Using quadratic simplicial elements for hierarchical approximation and visualization. - David F. Wiley; Henry R. Childs; Bernd Hamann; Kenneth I. Joy; Nelson Max (Visualization and Data Analysis, 2002)

Best Quadratic Spline Approximation for Hierarchical Visualization. - David F. Wiley; Henry R. Childs; Bernd Hamann; Kenneth I. Joy; Nelson L. Max (VisSym, 2002)

Contouring Curved Quadratic Elements. - David F. Wiley; Henry R. Childs; Benjamin F. Gregorski; Bernd Hamann; Kenneth I. Joy (VisSym, 2003)

Ray Casting Curved-Quadratic Elements. - David F. Wiley; Henry R. Childs; Bernd Hamann; Kenneth I. Joy (VisSym, 2004)

A Contract Based System For Large Data Visualization. - Hank Childs; Eric Brugger; Kathleen S. Bonnell; Jeremy S. Meredith; Mark C. Miller; Brad Whitlock; Nelson Max (IEEE Visualization, 2005)

A Scalable, Hybrid Scheme for Volume Rendering Massive Data Sets. - Hank Childs; Mark A. Duchaineau; Kwan-Liu Ma (EGPGV@EuroVis/EGVE, 2006)

Ultra-scale visualization - Workshop on ultra-scale visualization. - James P. Ahrens; Hank Childs; John P. Clyne; Wes Bethel; Jian Huang 007; Scott Klasky; Kwan-Liu Ma; Kenneth Moreland; Michael E. Papka; Valerio Pascucci; Han-Wei Shen; Deborah Silver (SC, 2006)

As-Built Modeling of Objects for Performance Assessment. - Edwin J. Kokko; Harry E. Martz; Diane J. Chinn; Henry R. Childs; Jessie A. Jackson; David H. Chambers; Daniel J. Schneberk; Grace A. Clark (J. Comput. Inf. Sci. Eng., 2006)

Why Petascale Visualization and Analysis Will Change the Rules. - Hank Childs (ICCS (1), 2008)

High performance multivariate visual data exploration for extremely large data. - Oliver Rübel; Prabhat; Kesheng Wu; Hank Childs; Jeremy S. Meredith; Cameron G. R. Geddes; Estelle Cormier-Michel; Sean Ahern; Gunther H. Weber; Peter Messmer; Hans Hagen; Bernd Hamann; et al. (SC, 2008)

Scientific Data Management Challenges in High-Performance Visual Data Analysis. - E. Wes Bethel; Hank Childs; Ajith Mascarenhas; Valerio Pascucci (Scientific Data Management, 2009)

Scalable computation of streamlines on very large datasets. - David Pugmire; Hank Childs; Christoph Garth; Sean Ahern; Gunther H. Weber (SC, 2009)

Large data visualization on distributed memory multi-GPU clusters. - Thomas Fogal; Hank Childs; Siddharth Shankar; Jens H. Krüger; R. Daniel Bergeron; Philip J. Hatcher (High Performance Graphics, 2010)

MPI-hybrid Parallelism for Volume Rendering on Large, Multi-core Systems. - Mark Howison; E. Wes Bethel; Hank Childs (EGPGV@Eurographics, 2010)

Extreme Scaling of Production Visualization Software on Diverse Architectures. - Hank Childs; David Pugmire; Sean Ahern; Brad Whitlock; Mark Howison; Prabhat; Gunther H. Weber; E. Wes Bethel (IEEE Computer Graphics and Applications, 2010)

Parallel and Streaming Generation of Ghost Data for Structured Grids. - Martin Isenburg; Peter Lindstrom 001; Hank Childs (IEEE Computer Graphics and Applications, 2010)

Visualization and Analysis-Oriented Reconstruction of Material Interfaces. - Jeremy S. Meredith; Hank Childs (Comput. Graph. Forum, 2010)

Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data. - Oliver Rübel; Sean Ahern; E. Wes Bethel; Mark D. Biggin; Hank Childs; Estelle Cormier-Michel; Angela H. DePace; Michael B. Eisen; Charless C. Fowlkes; Cameron G. R. Geddes; Hans Hagen; Bernd Hamann; et al. (ICCS, 2010)

Comparative Visualization Using Cross-Mesh Field Evaluations and Derived Quantities. - Hank Childs; Sean Ahern; Jeremy S. Meredith; Mark C. Miller; Kenneth I. Joy (Scientific Visualization: Interactions, Features, Metaphors, 2011)

Data-Parallel Mesh Connected Components Labeling and Analysis. - Cyrus Harrison; Hank Childs; Kelly P. Gaither (EGPGV@Eurographics, 2011)

Evaluating the benefits of an extended memory hierarchy for parallel streamline algorithms. - David Camp; Hank Childs; Amit Chourasia; Christoph Garth; Kenneth I. Joy (LDAV, 2011)

Visualization at Supercomputing Centers: The Tale of Little Big Iron and the Three Skinny Guys. - E. Wes Bethel; John Van Rosendale; Dale Southard; Kelly P. Gaither; Hank Childs; Eric Brugger; Sean Ahern (IEEE Computer Graphics and Applications, 2011)

Streamline Integration Using MPI-Hybrid Parallelism on a Large Multicore Architecture. - David Camp; Christoph Garth; Hank Childs; David Pugmire; Kenneth I. Joy (IEEE Trans. Vis. Comput. Graph., 2011)

Hybrid Parallelism. - E. Wes Bethel; David Camp; Hank Childs; Christoph Garth; Mark Howison; Kenneth I. Joy; David Pugmire (High Performance Visualization, 2012)

Parallel Visualization Frameworks. - Hank Childs (High Performance Visualization, 2012)

VisIt. - 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; et al. (High Performance Visualization, 2012)

In Situ Processing. - Hank Childs; Kwan-Liu Ma; Hongfeng Yu 001; Brad Whitlock; Jeremy S. Meredith; Jean M. Favre; Scott Klasky; Norbert Podhorszki; Karsten Schwan; Matthew Wolf; Manish Parashar; Fan Zhang 004 (High Performance Visualization, 2012)

Visualization at Extreme Scale Concurrency. - Hank Childs; David Pugmire; Sean Ahern; Brad Whitlock; Mark Howison; Gunther H. Weber; E. Wes Bethel (High Performance Visualization, 2012)

Dynamic Scheduling for Large-Scale Distributed-Memory Ray Tracing. - Paul A. Navrátil; Donald S. Fussell; Calvin Lin; Hank Childs (EGPGV@Eurographics, 2012)

Parallel stream surface computation for large data sets. - David Camp; Christoph Garth; Hank Childs; David Pugmire; Kenneth I. Joy (LDAV, 2012)

Virtual rheoscopic fluids for dense, large-scale fluid flow visualizations. - Paul A. Navrátil; Bill Barth; Hank Childs (LDAV, 2012)

Efficient parallel extraction of crack-free isosurfaces from adaptive mesh refinement (AMR) data. - Gunther H. Weber; Hank Childs; Jeremy S. Meredith (LDAV, 2012)

Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python. - Cyrus Harrison; Paul A. Navrátil; Maysam Moussalem; Ming Jiang 005; Hank Childs (SC Companion, 2012)

Virtual Rheoscopic Fluid for Large Dynamics Visualization. - Paul A. Navrátil; William L. Barth; Hank Childs (SC Companion, 2012)

A System for Query Based Analysis and Visualization. - Allen R. Sanderson; Brad Whitlock; Oliver Rübel; Hank Childs; Gunther H. Weber; Prabhat; Kenseng Wu (EuroVA@EuroVis, 2012)

Visual Analytics for Finding Critical Structures in Massive Time-Varying Turbulent-Flow Simulations. - Kelly P. Gaither; Hank Childs; Karl W. Schulz; Cyrus Harrison; William L. Barth; Diego Donzis; Pui-Kuen Yeung (IEEE Computer Graphics and Applications, 2012)

