Bauer, J Bennett, EW Bethel, ...
IJHPCA: The International Journal of High Performance Computing Applications …, 2020
95*2020
Research Challenges for Visualization Software
H Childs, B Geveci, W Schroeder, J Meredith, K Moreland, C Sewell, ...
IEEE Computer 46 (5), 34-42, 2013
852013
Hybrid Parallelism for Volume Rendering on Large-, Multi-, and Many-core Systems
M Howison, EW Bethel, H Childs
TVCG: IEEE Transactions on Visualization and Computer Graphics 18 (1), 17-29, 2011
812011
High Performance Multivariate Visual Data Exploration for Extremely Large Data
O Rubel, K Wu, H Childs, J Meredith, CGR Geddes, E Cormier-Michel, ...
SC08: Proceedings of the 2008 ACM/IEEE conference on Supercomputing, 1-12, 2008
782008
MPI-Hybrid Parallelism for Volume Rendering on Large, Multi-core Systems
M Howison, EW Bethel, H Childs
EGPGV: EuroGraphics Symposium on Parallel Graphics and Visualization, 1-10, 2010
722010
Improved Post Hoc Flow Analysis Via Lagrangian Representations
A Agranovsky, D Camp, C Garth, EW Bethel, KI Joy, H Childs
LDAV: IEEE Symposium on Large Data Visualization and Analysis, 67-75, 2014
712014
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