Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Thomas Fogal"'
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:
LDAV
Compositing is a significant factor in distributed visualization performance at scale on high-performance computing (HPC) systems. For applications such as Para VieworVisIt, the common approach is “sort-last” rendering. For this approach, data ar
Publikováno v:
LDAV
Hardware video encoding can lower the perceived latency for remote visualization. We have created a lightweight library that simplifies the use of NVIDIA's video compression hardware. We achieve overall latencies below 15ms with compression ratios of
Publikováno v:
Annals of Nuclear Energy. 55:248-257
The AGENT simulation system is used for detailed three-dimensional modeling of neutron transport and corresponding properties of nuclear reactors of any design. Numerical solution to the neutron transport equation in the AGENT system is based on the
Autor:
Jens Krüger, Thomas Fogal
Publikováno v:
ISAV@SC
Coupling visualization and analysis software with simulation code is a resource-intensive task. As the usage of simulation-based science grows, we asked ourselves: what would it take to enable in situ visualization for every simulation in existence?
Publikováno v:
LDAV
Volume rendering continues to be a critical method for analyzing large-scale scalar fields, in disciplines as diverse as biomedical engineering and computational fluid dynamics. Commodity desktop hardware has struggled to keep pace with data size inc
In recent years there has been significant growth in the use of patient-specific models to predict the effects of neuromodulation therapies such as deep brain stimulation (DBS). However, translating these models from a research environment to the eve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79bfb28a50271ea6184da2ba80ca85a2
https://europepmc.org/articles/PMC3686862/
https://europepmc.org/articles/PMC3686862/
Autor:
Jens Krüger, Thomas Fogal
Publikováno v:
IFMBE Proceedings ISBN: 9783642038945
The size of datasets generated in the medical imaging community is increasing faster than additional processing resources are made available. Even if we can surmount the hurdles in large data handling and processing, the amount of information encoded
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d90f040e9755c26a5642c2ac0b5d77d
Autor:
Jens Krüger, Thomas Fogal
Publikováno v:
IFMBE Proceedings ISBN: 9783642038945
Attempting to display the entirety of a large volumetric dataset at one time would result in an overwhelming amount of information. Furthermore, visualization tools based on volume rendering present the user with a host of confusing options. We prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee33cd4e77f5cbaeb84a4aff5e94904f
Autor:
Valerio Pascucci, Hank Childs, Peter Messmer, Sean Ahern, Peer-Timo Bremer, E.W. Bethel, Prabhat, Kenneth I. Joy, Estelle Cormier-Michel, Charles Hansen, John B. Bell, Christoph Garth, Jens Krüger, Daniela Ushizima, Cláudio T. Silva, Thomas Fogal, Chris R. Johnson, Oliver Rubel, Bernd Hamann, Kesheng Wu, Marcus S. Day, Brad Whitlock, Kristin Potter, Allen Sanderson, Jeremy S. Meredith, Eduard Deines, Cameron Geddes, George Ostrouchov, Hans Hagen, Gunther H. Weber, Janet Jacobsen, Dave Pugmire
Publikováno v:
Journal of Physics: Conference Series. 180:012084
One of the central challenges facing visualization research is how to effectively enable knowledge discovery. An effective approach will likely combine application architectures that are capable of running on today's largest platforms to address the