Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Hank Childs

Showing results (1-10 of 12) with videos related to

Pageof 2
Sort By:
IEEE Computer Graphics and Applications|July 24, 2010
Parallel and streaming generation of ghost data for structured gridsMartin Isenburg, Peter Lindstrom, Hank Childs
IEEE Transactions on Visualization and Computer Graphics|September 11, 2015
Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-MemoryRay TracingPaul A Navrátil, Hank Childs, Donald S Fussell, et al.
IEEE Transactions on Visualization and Computer Graphics|April 29, 2022
A Hybrid in Situ Approach for Cost Efficient Image Database GenerationValentin Bruder, Matthew Larsen, Thomas Ertl, et al.
IEEE Computer Graphics and Applications|November 13, 2019
In Situ Visualization for Computational ScienceHank Childs, Janine Bennett, Christoph Garth, et al.
IEEE Transactions on Visualization and Computer Graphics|July 12, 2018
A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume DataRoba Binyahib, Tom Peterka, Matthew Larsen, et al.
IEEE Transactions on Visualization and Computer Graphics|September 3, 2011
Streamline integration using MPI-hybrid parallelism on a large multicore architectureDavid Camp, Christoph Garth, Hank Childs, et al.
IEEE Transactions on Visualization and Computer Graphics|April 2, 2025
Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and OverheadZhe Wang, Kenneth Moreland, Matthew Larsen, et al.
IEEE Transactions on Visualization and Computer Graphics|September 21, 2013
Characterizing and visualizing predictive uncertainty in numerical ensembles through Bayesian model averagingLuke Gosink, Kevin Bensema, Trenton Pulsipher, et al.
IEEE Computer Graphics and Applications|July 24, 2010
Extreme scaling of production visualization software on diverse architecturesHank Childs, David Pugmire, Sean Ahern, et al.
IEEE Computer Graphics and Applications|May 9, 2014
Visual analytics for finding critical structures in massive time-varying turbulent-flow simulationsKelly P Gaither, Hank Childs, Karl W Schulz, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
IEEE Computer Graphics and Applications|July 24, 2010
Parallel and streaming generation of ghost data for structured gridsMartin Isenburg, Peter Lindstrom, Hank Childs
IEEE Transactions on Visualization and Computer Graphics|September 11, 2015
Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-MemoryRay TracingPaul A Navrátil, Hank Childs, Donald S Fussell, et al.
IEEE Transactions on Visualization and Computer Graphics|April 29, 2022
A Hybrid in Situ Approach for Cost Efficient Image Database GenerationValentin Bruder, Matthew Larsen, Thomas Ertl, et al.
IEEE Computer Graphics and Applications|November 13, 2019
In Situ Visualization for Computational ScienceHank Childs, Janine Bennett, Christoph Garth, et al.
IEEE Transactions on Visualization and Computer Graphics|July 12, 2018
A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume DataRoba Binyahib, Tom Peterka, Matthew Larsen, et al.
IEEE Transactions on Visualization and Computer Graphics|September 3, 2011
Streamline integration using MPI-hybrid parallelism on a large multicore architectureDavid Camp, Christoph Garth, Hank Childs, et al.
IEEE Transactions on Visualization and Computer Graphics|April 2, 2025
Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and OverheadZhe Wang, Kenneth Moreland, Matthew Larsen, et al.
IEEE Transactions on Visualization and Computer Graphics|September 21, 2013
Characterizing and visualizing predictive uncertainty in numerical ensembles through Bayesian model averagingLuke Gosink, Kevin Bensema, Trenton Pulsipher, et al.
IEEE Computer Graphics and Applications|July 24, 2010
Extreme scaling of production visualization software on diverse architecturesHank Childs, David Pugmire, Sean Ahern, et al.
IEEE Computer Graphics and Applications|May 9, 2014
Visual analytics for finding critical structures in massive time-varying turbulent-flow simulationsKelly P Gaither, Hank Childs, Karl W Schulz, et al.
Pageof 2