Enabling advanced environmental management via remote and distributed visual data exploration and analysis. - Harinarayan Krishnan; Joerg Meyer; Alexandru Romosan; Hank Childs; E. Wes Bethel (Comput. Vis. Sci., 2012)

Hybrid Parallelism for Volume Rendering on Large-, Multi-, and Many-Core Systems. - Mark Howison; E. Wes Bethel; Hank Childs (IEEE Trans. Vis. Comput. Graph., 2012)

GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting. - David Camp; Harinarayan Krishnan; David Pugmire; Christoph Garth; Ian Johnson; E. Wes Bethel; Kenneth I. Joy; Hank Childs (EGPGV@Eurographics, 2013)

Exploring Collaborative HPC Visualization Workflows using VisIt and Python. - Hari Krishnan; Cyrus Harrison; Brad Whitlock; David Pugmire; Hank Childs (SciPy, 2013)

Research Challenges for Visualization Software. - Hank Childs; Berk Geveci; William J. Schroeder; Jeremy S. Meredith; Kenneth Moreland; Christopher M. Sewell; Torsten W. Kuhlen; E. Wes Bethel (Computer, 2013)

Ultrascale Visualization of Climate Data. - 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; et al. (Computer, 2013)

VisIt: Experiences with Sustainable Software. - Sean Ahern; Eric Brugger; Brad Whitlock; Jeremy S. Meredith; Kathleen Biagas; Mark C. Miller; Hank Childs (CoRR, 2013)

Characterizing and Visualizing Predictive Uncertainty in Numerical Ensembles Through Bayesian Model Averaging. - Luke J. Gosink; Kevin Bensema; Trenton Pulsipher; Harald Obermaier; Michael J. Henry; Hank Childs; Kenneth I. Joy (IEEE Trans. Vis. Comput. Graph., 2013)

Particle advection performance over varied architectures and workloads. - Hank Childs; Scott Biersdorff; David Poliakoff; David Camp; Allen D. Malony (HiPC, 2014)

Improved post hoc flow analysis via Lagrangian representations. - Alexy Agranovsky; David Camp; Christoph Garth; E. Wes Bethel; Kenneth I. Joy; Hank Childs (LDAV, 2014)

Linking performance data into scientific visualization tools. - Kevin A. Huck; Kristin Potter; Doug W. Jacobsen; Hank Childs; Allen D. Malony (VPA@SC, 2014)

Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-MemoryRay Tracing. - Paul A. Navrátil; Hank Childs; Donald S. Fussell; Calvin Lin (IEEE Trans. Vis. Comput. Graph., 2014)

A Distributed-Memory Algorithm for Connected Components Labeling of Simulation Data. - Cyrus Harrison; Jordan Weiler; Ryan Bleile; Kelly P. Gaither; Hank Childs (Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces, 2015)

Ray tracing within a data parallel framework. - Matthew Larsen; Jeremy S. Meredith; Paul A. Navrátil; Hank Childs (PacificVis, 2015)

Volume Rendering Via Data-Parallel Primitives. - Matthew Larsen; Stephanie Labasan; Paul A. Navrátil; Jeremy S. Meredith; Hank Childs (EGPGV@EuroVis, 2015)

A visualization pipeline for large-scale tractography data. - James Kress; Erik Anderson; Hank Childs (LDAV, 2015)

Exploring tradeoffs between power and performance for a scientific visualization algorithm. - Stephanie Labasan; Matthew Larsen; Hank Childs (LDAV, 2015)

Evaluating the efficacy of wavelet configurations on turbulent-flow data. - Shaomeng Li; Kenny Gruchalla; Kristin Potter; John P. Clyne; Hank Childs (LDAV, 2015)

Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay. - James Kress; Scott Klasky; Norbert Podhorszki; Jong Youl Choi; Hank Childs; David Pugmire (ISAV@SC, 2015)

