Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Paul A. Navrátil"'
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 28:1172-1181
Scientific ray tracing now can include realistic shading and material properties, but tracing rays of various depths to conclusion through partitioned data is inefficient. For such data, many ray scheduling methods have demonstrated improved renderin
Publikováno v:
Computing in Science & Engineering. 23:10-13
In 2019 the National Science Foundation in the United States began operation of its Frontera supercomputer at the Texas Advanced Computing Center, debuting at number 5 on the TOP500 list. Unlike more general purpose supercomputers, Frontera was desig
Publikováno v:
ISAV@SC
Traditional post-hoc high-fidelity scientific visualization (HSV) of numerical simulations requires multiple I/O check-pointing to inspect the simulation progress. The costs of these I/O operations are high and can grow exponentially with increasing
Autor:
Aaron Knoll, Paul A. Navrátil, Steve Petruzza, Venkatram Vishwanath, Michel Rasquin, Silvio Rizzi, Jeremy S. Meredith, Thomas Fogal, Jay Lofstead, Bernd Hentschel, David Rogers, James Kress, Han-Wei Shen, Franz Sauer, Cyrus Harrison, Tom Peterka, David Pugmire, Sudhanshu Sane, Charles Hansen, Kenneth Moreland, Berk Geveci, Matthew Wolf, Kwan-Liu Ma, Janine C. Bennett, Rhonda Vickery, William F. Godoy, Sean B. Ziegeler, Ingo Wald, Eric Brugger, Christoph Garth, Steffen Frey, Joseph A. Insley, Jean M. Favre, Andrew Bauer, Soumya Dutta, Gunther H. Weber, Sean Ahern, Matthieu Dorier, Ruonan Wang, John Patchett, E. Wes Bethel, Chris R. Johnson, Valerio Pascucci, Patrick O'Leary, Preeti Malakar, Norbert Podhorszki, Hongfeng Yu, Brad Whitlock, Matthew Larsen, James Ahrens, Robert Sisneros, Joseph A. Cottam, Scott Klasky, Manish Parashar, Hank Childs, Peer-Timo Bremer, Will Usher
Publikováno v:
The International Journal of High Performance Computing Applications, vol 34, iss 6
International Journal of High Performance Computing Applications, vol 34, iss 6
International Journal of High Performance Computing Applications, vol 34, iss 6
The term “in situ processing” has evolved over the last decade to mean both a specific strategy for visualizing and analyzing data and an umbrella term for a processing paradigm. The resulting confusion makes it difficult for visualization and an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::070afd116d2dcb779f32cf9347bf71ee
https://escholarship.org/uc/item/20q1s49z
https://escholarship.org/uc/item/20q1s49z
Publikováno v:
PEARC
PowerFlow3D is a prototype system for acquiring, reconstructing, and visualizing three-dimensional structure of complex flows around objects in wind tunnel test procedures. PowerFlow3D combines modern high-performance computing (HPC) with existing ac
Autor:
Paul A. Navrátil, Maytal Dahan
Publikováno v:
Concurrency and Computation: Practice and Experience.
Publikováno v:
LDAV
Figure 1.Datasets rendered by Galaxy using 64-ray cross-node ambient occlusion shadow sampling: (left) volumetric asteroid impact simulation; (center) geometric limestone karst core sample scan; (right) n-body Cosmic Web dark matter simulation. The l
Publikováno v:
LDAV
Figure 1:All images rendered with our speculative ray tracing technique. First three columns: a massive channel-flow turbulence DNS dataset. Last two columns: an RM fluid instability dataset and an Enzo Astrophysics AMR dataset (left and right). The
Autor:
Michael E. Papka, Aaron Knoll, Paul A. Navrátil, Kelly Gaither, Ingo Wald, Anne M. Bowen, Khairi Reda
Publikováno v:
Computer Graphics Forum. 33:71-80
Modern supercomputers enable increasingly large N-body simulations using unstructured point data. The structures implied by these points can be reconstructed implicitly. Direct volume rendering of radial basis function (RBF) kernels in domain-space o
Autor:
Joshua D. Rhodes, Wesley Cole, Chioke B. Harris, Chris L. Holcomb, Michael E. Webber, Alexis Kwasinski, Robert L. Fares, Roger D. Duncan, Thomas F. Edgar, Harsha Kumar, David Walling, Paul A. Navrátil, Ariane L. Beck, Kazunori Nagasawa, Colin M. Meehan, Charles R. Upshaw
Publikováno v:
Energy. 65:462-471
This paper has two objectives: 1) to describe the experimental and data collection methods for a large-scale smart grid deployment in Austin, Texas, and 2) to provide results based on those data. As of October 2012, the test bed was comprised of 1) 2