Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Brian T. N. Gunney"'
Autor:
R W Anderson, Brian T. N. Gunney
Publikováno v:
Journal of Parallel and Distributed Computing. 89:65-84
Patch-based structured adaptive mesh refinement (SAMR) is widely used for high-resolution simulations. Combined with modern supercomputers, it could provide simulations of unprecedented size and resolution. A persistent challenge for this combination
Autor:
Alice Koniges, Nathan Masters, R W Anderson, Brian T. N. Gunney, T B Kaiser, D S Bailey, D. C. Eder, Aaron Fisher
Publikováno v:
Plasma Science and Technology. 17:109-116
We present a novel method for the solution of the diffusion equation on a composite AMR mesh. This approach is suitable for including diffusion based physics modules to hydrocodes that support ALE and AMR capabilities. To illustrate, we proffer our i
Three codes were tested at LLNL as part of a Tri-Lab effort to make detailed assessments of several proxy applications on various advanced architectures, with the eventual goal of extending these assessments to codes of programmatic interest running
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23ed4be847957b431266a840e7890238
https://doi.org/10.2172/1224409
https://doi.org/10.2172/1224409
Autor:
Brian T. N. Gunney, Rolf Rabenseifner, Subhash Saini, Sunil R. Tiyyagura, Matthias S. Mueller, Panagiotis Adamidis, Don Dossa, Robert Ciotti, Thomas E. Spelce, Alice Koniges
Publikováno v:
Journal of Computer and System Sciences. 74(6):965-982
The HPC Challenge (HPCC) Benchmark suite and the Intel MPI Benchmark (IMB) are used to compare and evaluate the combined performance of processor, memory subsystem and interconnect fabric of five leading supercomputers—SGI Altix BX2, Cray X1, Cray
Publikováno v:
Journal of Parallel and Distributed Computing. 66:1419-1430
We compare several different parallel implementation approaches for the clustering operations performed during adaptive meshing operations in patch-based structured adaptive mesh refinement (SAMR) applications. Specifically, we target the clustering
Autor:
Marilyn Schneider, Brian T. N. Gunney, R W Anderson, B. J. MacGowan, P Wang, R Becker, David C. Eder, Alice Koniges
Publikováno v:
Journal de Physique IV (Proceedings). 133:587-593
Incorporation of adaptive mesh refinement (AMR) into Lagrangian hydrodynamics algorithms allows for the creation of a highly powerful simulation tool effective for complex target designs with three-dimensional structure. We are developing an advanced
Autor:
Brian T. N. Gunney, R W Anderson, Pamela K. Whitman, J. G. Koerner, B. J. MacGowan, Harry Robey, Mary L. Spaeth, Tayyab I. Suratwala, M. T. Tobin, S. N. Dixit, Thomas Gene Parham, Alice Koniges, B. E. Blue, J. F. Hansen, P Wang, David C. Eder
Publikováno v:
Journal de Physique IV (Proceedings). 133:721-725
For experimental campaigns on the National Ignition Facility (NIF) to be successful, they must obtain useful data without causing unacceptable impact on the facility. Of particular concern is excessive damage to optics and diagnostic components. Ther
Autor:
Brian T. N. Gunney, Todd Gamblin, David Beckingsale, J. A. Herdman, Richard D. Hornung, Wayne Gaudin, Stephen A. Jarvis
Block-structured adaptive mesh refinement is a technique that can be used when solving partial differential equations to reduce the number of zones necessary to achieve the required accuracy in areas of interest. These areas (shock fronts, material i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87b44dd0a6d5e93dc5640e998a3743a0
https://doi.org/10.2172/1184094
https://doi.org/10.2172/1184094
Autor:
Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, Bernd Hamann
Publikováno v:
2012 International Conference for High Performance Computing, Networking, Storage and Analysis.
A Predictive Model of Fragmentation using Adaptive Mesh Refinement and a Hierarchical Material Model
Autor:
D C Eder, P Wang, T B Kaiser, Brian T. N. Gunney, M A Meyers, D H Kalantar, N. Masters, A C Fisher, A. Koniges, R W Anderson, J. F. Hansen, D Benson, H Jarmakani, P Dixit, Brian Maddox
Fragmentation is a fundamental material process that naturally spans spatial scales from microscopic to macroscopic. We developed a mathematical framework using an innovative combination of hierarchical material modeling (HMM) and adaptive mesh refin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e9b06ccb340d69ce313dabc373216c5
https://doi.org/10.2172/950085
https://doi.org/10.2172/950085