Strawman: A Batch In Situ Visualization and Analysis Infrastructure for Multi-Physics Simulation Codes. - Matthew Larsen; Eric Brugger; Hank Childs; Jim Eliot; Kevin S. Griffin; Cyrus Harrison (ISAV@SC, 2015)

Subsampling-based compression and flow visualization. - Alexy Agranovsky; David Camp; Kenneth I. Joy; Hank Childs (Visualization and Data Analysis, 2015)

Exploring hierarchical visualization designs using phylogenetic trees. - Shaomeng Li; R. Jordan Crouser; Garth Griffin; Connor Gramazio; Hans-Jörg Schulz; Hank Childs; Remco Chang (Visualization and Data Analysis, 2015)

Data Exploration at the Exascale. - Hank Childs (Supercomput. Front. Innov., 2015)

Visualization for Exascale: Portable Performance is Critical. - Kenneth Moreland; Matthew Larsen; Hank Childs (Supercomput. Front. Innov., 2015)

External Facelist Calculation with Data-Parallel Primitives. - Brenton Lessley; Roba Binyahib; Robert Maynard; Hank Childs (EGPGV@EuroVis, 2016)

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. - 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; et al. (IPDPS Workshops, 2016)

Optimizing multi-image sort-last parallel rendering. - Matthew Larsen; Kenneth Moreland; Chris R. Johnson 001; Hank Childs (LDAV, 2016)

Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code. - James Kress; David Pugmire; Scott Klasky; Hank Childs (ISAV@SC, 2016)

Performance modeling of in situ rendering. - Matthew Larsen; Cyrus Harrison; James Kress; David Pugmire; Jeremy S. Meredith; Hank Childs (SC, 2016)

VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures. - Kenneth Moreland; Christopher M. Sewell; William Usher 001; Li-Ta Lo; Jeremy S. Meredith; David Pugmire; James Kress; Hendrik A. Schroots; Kwan-Liu Ma; Hank Childs; Matthew Larsen; Chun-Ming Chen; et al. (IEEE Computer Graphics and Applications, 2016)

In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms. - 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 (Comput. Graph. Forum, 2016)

Preface: Visualization and data analytics for scientific discovery. - Hank Childs; Franck Cappello (Parallel Comput., 2016)

Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers. - James Kress; Randy Michael Churchill; Scott Klasky; Mark Kim; Hank Childs; David Pugmire (Supercomput. Front. Innov., 2016)

Spatiotemporal Wavelet Compression for Visualization of Scientific Simulation Data. - Shaomeng Li; Sudhanshu Sane; Leigh Orf; Pablo D. Mininni; John P. Clyne; Hank Childs (CLUSTER, 2017)

PaViz: A Power-Adaptive Framework for Optimizing Visualization Performance. - Stephanie Labasan; Matthew Larsen; Hank Childs; Barry Rountree (EGPGV@EuroVis, 2017)

Achieving Portable Performance For Wavelet Compression Using Data Parallel Primitives. - Shaomeng Li; Nicole Marsaglia; Vincent Chen; Christopher M. Sewell; John P. Clyne; Hank Childs (EGPGV@EuroVis, 2017)

Techniques for data-parallel searching for duplicate elements. - Brenton Lessley; Kenneth Moreland; Matthew Larsen; Hank Childs (LDAV, 2017)

Maximal clique enumeration with data-parallel primitives. - Brenton Lessley; Talita Perciano; Manish Mathai; Hank Childs; E. Wes Bethel (LDAV, 2017)

The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman. - Matthew Larsen; James P. Ahrens; Utkarsh Ayachit; Eric Brugger; Hank Childs; Berk Geveci; Cyrus Harrison (ISAV@SC, 2017)

Performance Impacts of In Situ Wavelet Compression on Scientific Simulations. - Shaomeng Li; Matthew Larsen; John P. Clyne; Hank Childs (ISAV@SC, 2017)

Accelerating advection via approximate block exterior flow maps. - Ryan Bleile; Linda Sugiyama; Christoph Garth; Hank Childs (Visualization and Data Analysis, 2017)

