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Bio and Awards
Publications
Teaching
Advising
Service
Textbooks
Calendar
CV
This page contains some of my recent and favorite publications.
The following resources complement this page:
- My Google Scholar page, which includes information about citations
- My DBLP page
- The CDUX publications page, which frequently contains PDFs
- My CV, which contains a complete listing of publications
Minimizing Development Costs for Efficient Many-Core Visualization Using MCD3
Kenneth Moreland, Robert Maynard, David Pugmire,
Abhishek Yenpure,
Allison Vacanti,
Matthew Larsen, and
Hank Childs
Parallel Computing, December 2021
[PDF] [BIB]
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An Entropy-Based Approach for Identifying User-Preferred Camera Positions
Nicole Marsaglia,
Yuya Kawakami,
Samuel D. Schwartz,
Stefan Fields,
and
Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), New Orleans, LA, October 2021
[PDF] [BIB]
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Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis
Matthew Larsen,
Cyrus Harrison, Terece L. Turton,
Sudhanshu Sane,
Stephanie Brink,
and Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), New Orleans, LA, October 2021
[PDF] [BIB]
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Evaluating Adaptive and Predictive Power Management Strategies for Optimizing Visualization Performance on Supercomputers
Stephanie Brink,
Matthew Larsen,
Hank Childs,
and Barry Rountree
Parallel Computing, July 2021
[PDF] [BIB]
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Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications
Sudhanshu Sane,
Christopher R. Johnson,
and Hank Childs
International Conference on Computational Science (ICCS), Krakow, Poland, June 2021
Best Paper, Main Track
[PDF] [BIB]
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A Dynamic Replication Approach for Monte Carlo Photon Transport on Heterogeneous Architectures
Ryan Bleile,
Patrick Brantley, Matthew O'Brien, and
Hank Childs
International Conference on Computational Science (ICCS), Krakow, Poland, June 2021
[PDF] [BIB]
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Machine Learning-Based Autotuning for Parallel Particle Advection
Samuel D. Schwartz,
Hank Childs,
and David Pugmire
Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Zurich, Switzerland, June 2021
[PDF] [BIB]
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Scalable In Situ Computation of Lagrangian Representations via Local Flow Maps
Sudhanshu Sane,
Abhishek Yenpure,
Roxana Bujack,
Matt Larsen,
Ken Moreland,
Christoph Garth,
Christopher R. Johnson,
and Hank Childs
Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Zurich, Switzerland, June 2021
Best Paper
[PDF] [BIB]
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HyLiPoD: Parallel Particle Advection Via a Hybrid of Lifeline Scheduling and Parallelization-Over-Data
Roba Binyahib,
David Pugmire,
and
Hank Childs
Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Zurich, Switzerland, June 2021
Best Short Paper
[PDF] [BIB]
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A Terminology for In Situ Visualization and Analysis Systems
Community paper with 57 authors, including
Hank Childs (lead author),
James Kress,
Matt Larsen, and
Sudhanshu Sane
International Journal of High Performance Computing Applications (IJHPCA), November 2020
[PDF] [BIB]
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Benchmarking In Situ Triggers Via Reconstruction Error
Yuya Kawakami,
Nicole Marsaglia,
Matt Larsen,
and
Hank Childs
ISAV 2020: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization, Atlanta GA, November 2020
[PDF] [BIB]
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Parallel Particle Advection Bake-Off for Scientific Visualization Workloads
Roba Binyahib,
David Pugmire,
Abhishek Yenpure,
and Hank Childs
IEEE Cluster Conference, Kobe, Japan, September 2020
[PDF] [BIB]
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Opportunities for Cost Savings with In Transit Visualization
James Kress,
Matt Larsen,
Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky,
Hank Childs,
and David Pugmire
ISC High Performance Conference, Frankfurt, Germany, June 2020
[PDF] [BIB]
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A Survey of Seed Placement and Streamline Selection Techniques
Sudhanshu Sane,
Roxana Bujack,
Christoph Garth,
and Hank Childs
