2017


Performance Impacts of In Situ Wavelet Compression on Scientific Simulations
Samuel Li, Matt Larsen, John Clyne, and Hank Childs
ISAV 2017: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization, Denver, CO, USA, November 12-17, 2017

[PDF]     [BIB]

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]

Techniques for Data-Parallel Searching for Duplicate Elements
Brent Lessley, Kenneth Moreland, Matt Larsen, and Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), Phoenix, AZ, October 2017

[PDF]     [BIB]

Spatiotemporal Wavelet Compression for Visualization of Scientific Simulation Data
Samuel Li, Sudhanshu Sane, Leigh Orf, Pablo Mininni, John Clyne, and Hank Childs
IEEE Cluster 2017 (CLUSTER), Honolulu, HI, September 2017

[PDF]     [BIB]

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]

Achieving Portable Performance For Wavelet Compression Using Data Parallel Primitives
Samuel Li, Nicole Marsaglia, Vincent Chen, Christopher Sewell, John Clyne, and Hank Childs
Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Barcelona, Spain, June 2017

[PDF]     [BIB]

Toward a Multi-method Approach: Lossy Data Compression for Climate Simulation Data
Allison Baker, Haiying Xu, Dorit Hammerling, Samuel Li, and John Clyne,
The 1st International Workshop on Data Reduction for Big Scientific Data (DRBSD-1), Frankfurt, Germany, June 2017

[PDF]     [BIB]

Accelerating Advection Via Approximate Block Exterior Flow Maps
Ryan Bleile, Linda Sugiyama, Christoph Garth, and Hank Childs
SPIE Visualization and Data Analysis (VDA), San Francisco, CA, February 2017

[PDF]     [BIB]

2016


Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers
James Kress, Randy Michael Churchill, Scott Klasky, Mark Kim, Hank Childs, and Dave Pugmire
Supercomputing Frontiers and Innovations, December 2016

[LINK]     [BIB]

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]

Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code
James Kress, Dave Pugmire, Scott Klasky, and Hank Childs
SC16 Workshop on In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV-16), Salt Lake City, UT, November 2016

[PDF]     [BIB]

Algorithmic Improvements for Portable Event-Based Monte Carlo Transport Using the Nvidia Thrust Library
Ryan Bleile, Patrick Brantley, Matthew J. O'Brien, and Hank Childs
American Nuclear Society (ANS) Annual Winter Meeting, Las Vegas, NV, November 2016

[PDF]     [BIB]

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]

External Facelist Calculation with Data-Parallel Primitives
Brent Lessley, Roba Binyahib, Rob Maynard, and Hank Childs
EuroGraphics Symposium on Parallel Graphics and Visualization (EGPGV), Groningen, The Netherlands, June 2016

[PDF]     [BIB]

Investigation of Portable Event-Based Monte Carlo Transport Using the NVIDIA Thrust Library
Ryan Bleile, Patrick Brantley, Shawn Dawson, Matthew O'Brien, and Hank Childs
American Nuclear Society (ANS) Annual Meeting, New Orleans, LA, June 2016

[PDF]     [BIB]

In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms
Andrew C. Bauer, Hasan Abbasi, James Ahrens, Hank Childs, Berk Geveci, Scott Klasky, Kenneth Moreland, Patrick O'Leary, Venkatram Vishwanath, Brad Whitlock, and E. Wes Bethel
EuroVis 2016, Groningen, The Netherlands, June 2016

[PDF]     [BIB]

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]

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows
David Pugmire, James Kress, Jong Choi, Scott Klasky, Tahsin Kurc, Randy Churchill, Matthew Wolf, Greg Eisenhauer, Hank Childs, Kesheng Wu, Alex Sim, Junmin Gu, and Jonathan Low
IPDPS Workshop on High Performance Data Analysis and Visualization (HPDAV), Chicago, IL, May 2016

[PDF]     [BIB]

2015


Visualization for Exascale: Portable Performance is Critical
Ken Moreland, Matt Larsen, and Hank Childs
Supercomputing Frontiers and Innovations, December 2015

[LINK]     [BIB]