Performance-Portable Particle Advection with VTK-m. - David Pugmire; Abhishek Yenpure; Mark Kim; James Kress; Robert Maynard; Hank Childs; Bernd Hentschel 001 (EGPGV@EuroVis, 2018)

Revisiting the Evaluation of In Situ Lagrangian Analysis. - Sudhanshu Sane; Roxana Bujack; Hank Childs (EGPGV@EuroVis, 2018)

DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives. - Brenton Lessley; Talita Perciano; Colleen Heinemann; David Camp; Hank Childs; E. Wes Bethel (LDAV, 2018)

A flexible system for in situ triggers. - Matthew Larsen; Amy Woods; Nicole Marsaglia; Ayan Biswas; Soumya Dutta; Cyrus Harrison; Hank Childs (ISAV@SC, 2018)

Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation. - James Kress; Jong Choi 001; Scott Klasky; Michael Churchill; Hank Childs; David Pugmire (ISC Workshops, 2018)

Enabling Explorative Visualization with Full Temporal Resolution via In Situ Calculation of Temporal Intervals. - Nicole Marsaglia; Shaomeng Li; Hank Childs (ISC Workshops, 2018)

Data Reduction Techniques for Simulation, Visualization and Data Analysis. - Shaomeng Li; Nicole Marsaglia; Christoph Garth; Jonathan Woodring; John P. Clyne; Hank Childs (Comput. Graph. Forum, 2018)

In Situ Visualization for Computational Science (Dagstuhl Seminar 18271). - Janine C. Bennett; Hank Childs; Christoph Garth; Bernd Hentschel 001 (Dagstuhl Reports, 2018)

Dynamic I/O Budget Reallocation For In Situ Wavelet Compression. - Nicole Marsaglia; Shaomeng Li; Kristi Belcher; Matthew Larsen; Hank Childs (EGPGV@EuroVis, 2019)

An Interpolation Scheme for VDVP Lagrangian Basis Flows. - Sudhanshu Sane; Hank Childs; Roxana Bujack (EGPGV@EuroVis, 2019)

Efficient Point Merging Using Data Parallel Techniques. - Abhishek Yenpure; Hank Childs; Kenneth Moreland (EGPGV@EuroVis, 2019)

Thin-Threads: An Approach for History-Based Monte Carlo on GPUs. - Ryan Bleile; Patrick S. Brantley; David F. Richards; Shawn A. Dawson; Michael Scott McKinley; Matthew O'Brien; Hank Childs (HPCS, 2019)

Power and Performance Tradeoffs for Visualization Algorithms. - Stephanie Labasan; Matthew Larsen; Hank Childs; Barry Rountree (IPDPS, 2019)

A Lifeline-Based Approach for Work Requesting and Parallel Particle Advection. - Roba Binyahib; David Pugmire; Boyana Norris; Hank Childs (LDAV, 2019)

Feature Tracking Utilizing a Maximum-Weight Independent Set Problem. - Andrea Schnorr; Dirk N. Helmrich; Hank Childs; Torsten W. Kuhlen; Bernd Hentschel 001 (LDAV, 2019)

When Parallel Performance Measurement and Analysis Meets In Situ Analytics and Visualization. - Allen D. Malony; Matthew Larsen; Kevin A. Huck; Chad Wood; Sudhanshu Sane; Hank Childs (PARCO, 2019)

In situ particle advection via parallelizing over particles. - Roba Binyahib; David Pugmire; Hank Childs (ISAV@SC, 2019)

Comparing the Efficiency of In Situ Visualization Paradigms at Scale. - James Kress; Matthew Larsen; Jong Choi 001; Mark Kim; Matthew Wolf; Norbert Podhorszki; Scott Klasky; Hank Childs; David Pugmire (ISC, 2019)

In Situ Visualization for Computational Science. - Hank Childs; Janine Bennett; Christoph Garth; Bernd Hentschel 001; Theresa-Marie Rhyne (IEEE Computer Graphics and Applications, 2019)

