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ORCIDHank Childs
Henry R. Childs
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- affiliation: University of Oregon, Department of Computer and Information Science
- affiliation: Lawrence Berkeley National Laboratory
- affiliation: Lawrence Livermore National Laboratory
- affiliation: University of California, Davis, Department of Computer Science
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2020 – today
- 2023
[j30]Valentin Bruder
, Matthew Larsen, Thomas Ertl, Hank Childs, Steffen Frey:
A Hybrid in Situ Approach for Cost Efficient Image Database Generation. IEEE Trans. Vis. Comput. Graph. 29(9): 3788-3798 (2023)- [c83]Mark Bolstad, Kenneth Moreland, David Pugmire, David H. Rogers, Li-Ta Lo, Berk Geveci, Hank Childs, Silvio Rizzi:
VTK-m: Visualization for the Exascale Era and Beyond. SIGGRAPH Talks 2023: 57:1-57:2 - 2022
- [j29]Sudhanshu Sane, Christopher R. Johnson, Hank Childs:
Demonstrating the viability of Lagrangian in situ reduction on supercomputers. J. Comput. Sci. 61: 101615 (2022) - [c82]Nicole Marsaglia, Manish Mathai, Stefan Fields, Hank Childs:
Automatic In Situ Camera Placement for Isosurfaces of Large-Scale Scientific Simulations. EGPGV@EuroVis 2022: 49-59 - [c81]Nicole Marsaglia, Meghanto Majumder, Hank Childs:
A Trigger-Based Approach for Optimizing Camera Placement Over Time. ISAV@SC 2022: 14-19 - [c80]Meghanto Majumder, Nicole Marsaglia, Hank Childs:
New Triggers for Automatic Camera Placement Over Time. LDAV 2022: 1-2 - [c79]Srinivasan Ramesh, Hank Childs, Allen D. Malony:
SERVIZ: A Shared In Situ Visualization Service. SC 2022: 21:1-21:14 - [i6]Abhishek Yenpure, Sudhanshu Sane, Roba Binyahib, David Pugmire, Christoph Garth, Hank Childs:
A Guide to Particle Advection Performance. CoRR abs/2201.08440 (2022) - 2021
- [j28]Stephanie Brink, Matthew Larsen, Hank Childs, Barry Rountree:
Evaluating adaptive and predictive power management strategies for optimizing visualization performance on supercomputers. Parallel Comput. 104-105: 102782 (2021) - [j27]Kenneth Moreland, Robert Maynard, David Pugmire, Abhishek Yenpure, Allison Vacanti, Matthew Larsen, Hank Childs:
Minimizing development costs for efficient many-core visualization using MCD3. Parallel Comput. 108: 102834 (2021) - [c78]Roba Binyahib, David Pugmire, Hank Childs:
HyLiPoD: Parallel Particle Advection Via a Hybrid of Lifeline Scheduling and Parallelization-Over-Data. EGPGV@EuroVis 2021: 1-5 - [c77]Samuel D. Schwartz, Hank Childs, David Pugmire:
Machine Learning-Based Autotuning for Parallel Particle Advection. EGPGV@EuroVis 2021: 7-17 - [c76]Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Chris R. Johnson, Hank Childs:
Scalable In Situ Computation of Lagrangian Representations via Local Flow Maps. EGPGV@EuroVis 2021: 19-29 - [c75]Ryan Bleile, Patrick S. Brantley, Matthew O'Brien, Hank Childs:
A Dynamic Replication Approach for Monte Carlo Photon Transport on Heterogeneous Architectures. ICCS (1) 2021: 228-242 - [c74]Sudhanshu Sane, Chris R. Johnson, Hank Childs:
Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications. ICCS (1) 2021: 436-450 - [c73]Matthew Larsen, Cyrus Harrison, Terece L. Turton, Sudhanshu Sane, Stephanie Brink, Hank Childs:
Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis. LDAV 2021: 22-31 - [c72]Nicole Marsaglia, Yuya Kawakami, Samuel D. Schwartz, Stefan Fields, Hank Childs:
An Entropy-Based Approach for Identifying User-Preferred Camera Positions. LDAV 2021: 73-83 - 2020