Computer Graphics Forum (EuroVis State-of-the-Art Report), Norrkoping, Sweden, May 2020
[PDF] [BIB]
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Data-Parallel Hashing Techniques for GPU Architectures
Brenton Lessley and
Hank Childs
IEEE Transactions on Parallel and Distributed Systems, January 2020
[LINK] [BIB]
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A Lifeline-Based Approach for Work Requesting and Parallel Particle Advection
Roba Binyahib,
David Pugmire, Boyana Norris,
and Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), Vancouver, Canada, October 2019
Best Paper Honorable Mention
[PDF] [BIB]
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A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume Data
Roba Binyahib, Tom Peterka,
Matthew Larsen,
Kwan-Liu Ma,
and Hank Childs
IEEE Transactions on Visualization and Computer Graphics, July 2019
[PDF] [BIB]
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Comparing the Efficiency of In Situ Visualization Paradigms at Scale
James Kress,
Matthew Larsen,
Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky,
Hank Childs,
and David Pugmire
ISC High Performance Conference, Frankfurt, Germany, June 2019
[PDF] [BIB]
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Efficient Point Merge Using Data Parallel Techniques
Abhishek Yenpure,
Hank Childs,
and Ken Moreland
Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Porto, Portugal, June 2019
[PDF] [BIB]
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An Interpolation Scheme for VDVP Lagrangian Basis Flows
Sudhanshu Sane,
Hank Childs,
and Roxana Bujack
Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Porto, Portugal, June 2019
[PDF] [BIB]
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Power and Performance Tradeoffs for Visualization Algorithms
Stephanie Labasan,
Matt Larsen,
Hank Childs,
and Barry Rountree
IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil, May 2019
[PDF] [BIB]
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In Situ Visualization for Computational Science (Dagstuhl Seminar 18271)
Janine Bennett,
Hank Childs,
Christoph Garth, and Bernd Hentschel
Dagstuhl Reports, February 2019
[PDF] [BIB]
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A Flexible System For In Situ Triggers
Matt Larsen,
Amy Woods, Nicole Marsaglia, Ayan Biswas, Soumya Dutta, Cyrus Harrison, and
Hank Childs
ISAV 2018: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization, Dallas, TX, November 2018
Best Paper
[PDF] [BIB]
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DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives
Brenton Lessley,
Talita Perciano, Colleen Heinemann, David Camp,
Hank Childs,
and E. Wes Bethel
IEEE Symposium on Large Data Analysis and Visualization (LDAV), Berlin, Germany, October 2018
[PDF] [BIB]
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Data Reduction Techniques for Simulation, Visualization, and Data Analysis
Samuel Li,
Nicole Marsaglia,
Christoph Garth, Jon Woodring, John Clyne, and
Hank Childs
Computer Graphics Forum, September 2018
[PDF] [BIB]
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Maximal Clique Enumeration with Data-Parallel Primitives
Brent Lessley,
Talita Perciano,
Manish Mathai,
Hank Childs, and
E. Wes Bethel
IEEE Symposium on Large Data Analysis and Visualization (LDAV), Phoenix, AZ, October 2017
[PDF] [BIB]
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Spatiotemporal Wavelet Compression for Visualization of Scientific Simulation Data
Samuel Li,
Sudhanshu Sane,
Leigh Orf, Pablo Mininni, John Clyne, and
Hank Childs
IEEE Cluster Conference, Honolulu, HI, September 2017
[PDF] [BIB]
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PaViz: A Power-Adaptive Framework for Optimizing Visualization Performance
Stephanie Labasan,
Matt Larsen,
Hank Childs,
and Barry Rountree
Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Barcelona, Spain, June 2017
[PDF] [BIB]
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Performance Modeling of In Situ Rendering
Matthew Larsen,
Cyrus Harrison,
James Kress,
David Pugmire, Jeremy S. Meredith,
and Hank Childs
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC16), Salt Lake City, UT, November 2016
Best Paper Finalist
[PDF] [BIB]
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Optimizing Multi-Image Sort-Last Parallel Rendering
Matthew Larsen,
Ken Moreland, Chris Johnson, and
Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), Baltimore, MD, October 2016