Data Exploration at the Exascale
Hank Childs
Supercomputing Frontiers and Innovations, December 2015

[LINK]     [BIB]

Loosely Coupled In Situ Visualization: A Perspective on Why it's Here to Stay
James Kress, Scott Klasky, Norbert Podhorszki, Jong Choi, Hank Childs, and Dave Pugmire
SC15 Workshop on In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV-15), Austin, TX, November 2015

[PDF]     [BIB]

Strawman - A Batch In Situ Visualization and Analysis Infrastructure for Multi-Physics Simulation Codes
Matthew Larsen, Eric Brugger, Hank Childs, Jim Eliot, Kevin Griffin, and Cyrus Harrison
SC15 Workshop on In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV-15), Austin, TX, November 2015

[PDF]     [BIB]

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]

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]

A Visualization Pipeline for Large-Scale Tractography Data
James Kress, Erik Anderson, and Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), Chicago, IL, October 2015

[PDF]     [BIB]

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]

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]

Advanced Computing Architecture Challenges for the Mercury Monte Carlo Particle Transport Project
Patrick Brantley, Shawn Dawson, Michael McKinley, Matthew O'Brien, David Stevens, Bret Beck, Eugene Brooks III, and Ryan Bleile
Joint International Conference on Mathematics and Computation (M&C), Supercomputing in Nuclear Applications (SNA) and the Monte Carlo (MC) Method, Nashville, TN, April 2015

[LINK]     [BIB]

Exploring Hierarchical Visualization Designs Using Phylogenetic Trees
Samuel Li, R. Jordan Crouser, Garth Griffin, Connor Gramazio, Hans-Jörg Schulz, Hank Childs, and Remco Chang
SPIE Visualization and Data Analysis (VDA), San Francisco, CA, February 2015
Best Paper Award

[PDF]     [BIB]

Subsampling-Based Compression and Flow Visualization
Alexy Agranovsky, David Camp, Kenneth I. Joy, and Hank Childs
SPIE Visualization and Data Analysis (VDA), San Francisco, CA, February 2015

[PDF]     [BIB]

2014


Particle Advection Performance Over Varied Architectures and Workloads
Hank Childs, Scott Biersdorff, David Poliakoff, David Camp, and Allen D. Malony
IEEE Conference on High Performance Computing, Goa, India, December 2014

[PDF]     [BIB]

A Distributed-Memory Algorithm for Connected Components Labeling of Simulation Data
Cyrus Harrison, Jordan Weiler Ryan Bleile, Kelly Gaither, and Hank Childs
Topological and Statistical Methods for Complex Data, December 2014

[LINK]     [BIB]

Linking Performance Data into Scientific Visualization Tools
Kevin Huck, Kristi Potter, Doug W. Jacobsen, Hank Childs, and Allen D. Malony
SC14 Workshop on Visual Performance Analysis (VPA), New Orleans, LA, November 2014

[PDF]     [BIB]

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]

Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-Memory Ray Tracing
Paul Navratil, Hank Childs, Donald Fussell, and Calvin Lin,
IEEE Transactions on Visualization and Computer Graphics (TVCG), June 2014

[PDF]     [BIB]

Towards Scalable Visualization Plugins for Data Staging Workflows
David Pugmire, James Kress, Jeremy Meredith, Norbert Podhorszki, Jong Choi, and Scott Klasky
SC14 Workshop on Big Data Analytics: Challenges, and Opportunities (BDAC-14), New Orleans, LA, November 2014

[PDF]     [BIB]

Additional 2014 publications:

  • H. Krishnan, J. Meyer, A. Romosan, H. Childs, and W. Bethel. Enabling Advanced Environmental Management via Remote and Distributed Visual Data Exploration and Analysis. Journal of Computing and Visualization in Science (CAVS), 15(3):123-133, Spring 2014.
  • L. Pratt, I. Rypina, T. Ozgokmen, P. Wang, H. Childs, and Y. Bebieva. Chaotic Advection in a Steady, Three-Dimensional, Ekman-Driven Eddy. Journal of Fluid Mechanics, 738:143-183, Jan. 2014.
2013