- [j26]Guido Reina, Hank Childs, Kresimir Matkovic, Katja Bühler, Manuela Waldner, David Pugmire, Barbora Kozlíková, Timo Ropinski, Patric Ljung, Takayuki Itoh, M. Eduard Gröller, Michael Krone:
The moving target of visualization software for an increasingly complex world. Comput. Graph. 87: 12-29 (2020) - [j25]Sudhanshu Sane, Roxana Bujack, Christoph Garth, Hank Childs:
A Survey of Seed Placement and Streamline Selection Techniques. Comput. Graph. Forum 39(3): 785-809 (2020) - [j24]Hank Childs, Sean Ahern, James P. Ahrens, Andrew C. Bauer, Janine Bennett, E. Wes Bethel, Peer-Timo Bremer, Eric Brugger, Joseph Cottam, Matthieu Dorier, Soumya Dutta, Jean M. Favre, Thomas Fogal, Steffen Frey, Christoph Garth, Berk Geveci, William F. Godoy, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin, Silvio Rizzi, David H. Rogers, Sudhanshu Sane, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler:
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34(6) (2020) - [j23]Brenton Lessley, Hank Childs:
Data-Parallel Hashing Techniques for GPU Architectures. IEEE Trans. Parallel Distributed Syst. 31(1): 237-250 (2020) - [c71]Roba Binyahib, David Pugmire, Abhishek Yenpure, Hank Childs:
Parallel Particle Advection Bake-Off for Scientific Visualization Workloads. CLUSTER 2020: 381-391 - [c70]James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire:
Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale. LDAV 2020: 22-26 - [c69]Yuya Kawakami, Nicole Marsaglia, Matthew Larsen, Hank Childs:
Benchmarking In Situ Triggers Via Reconstruction Error. ISAV@SC 2020: 38-43 - [c68]David Pugmire, James Kress, Jieyang Chen, Hank Childs, Jong Choi, Dmitry Ganyushin, Berk Geveci, Mark Kim, Scott Klasky, Xin Liang, Jeremy Logan, Nicole Marsaglia, Kshitij Mehta, Norbert Podhorszki, Caitlin Ross, Eric Suchyta, Nick Thompson, Steven Walton, Lipeng Wan, Matthew Wolf:
Visualization as a Service for Scientific Data. SMC 2020: 157-174 - [c67]James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire:
Opportunities for Cost Savings with In-Transit Visualization. ISC 2020: 146-165 - [c66]Brenton Lessley, Shaomeng Li, Hank Childs:
HashFight: A Platform-Portable Hash Table for Multi-Core and Many-Core Architectures. Visualization and Data Analysis 2020 - [i5]Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Hank Childs:
Scalable In Situ Lagrangian Flow Map Extraction: Demonstrating the Viability of a Communication-Free Model. CoRR abs/2004.02003 (2020)
2010 – 2019
- 2019
- [j22]Hank Childs, Janine Bennett, Christoph Garth, Bernd Hentschel, Theresa-Marie Rhyne:
In Situ Visualization for Computational Science. IEEE Computer Graphics and Applications 39(6): 76-85 (2019) - [j21]Roba Binyahib, Tom Peterka, Matthew Larsen, Kwan-Liu Ma, Hank Childs:
A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume Data. IEEE Trans. Vis. Comput. Graph. 25(7): 2349-2361 (2019) - [c65]Nicole Marsaglia, Shaomeng Li, Kristi Belcher, Matthew Larsen, Hank Childs:
Dynamic I/O Budget Reallocation For In Situ Wavelet Compression. EGPGV@EuroVis 2019: 1-5 - [c64]Abhishek Yenpure, Hank Childs, Kenneth Moreland:
Efficient Point Merging Using Data Parallel Techniques. EGPGV@EuroVis 2019: 79-88 - [c63]Sudhanshu Sane, Hank Childs, Roxana Bujack:
An Interpolation Scheme for VDVP Lagrangian Basis Flows. EGPGV@EuroVis 2019: 109-119 - [c62]Ryan Bleile, Patrick S. Brantley, David F. Richards, Shawn A. Dawson, Michael Scott McKinley, Matthew O'Brien, Hank Childs:
Thin-Threads: An Approach for History-Based Monte Carlo on GPUs. HPCS 2019: 273-280 - [c61]Stephanie Labasan, Matthew Larsen, Hank Childs, Barry Rountree:
Power and Performance Tradeoffs for Visualization Algorithms. IPDPS 2019: 325-334 - [c60]Andrea Schnorr, Dirk N. Helmrich, Hank Childs, Torsten W. Kuhlen, Bernd Hentschel:
Feature Tracking Utilizing a Maximum-Weight Independent Set Problem. LDAV 2019: 6-15 - [c59]Roba Binyahib, David Pugmire, Boyana Norris, Hank Childs:
A Lifeline-Based Approach for Work Requesting and Parallel Particle Advection. LDAV 2019: 52-61 - [c58]Allen D. Malony, Matthew Larsen, Kevin A. Huck, Chad Wood, Sudhanshu Sane, Hank Childs:
When Parallel Performance Measurement and Analysis Meets In Situ Analytics and Visualization. PARCO 2019: 521-530 - [c57]Roba Binyahib, David Pugmire, Hank Childs:
In situ particle advection via parallelizing over particles. ISAV@SC 2019: 29-33 - [c56]James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire:
Comparing the Efficiency of In Situ Visualization Paradigms at Scale. ISC 2019: 99-117 - [e6]Hank Childs, Steffen Frey:
19th Eurographics Symposium on Parallel Graphics and Visualization, EGPGV@EuroVis 2019, Porto, Portugal, June 3-4, 2019. Eurographics Association 2019, ISBN 978-3-03868-079-6 [contents] - [i4]Hank Childs, Takayuki Itoh, Michael Krone, Guido Reina:
The Moving Target of Visualization Software for an Ever More Complex World (NII Shonan Meeting 145). NII Shonan Meet. Rep. 2019 (2019) - 2018
- [j20]Shaomeng Li, Nicole Marsaglia, Christoph Garth, Jonathan Woodring, John P. Clyne, Hank Childs:
Data Reduction Techniques for Simulation, Visualization and Data Analysis. Comput. Graph. Forum 37(6): 422-447 (2018) - [c55]David Pugmire, Abhishek Yenpure, Mark Kim, James Kress, Robert Maynard, Hank Childs, Bernd Hentschel:
Performance-Portable Particle Advection with VTK-m. EGPGV@EuroVis 2018: 45-55 - [c54]Sudhanshu Sane, Roxana Bujack, Hank Childs:
Revisiting the Evaluation of In Situ Lagrangian Analysis. EGPGV@EuroVis 2018: 63-67 - [c53]Brenton Lessley, Talita Perciano, Colleen Heinemann, David Camp, Hank Childs, E. Wes Bethel:
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives. LDAV 2018: 34-44 - [c52]Matthew Larsen, Amy Woods, Nicole Marsaglia, Ayan Biswas, Soumya Dutta, Cyrus Harrison, Hank Childs:
A flexible system for in situ triggers. ISAV@SC 2018: 1-6 - [c51]James Kress, Jong Choi, Scott Klasky, Michael Churchill, Hank Childs, David Pugmire:
Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation. ISC Workshops 2018: 215-229 - [c50]Nicole Marsaglia, Shaomeng Li, Hank Childs:
Enabling Explorative Visualization with Full Temporal Resolution via In Situ Calculation of Temporal Intervals. ISC Workshops 2018: 273-293 - [e5]Hank Childs, Fernando M. Cucchietti:
18th Eurographics Symposium on Parallel Graphics and Visualization, EGPGV@EuroVis 2018, Brno, Czech Republic, June 4, 2018. Eurographics Association 2018, ISBN 978-3-03868-054-3 [contents] - [i3]Brenton Lessley, Talita Perciano, Colleen Heinemann, David Camp, Hank Childs, E. Wes Bethel:
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives. CoRR abs/1809.05018 (2018) - [i2]Janine C. Bennett, Hank Childs, Christoph Garth, Bernd Hentschel:
In Situ Visualization for Computational Science (Dagstuhl Seminar 18271). Dagstuhl Reports 8(7): 1-43 (2018) - 2017
- [c49]Shaomeng Li, Sudhanshu Sane, Leigh Orf, Pablo D. Mininni, John P. Clyne, Hank Childs:
Spatiotemporal Wavelet Compression for Visualization of Scientific Simulation Data. CLUSTER 2017: 216-227 - [c48]Stephanie Labasan, Matthew Larsen, Hank Childs, Barry Rountree:
PaViz: A Power-Adaptive Framework for Optimizing Visualization Performance. EGPGV@EuroVis 2017: 1-10 - [c47]Shaomeng Li, Nicole Marsaglia, Vincent Chen, Christopher M. Sewell, John P. Clyne, Hank Childs:
Achieving Portable Performance For Wavelet Compression Using Data Parallel Primitives. EGPGV@EuroVis 2017: 73-81 - [c46]Brenton Lessley, Kenneth Moreland, Matthew Larsen, Hank Childs:
Techniques for data-parallel searching for duplicate elements. LDAV 2017: 1-5 - [c45]Brenton Lessley, Talita Perciano, Manish Mathai, Hank Childs, E. Wes Bethel:
Maximal clique enumeration with data-parallel primitives. LDAV 2017: 16-25 - [c44]Shaomeng Li, Matthew Larsen, John P. Clyne, Hank Childs:
Performance Impacts of In Situ Wavelet Compression on Scientific Simulations. ISAV@SC 2017: 37-41 - [c43]Matthew Larsen, James P. Ahrens, Utkarsh Ayachit, Eric Brugger, Hank Childs, Berk Geveci, Cyrus Harrison:
The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman. ISAV@SC 2017: 42-46 - [c42]Ryan Bleile, Linda Sugiyama, Christoph Garth, Hank Childs:
Accelerating advection via approximate block exterior flow maps. Visualization and Data Analysis 2017: 140-148 - 2016
- [j19]Kenneth Moreland, Christopher M. Sewell, William Usher, Li-Ta Lo, Jeremy S. Meredith, David Pugmire, James Kress, Hendrik A. Schroots, Kwan-Liu Ma, Hank Childs, Matthew Larsen, Chun-Ming Chen, Robert Maynard, Berk Geveci:
VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures. IEEE Computer Graphics and Applications 36(3): 48-58 (2016) - [j18]Andrew C. Bauer, Hasan Abbasi, James P. Ahrens, Hank Childs, Berk Geveci, Scott Klasky, Kenneth Moreland, Patrick O'Leary, Venkatram Vishwanath, Brad Whitlock, E. Wes Bethel:
In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms. Comput. Graph. Forum 35(3): 577-597 (2016) - [j17]Hank Childs, Franck Cappello:
Preface: Visualization and data analytics for scientific discovery. Parallel Comput. 55: 1 (2016) - [j16]James Kress, Randy Michael Churchill, Scott Klasky, Mark Kim, Hank Childs, David Pugmire:
Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers. Supercomput. Front. Innov. 3(4): 49-65 (2016) - [c41]Brenton Lessley, Roba Binyahib, Robert Maynard, Hank Childs:
External Facelist Calculation with Data-Parallel Primitives. EGPGV@EuroVis 2016: 11-20 - [c40]David Pugmire, James Kress, Jong Youl Choi, Scott Klasky, Tahsin M. Kurç, Michael Churchill, Matthew Wolf, Greg Eisenhauer, Hank Childs, Kesheng Wu, Alexander Sim, Junmin Gu, Jonathan Low:
Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. IPDPS Workshops 2016: 1007-1013 - [c39]Matthew Larsen, Kenneth Moreland, Chris R. Johnson, Hank Childs:
Optimizing multi-image sort-last parallel rendering. LDAV 2016: 37-46 - [c38]James Kress, David Pugmire, Scott Klasky, Hank Childs:
Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code. ISAV@SC 2016: 45-50 - [c37]Matthew Larsen, Cyrus Harrison, James Kress, David Pugmire, Jeremy S. Meredith, Hank Childs:
Performance modeling of in situ rendering. SC 2016: 276-287 - 2015
- [j15]Hank Childs:
Data Exploration at the Exascale. Supercomput. Front. Innov. 2(3): 5-13 (2015) - [j14]Kenneth Moreland, Matthew Larsen, Hank Childs:
Visualization for Exascale: Portable Performance is Critical. Supercomput. Front. Innov. 2(3): 67-75 (2015) - [c36]Matthew Larsen, Jeremy S. Meredith, Paul A. Navrátil, Hank Childs:
Ray tracing within a data parallel framework. PacificVis 2015: 279-286 - [c35]Matthew Larsen, Stephanie Labasan, Paul A. Navrátil, Jeremy S. Meredith, Hank Childs:
Volume Rendering Via Data-Parallel Primitives. EGPGV@EuroVis 2015: 53-62 - [c34]Stephanie Labasan, Matthew Larsen, Hank Childs:
Exploring tradeoffs between power and performance for a scientific visualization algorithm. LDAV 2015: 73-80 - [c33]Shaomeng Li, Kenny Gruchalla, Kristin Potter, John P. Clyne, Hank Childs:
Evaluating the efficacy of wavelet configurations on turbulent-flow data. LDAV 2015: 81-89 - [c32]James Kress, Erik Anderson, Hank Childs:
A visualization pipeline for large-scale tractography data. LDAV 2015: 115-123 - [c31]James Kress, Scott Klasky, Norbert Podhorszki, Jong Youl Choi, Hank Childs, David Pugmire:
Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay. ISAV@SC 2015: 1-6 - [c30]Matthew Larsen, Eric Brugger, Hank Childs, Jim Eliot, Kevin S. Griffin, Cyrus Harrison:
Strawman: A Batch In Situ Visualization and Analysis Infrastructure for Multi-Physics Simulation Codes. ISAV@SC 2015: 30-35 - [c29]Alexy Agranovsky, David Camp, Kenneth I. Joy, Hank Childs:
Subsampling-based compression and flow visualization. Visualization and Data Analysis 2015: 93970J - [c28]Shaomeng Li, R. Jordan Crouser, Garth Griffin, Connor Gramazio, Hans-Jörg Schulz, Hank Childs, Remco Chang:
Exploring hierarchical visualization designs using phylogenetic trees. Visualization and Data Analysis 2015: 939709 - [p8]Cyrus Harrison, Jordan Weiler, Ryan Bleile, Kelly P. Gaither, Hank Childs:
A Distributed-Memory Algorithm for Connected Components Labeling of Simulation Data. Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces 2015: 3-19 - [e4]Janine Bennett, Hank Childs, Markus Hadwiger:
5th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2015, Chicago, IL, USA, October 25-26, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-8517-6 [contents] - 2014
- [j13]Paul A. Navrátil, Hank Childs, Donald S. Fussell, Calvin Lin:
Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-MemoryRay Tracing. IEEE Trans. Vis. Comput. Graph. 20(6): 893-906 (2014) - [c27]Hank Childs, Scott Biersdorff, David Poliakoff, David Camp, Allen D. Malony:
Particle advection performance over varied architectures and workloads. HiPC 2014: 1-10 - [c26]Alexy Agranovsky, David Camp, Christoph Garth, E. Wes Bethel, Kenneth I. Joy, Hank Childs:
Improved post hoc flow analysis via Lagrangian representations. LDAV 2014: 67-75 - [c25]Kevin A. Huck, Kristin Potter, Doug W. Jacobsen, Hank Childs, Allen D. Malony:
Linking performance data into scientific visualization tools. VPA@SC 2014: 50-57 - [e3]Hank Childs, Renato Pajarola, Venkatram Vishwanath:
4th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2014, Paris, France, November 9-10, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-5215-1 [contents] - 2013
- [j12]Hank Childs, Berk Geveci, William J. Schroeder, Jeremy S. Meredith, Kenneth Moreland, Christopher M. Sewell, Torsten W. Kuhlen, E. Wes Bethel:
Research Challenges for Visualization Software. Computer 46(5): 34-42 (2013) - [j11]Dean N. Williams, Peer-Timo Bremer, Charles M. Doutriaux, John Patchett, Sean Williams, Galen M. Shipman, Ross Miller, David Pugmire, Brian E. Smith, Chad A. Steed, E. Wes Bethel, Hank Childs, Harinarayan Krishnan, Prabhat, Michael F. Wehner, Cláudio T. Silva, Emanuele Santos, David Koop, Tommy Ellqvist, Jorge Poco, Berk Geveci, Aashish Chaudhary, Andy Bauer, Alexander Pletzer, Dave Kindig, Gerald Potter, Thomas P. Maxwell:
Ultrascale Visualization of Climate Data. Computer 46(9): 68-76 (2013) - [j10]Luke J. Gosink, Kevin Bensema, Trenton Pulsipher, Harald Obermaier, Michael J. Henry, Hank Childs, Kenneth I. Joy:
Characterizing and Visualizing Predictive Uncertainty in Numerical Ensembles Through Bayesian Model Averaging. IEEE Trans. Vis. Comput. Graph. 19(12): 2703-2712 (2013) - [c24]David Camp, Harinarayan Krishnan, David Pugmire, Christoph Garth, Ian Johnson, E. Wes Bethel, Kenneth I. Joy, Hank Childs:
GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting. EGPGV@Eurographics 2013: 1-8 - [c23]Hari Krishnan, Cyrus Harrison, Brad Whitlock, David Pugmire, Hank Childs:
Exploring Collaborative HPC Visualization Workflows using VisIt and Python. SciPy 2013: 65-69 - [i1]Sean Ahern, Eric Brugger, Brad Whitlock, Jeremy S. Meredith, Kathleen Biagas, Mark C. Miller, Hank Childs:
VisIt: Experiences with Sustainable Software. CoRR abs/1309.1796 (2013) - 2012
- [j9]Kelly P. Gaither, Hank Childs, Karl W. Schulz, Cyrus Harrison, William L. Barth, Diego Donzis, Pui-Kuen Yeung:
Visual Analytics for Finding Critical Structures in Massive Time-Varying Turbulent-Flow Simulations. IEEE Computer Graphics and Applications 32(4): 34-45 (2012) - [j8]Harinarayan Krishnan, Joerg Meyer, Alexandru Romosan, Hank Childs, E. Wes Bethel:
Enabling advanced environmental management via remote and distributed visual data exploration and analysis. Comput. Vis. Sci. 15(3): 123-133 (2012) - [j7]Mark Howison, E. Wes Bethel, Hank Childs:
Hybrid Parallelism for Volume Rendering on Large-, Multi-, and Many-Core Systems. IEEE Trans. Vis. Comput. Graph. 18(1): 17-29 (2012) - [c22]Paul A. Navrátil, Donald S. Fussell, Calvin Lin, Hank Childs:
Dynamic Scheduling for Large-Scale Distributed-Memory Ray Tracing. EGPGV@Eurographics 2012: 61-70 - [c21]Gunther H. Weber, Hank Childs, Jeremy S. Meredith:
Efficient parallel extraction of crack-free isosurfaces from adaptive mesh refinement (AMR) data. LDAV 2012: 31-38 - [c20]David Camp, Christoph Garth, Hank Childs, David Pugmire, Kenneth I. Joy:
Parallel stream surface computation for large data sets. LDAV 2012: 39-47 - [c19]Paul A. Navrátil, Bill Barth, Hank Childs:
Virtual rheoscopic fluids for dense, large-scale fluid flow visualizations. LDAV 2012: 79-84 - [c18]Cyrus Harrison, Paul A. Navrátil, Maysam Moussalem, Ming Jiang, Hank Childs:
Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python. SC Companion 2012: 583-592 - [c17]Paul A. Navrátil, William L. Barth, Hank Childs:
Virtual Rheoscopic Fluid for Large Dynamics Visualization. SC Companion 2012: 1581 - [c16]Allen R. Sanderson, Brad Whitlock, Oliver Rübel, Hank Childs, Gunther H. Weber, Prabhat, Kenseng Wu:
A System for Query Based Analysis and Visualization. EuroVA@EuroVis 2012 - [p7]E. Wes Bethel, David Camp, Hank Childs, Christoph Garth, Mark Howison, Kenneth I. Joy, David Pugmire:
Hybrid Parallelism. High Performance Visualization 2012 - [p6]Hank Childs:
Parallel Visualization Frameworks. High Performance Visualization 2012 - [p5]Hank Childs, Eric Brugger, Brad Whitlock, Jeremy S. Meredith, Sean Ahern, David Pugmire, Kathleen Biagas, Mark C. Miller, Cyrus Harrison, Gunther H. Weber, Hari Krishnan, Thomas Fogal, Allen R. Sanderson, Christoph Garth, E. Wes Bethel, David Camp, Oliver Rübel, Marc Durant, Jean M. Favre, Paul A. Navrátil:
VisIt. High Performance Visualization 2012 - [p4]Hank Childs, Kwan-Liu Ma, Hongfeng Yu, Brad Whitlock, Jeremy S. Meredith, Jean M. Favre, Scott Klasky, Norbert Podhorszki, Karsten Schwan, Matthew Wolf, Manish Parashar, Fan Zhang:
In Situ Processing. High Performance Visualization 2012 - [p3]