[PDF] [BIB]
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External Facelist Calculation with Data-Parallel Primitives
Brent Lessley,
Roba Binyahib,
Robert Maynard,
and Hank Childs
EuroGraphics Symposium on Parallel Graphics and Visualization (EGPGV), Groningen, The Netherlands, June 2016
[PDF] [BIB]
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VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures
Ken Moreland,
Chris Sewell, William Usher, Li-ta Lo, Jeremy Meredith, Dave Pugmire,
James Kress,
Hendrik Schroots, Kwan-Liu Ma,
Matt Larsen,
Hank Childs,
Chun-Ming Chen, Robert Maynard, and Berk Geveci
Computer Graphics and Applications, May/June 2016
[LINK] [BIB]
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Exploring Tradeoffs Between Power and Performance for a Scientific Visualization Algorithm
Stephanie Labasan,
Matthew Larsen,
and Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), Chicago, IL, October 2015
[PDF] [BIB]
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Evaluating the Efficacy of Wavelet Configurations on Turbulent-Flow Data
Samuel Li,
Kenny Gruchalla, Kristi Potter, John Clyne, and
Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), Chicago, IL, October 2015
[PDF] [BIB]
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Volume Rendering Via Data-Parallel Primitives
Matthew Larsen,
Stephanie Labasan,
Paul Navratil, Jeremy Meredith,
and
Hank Childs
EuroGraphics Symposium on Parallel Graphics and Visualization (EGPGV), Cagliari, Italy, May 2015
[PDF] [BIB]
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Ray-Tracing Within a Data Parallel Framework
Matthew Larsen,
Jeremy Meredith, Paul Navratil, and
Hank Childs
IEEE Pacific Visualization, Hangzhou, China, April 2015
[PDF] [BIB]
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Improved Post Hoc Flow Analysis Via Lagrangian Representations
Alexy Agranovsky,
David Camp, Christoph Garth, Wes Bethel, Kenneth I. Joy,
and Hank Childs
IEEE Large Data Analysis and Visualization (LDAV), Paris, France, November 2014
Best Paper
[PDF] [BIB]
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Dynamic Scheduling for Large-Scale Distributed-Memory Ray Tracing
Paul Navratil,
Donald Fussell,
Calvin Lin,
and Hank Childs
EGPGV, Cagliari, Italy, May 2012
Best Paper
[PDF] [BIB]
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Streamline Integration Using MPI-Hybrid Parallelism on a Large Multicore Architecture
David Camp,
Christoph Garth,
Hank Childs,
David Pugmire, and
Kenneth I. Joy
IEEE Transactions on Visualization and Computer Graphics (TVCG), November 2011
[PDF] [BIB]
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VisIt: An End-User Tool For Visualizing and Analyzing Very Large Data
Hank Childs,
Eric Brugger, Brad Whitlock, Jeremy Meredith, Sean Ahern, Kathleen Bonnell, Mark Miller, Gunther H. Weber, Cyrus Harrison, David Pugmire, Thomas Fogal, Christoph Garth, Allen Sanderson, E. Wes Bethel, Marc Durant, David Camp, Jean M. Favre, Oliver Ruebel, Paul Navratil, Matthew Wheeler, Paul Selby, and Fabien Vivodtzev
DOE SciDAC Conference, Denver, CO, July 2011
[PDF] [BIB]
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MPI-hybrid Parallelism for Volume Rendering on Large, Multi-core Systems
Mark Howison,
Wes Bethel, and
Hank Childs
EGPGV, Norrkoping, Sweden, May 2010
Best Paper
[PDF] [BIB]
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Extreme Scaling of Production Visualization Software on Diverse Architectures
Hank Childs,
David Pugmire,
Sean Ahern,
Brad Whitlock,
Mark Howison,
Prabhat,
Gunther Weber, and
Wes Bethel
IEEE Computer Graphics and Applications (CG&A), May 2010
[PDF] [BIB]
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Scalable Computation of Streamlines on Very Large Datasets
David Pugmire,
Hank Childs,
Christoph Garth,
Sean Ahern, and
Gunther Weber
ACM/IEEE Conference on High Performance Computing (SC09), Portland, OR, November 2009
[PDF] [BIB]
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A Scalable, Hybrid Scheme for Volume Rendering Massive Data Sets
Hank Childs,
Mark Duchaineau, and
Kwan-Liu Ma
EGPGV, Braga, Portugal, May 2006
[PDF] [BIB]
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A Contract-Based System for Large Data Visualization
Hank Childs,
Eric Brugger, Kathleen Bonnell,
Jeremy Meredith,
Mark Miller, Brad Whitlock, and
Nelson Max
IEEE Visualization, Minneapolis, MN, October 2005
[PDF] [BIB]
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