The Moving Target of Visualization Software for an Ever More Complex World (NII Shonan Meeting 145). - Hank Childs; Takayuki Itoh; Michael Krone; Guido Reina (NII Shonan Meet. Rep., 2019)

A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume Data. - Roba Binyahib; Tom Peterka; Matthew Larsen; Kwan-Liu Ma; Hank Childs (IEEE Trans. Vis. Comput. Graph., 2019)

Parallel Particle Advection Bake-Off for Scientific Visualization Workloads. - Roba Binyahib; David Pugmire; Abhishek Yenpure; Hank Childs (CLUSTER, 2020)

Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale. - James Kress; Matthew Larsen; Jong Choi 001; Mark Kim; Matthew Wolf; Norbert Podhorszki; Scott Klasky; Hank Childs; David Pugmire (LDAV, 2020)

Benchmarking In Situ Triggers Via Reconstruction Error. - Yuya Kawakami; Nicole Marsaglia; Matthew Larsen; Hank Childs (ISAV@SC, 2020)

Visualization as a Service for Scientific Data. - David Pugmire; James Kress; Jieyang Chen; Hank Childs; Jong Choi 001; Dmitry Ganyushin; Berk Geveci; Mark Kim; Scott Klasky; Xin Liang 001; Jeremy Logan; Nicole Marsaglia; et al. (SMC, 2020)

Opportunities for Cost Savings with In-Transit Visualization. - James Kress; Matthew Larsen; Jong Choi 001; Mark Kim; Matthew Wolf; Norbert Podhorszki; Scott Klasky; Hank Childs; David Pugmire (ISC, 2020)

HashFight: A Platform-Portable Hash Table for Multi-Core and Many-Core Architectures. - Brenton Lessley; Shaomeng Li; Hank Childs (Visualization and Data Analysis, 2020)

The moving target of visualization software for an increasingly complex world. - 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 (Comput. Graph., 2020)

A Survey of Seed Placement and Streamline Selection Techniques. - Sudhanshu Sane; Roxana Bujack; Christoph Garth; Hank Childs (Comput. Graph. Forum, 2020)

Scalable In Situ Lagrangian Flow Map Extraction: Demonstrating the Viability of a Communication-Free Model. - Sudhanshu Sane; Abhishek Yenpure; Roxana Bujack; Matthew Larsen; Kenneth Moreland; Christoph Garth; Hank Childs (CoRR, 2020)

A terminology for in situ visualization and analysis systems. - 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; et al. (Int. J. High Perform. Comput. Appl., 2020)

Data-Parallel Hashing Techniques for GPU Architectures. - Brenton Lessley; Hank Childs (IEEE Trans. Parallel Distributed Syst., 2020)

HyLiPoD: Parallel Particle Advection Via a Hybrid of Lifeline Scheduling and Parallelization-Over-Data. - Roba Binyahib; David Pugmire; Hank Childs (EGPGV@EuroVis, 2021)

Scalable In Situ Computation of Lagrangian Representations via Local Flow Maps. - Sudhanshu Sane; Abhishek Yenpure; Roxana Bujack; Matthew Larsen; Kenneth Moreland; Christoph Garth; Chris R. Johnson 001; Hank Childs (EGPGV@EuroVis, 2021)

Machine Learning-Based Autotuning for Parallel Particle Advection. - Samuel D. Schwartz; Hank Childs; David Pugmire (EGPGV@EuroVis, 2021)

A Dynamic Replication Approach for Monte Carlo Photon Transport on Heterogeneous Architectures. - Ryan Bleile; Patrick S. Brantley; Matthew O'Brien; Hank Childs (ICCS (1), 2021)

Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications. - Sudhanshu Sane; Chris R. Johnson 001; Hank Childs (ICCS (1), 2021)

Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis. - Matthew Larsen; Cyrus Harrison; Terece L. Turton; Sudhanshu Sane; Stephanie Brink; Hank Childs (LDAV, 2021)