Research Challenges for Visualization Software
Hank Childs, Berk Geveci, Will Schroeder, Ken Moreland, Jeremy Meredith, Chris Sewell, Torsten Kuhlen, and Wes Bethel
IEEE Computer, May 2013

[PDF]     [BIB]

GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting
David Camp, Hari Krishnan, David Pugmire, Christoph Garth, Ian Johnson, Wes Bethel, Kenneth I. Joy, and Hank Childs
EuroGraphics Symposium on Parallel Graphics and Visualization (EGPGV), Girona, Spain, May 2013

[PDF]     [BIB]

Transitioning Data Flow-Based Visualization Software to Multi-Core Hybrid Parallelism
David Camp, Wes Bethel, and Hank Childs
Workshop on Data-Flow Execution Models for Extreme Scale Computing (DFM 2013), Edinburgh, Scotland, September 2013

[PDF]     [BIB]

VisIt: Experiences with Sustainable Software
Sean Ahern, Eric Brugger, Brad Whitlock, Jeremy Meredith, Kathleen Biagas, Mark Miller, and Hank Childs
SC13 Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE), Denver, CO, November 2013

[PDF]     [BIB]

Additional 2013 publications:

  • L. Gosink, K. Bensema, T. Pulsipher, H. Obermaier, M. Henry, H. Childs, and K. I. Joy. Characterizing and Visualizing Predictive Uncertainty in Numerical Ensembles Through Bayesian Model Averaging. IEEE Transactions on Visualization and Computer Graphics (TVCG), 19(12):2703-2712, Dec. 2013.
  • D. N. Williams, T. Bremer, C. Doutriaux, J. Patchett, S. Williams, G. Shipman, R. Miller, D. R. Pugmire, B. Smith, C. Steed, E. W. Bethel, H. Childs, H. Krishnan, P. Prabhat, M. Wehner, C. T. Silva, E. Santos, D. Koop, T. Ellqvist, J. Poco, B. Geveci, A. Chaudhary, A. Bauer, A. Pletzer, D. Kindig, G. L. Potter, and T. P. Maxwell. Ultrascale Visualization of Climate Data. IEEE Computer, 46(9):68-76, Sept. 2013.
  • H. Krishnan, C. Harrison, B. Whitlock, D. Pugmire, and H. Childs. Exploring Collaborative HPC Visualization Workflows using VisIt and Python. In Proceedings of the 12th Python in Science Conference (SciPy 2013), pages 69-73, Austin, TX, June 2013.
Prior to 2013
Selected publications from Hank Childs prior to the formation of CDUX, listed in descending chronological order


Parallel Stream Surface Computation for Large Data Sets
David Camp, Hank Childs, Christoph Garth, David Pugmire, and Kenneth I. Joy
IEEE Large Data Analysis and Visualization (LDAV), Seattle, WA, October 2012

[PDF]     [BIB]

Using Visualization and Data Analysis to Understand Critical Structures in Massive Time Varying Turbulent Flow Simulations
Kelly Gaither, Hank Childs, Karl Schulz, Cyrus Harrison, Bill Barth, Diego Donzis, and P.K. Yeung
IEEE Computer Graphics and Applications (CG&A), July 2012

[PDF]     [BIB]

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]

Hybrid Parallelism for Volume Rendering on Large-, Multi-, and Many-Core Systems
Mark Howison, Wes Bethel, and Hank Childs
IEEE Transactions on Visualization and Computer Graphics (TVCG), January 2012

[PDF]     [BIB]

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]

Evaluating the Benefits of An Extended Memory Hierarchy for Parallel Streamline Algorithms
David Camp, Hank Childs, Amit Chourasia, Christoph Garth, and Kenneth I. Joy
IEEE Large Data Visualization and Analysis (LDAV), Providence, RI, October 2011

[PDF]     [BIB]

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]

Data-Parallel Mesh Connected Components Labeling and Analysis
Cyrus Harrison, Hank Childs, and Kelly Gaither
EGPGV, Llandudno, Wales, April 2011

[PDF]     [BIB]

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]

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]

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]

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]

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]