Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Jeremy S. Meredith"'
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:
Journal of Parallel and Distributed Computing. 120:222-236
With the anticipation of exascale architectures, energy consumption is becoming one of the critical design parameters, especially in light of the energy budget of 20–30 Megawatts set by the U.S. Department of Energy. Understanding an application’
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::143375b9f2c11834b9ceb4ab82c5a89c
https://doi.org/10.1016/j.jpdc.2017.11.005
https://doi.org/10.1016/j.jpdc.2017.11.005
Autor:
Vickie E. Lynch, Jeffrey S. Vetter, Anirban Mandal, Jeremy S. Meredith, Christopher D. Carothers, Ilya Baldin, Brian Tierney, Benjamin Mayer, Rafael Ferreira da Silva, Ewa Deelman, Thomas Proffen, Paul Ruth, Dariusz Król, Gideon Juve, Claris Castillo
Publikováno v:
The International Journal of High Performance Computing Applications. 31:4-18
Computational science is well established as the third pillar of scientific discovery and is on par with experimentation and theory. However, as we move closer toward the ability to execute exascale calculations and process the ensuing extreme-scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3686f9028feb6e503b6ca0bf0ae64b6
https://doi.org/10.1177/1094342015594515
https://doi.org/10.1177/1094342015594515
Autor:
Ada Gavrilovska, Jeremy S. Meredith, Philip C. Roth, Kyle Spafford, Magda Slawinska, Karsten Schwan, Mitch Horton, John Wynkoop, Jack Dongarra, Stanimire Tomov, Jeffrey S. Vetter, Sudhakar Yalamanchili, Richard Glassbrook
Publikováno v:
Contemporary High Performance Computing ISBN: 9781351104005
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80beb66216c55edb6b4097dfc72f84ac
https://doi.org/10.1201/9781351104005-7
https://doi.org/10.1201/9781351104005-7
Autor:
Jeffrey S. Vetter, Justin M. LaPre, Shirley Moore, Mark Blanco, Misbah Mubarak, Christopher D. Carothers, Jeremy S. Meredith
Publikováno v:
SIGSIM-PADS
Performance modeling of extreme-scale applications on accurate representations of potential architectures is critical for designing next generation supercomputing systems because it is impractical to construct prototype systems at scale with new netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87ae6d8d31cb044dabf9a0d267c72e50
https://doi.org/10.1145/3064911.3064923
https://doi.org/10.1145/3064911.3064923
Autor:
Chun-Ming Chen, Kwan-Liu Ma, Jeremy S. Meredith, James Kress, Li-Ta Lo, Kenneth Moreland, Hank Childs, Matthew Larsen, Will Usher, Hendrik A. Schroots, Robert Maynard, David Pugmire, Berk Geveci, Christopher Sewell
Publikováno v:
IEEE computer graphics and applications. 36(3)
One of the most critical challenges for high-performance computing (HPC) scientific visualization is execution on massively threaded processors. Of the many fundamental changes we are seeing in HPC systems, one of the most profound is a reliance on n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::699d23f99c096ff6a5caca09b7ae831f
https://pubmed.ncbi.nlm.nih.gov/28113158
https://pubmed.ncbi.nlm.nih.gov/28113158
Autor:
E.W. Bethel, Christopher Sewell, Hank Childs, Torsten Kuhlen, Jeremy S. Meredith, Kenneth Moreland, Berk Geveci, William J. Schroeder
Publikováno v:
Computer. 46:34-42
As the visualization research community reorients its software to address up-coming challenges, it must successfully deal with diverse processor architectures, distributed systems, various data sources, massive parallelism, multiple input and output
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97f0895fb0ec2d8ec25ee05c0379c9fa
https://doi.org/10.1109/mc.2013.179
https://doi.org/10.1109/mc.2013.179
Publikováno v:
SC16: International Conference for High Performance Computing, Networking, Storage and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1733dfc82ac31c852bda3dc06bf6508a
https://doi.org/10.1109/sc.2016.23
https://doi.org/10.1109/sc.2016.23
Autor:
Vickie E. Lynch, Anirban Mandal, Rafael Ferreira da Silva, James Wynne, Rajiv Mayani, Ilya Baldin, Paul Ruth, Christopher D. Carothers, Ben Mayer, Justin M. LaPre, Gideon Juve, Ewa Deelman, Jeremy S. Meredith, Dariusz Król, Mark Blanco, Jeffrey S. Vetter, Brian Tierney
Publikováno v:
IPDPS Workshops
Modern science is often conducted on large scale, distributed, heterogeneous and high-performance computing infrastructures. Increasingly, the scale and complexity of both the applications and the underlying execution platforms have been growing. Sci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a2291a61f36a5570f1f43517b00c590
https://doi.org/10.1109/ipdpsw.2016.202
https://doi.org/10.1109/ipdpsw.2016.202
Autor:
R. Glassbrook, Jeffrey S. Vetter, Kyle Spafford, James H. Rogers, Jeremy S. Meredith, Jack Dongarra, Karsten Schwan, Sudhakar Yalamanchili, P. Roth, B. Loftis, S. McNally
Publikováno v:
Computing in Science & Engineering. 13:90-95
The Keeneland project's goal is to develop and deploy an innovative, GPU-based high-performance computing system for the NSF computational science community.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16c391ad83d0c6d3af671450d3ab0640
https://doi.org/10.1109/mcse.2011.83
https://doi.org/10.1109/mcse.2011.83