An Entropy-Based Approach for Identifying User-Preferred Camera Positions. - Nicole Marsaglia; Yuya Kawakami; Samuel D. Schwartz; Stefan Fields; Hank Childs (LDAV, 2021)

Evaluating adaptive and predictive power management strategies for optimizing visualization performance on supercomputers. - Stephanie Brink; Matthew Larsen; Hank Childs; Barry Rountree (Parallel Comput., 2021)

Minimizing development costs for efficient many-core visualization using MCD3. - Kenneth Moreland; Robert Maynard; David Pugmire; Abhishek Yenpure; Allison Vacanti; Matthew Larsen; Hank Childs (Parallel Comput., 2021)

Automatic In Situ Camera Placement for Isosurfaces of Large-Scale Scientific Simulations. - Nicole Marsaglia; Manish Mathai; Stefan Fields; Hank Childs (EGPGV@EuroVis, 2022)

A Trigger-Based Approach for Optimizing Camera Placement Over Time. - Nicole Marsaglia; Meghanto Majumder; Hank Childs (ISAV@SC, 2022)

New Triggers for Automatic Camera Placement Over Time. - Meghanto Majumder; Nicole Marsaglia; Hank Childs (LDAV, 2022)

SERVIZ: A Shared In Situ Visualization Service. - Srinivasan Ramesh; Hank Childs; Allen D. Malony (SC, 2022)

A Guide to Particle Advection Performance. - Abhishek Yenpure; Sudhanshu Sane; Roba Binyahib; David Pugmire; Christoph Garth; Hank Childs (CoRR, 2022)

Demonstrating the viability of Lagrangian in situ reduction on supercomputers. - Sudhanshu Sane; Christopher R. Johnson 001; Hank Childs (J. Comput. Sci., 2022)

A Distributed-Memory Parallel Approach for Volume Rendering with Shadows. - Manish Mathai; Matthew Larsen; Hank Childs (LDAV, 2023)

VTK-m: Visualization for the Exascale Era and Beyond. - Mark Bolstad; Kenneth Moreland; David Pugmire; David H. Rogers 001; Li-Ta Lo; Berk Geveci; Hank Childs; Silvio Rizzi 001 (SIGGRAPH Talks, 2023)

A Hybrid in Situ Approach for Cost Efficient Image Database Generation. - Valentin Bruder; Matthew Larsen; Thomas Ertl; Hank Childs; Steffen Frey (IEEE Trans. Vis. Comput. Graph., 2023)

State-of-the-Art Report on Optimizing Particle Advection Performance. - Abhishek Yenpure; Sudhanshu Sane; Roba Binyahib; David Pugmire; Christoph Garth; Hank Childs (Comput. Graph. Forum, 2023)

Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead. - Zhe Wang 059; Kenneth Moreland; Matthew Larsen; James Kress; Hank Childs; David Pugmire (CoRR, 2024)

Enabling Lightweight Performance Analysis of Complex Scientific Workflows with PerfFlowAspect. - Aliza Lisan; Tapasya Patki; Stephanie Brink; Konstantinos Parasyris; Brian Gunnarson; Giorgis Georgakoudis; Hank Childs (SSDBM, 2025)

In Situ Workload Estimation for Block Assignment and Duplication in Parallelization-Over-Data Particle Advection. - Zhe Wang 059; Kenneth Moreland; Matthew Larsen; James Kress; Hank Childs; Guan Li; Guihua Shan; David Pugmire (Comput. Graph. Forum, 2025)

The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. - James P. Ahrens; Marco Arienti; Utkarsh Ayachit; Janine Bennett; Roba Binyahib; Ayan Biswas; Peer-Timo Bremer; Eric Brugger; Roxana Bujack; Hamish A. Carr; Jieyang Chen; Hank Childs; et al. (Int. J. High Perform. Comput. Appl., 2025)

Parallel I/O Characterization and Optimization on Large-Scale HPC Systems: A 360-Degree Survey. - Hammad Ather; Jean Luca Bez; Chen Wang 004; Hank Childs; Allen D. Malony; Suren Byna (CoRR, 2025)