Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jay Larson"'
Publikováno v:
SIAM Journal on Scientific Computing. 37:C331-C353
This paper continues to develop a fault tolerant extension of the sparse grid combination technique recently proposed in [B. Harding and M. Hegland, ANZIAM J. Electron. Suppl., 54 (2013), pp. C394--C411]. This approach to fault tolerance is novel for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::147be0d0bd7f98b9ccfcc6d1aee46d73
https://doi.org/10.1137/140964448
https://doi.org/10.1137/140964448
Autor:
Alistair P. Rendell, Mohsin Ali, Jay Larson, Linda Stals, R. H. Nobes, Christoph Kowitz, Markus Hegland, Brendan Harding, Nicholas Wilson, James Southern, Peter Strazdins, Michael Li, Yasuyuki Oishi, Stephen Roberts
Publikováno v:
ICCS
A key issue confronting petascale and exascale computing is the growth in probability of soft and hard faults with increasing system size. A promising approach to this problem is the use of algorithms that are inherently fault tolerant. We introduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::819c9aa15c6da1f2ba40f459c4700661
Autor:
Jay Larson, Michael C. Munger
Publikováno v:
Digital Kenya ISBN: 9781137578808
Knowledge and technology can combine to change societies dramatically, creating opportunities that were previously unthinkable. Many African nations now stand at the threshold of revolutionary changes based on information communication technologies (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::356323a3d028d0a4873e7aa45f4d0875
https://doi.org/10.1057/978-1-137-57878-5_5
https://doi.org/10.1057/978-1-137-57878-5_5
Publikováno v:
ICCS
We explore the use of block entropy as a dynamics classifier for meteorological timeseries data. The block entropy estimates define the entropy growth curve H(L) with respect to block length L. For a finitary process, the entropy growth curve tends t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc512832f3cd11617f9fa25401837ff0
https://doi.org/10.1016/j.procs.2011.04.172
https://doi.org/10.1016/j.procs.2011.04.172
Publikováno v:
International Journal for Multiscale Computational Engineering. 6:39-51
Multiphysics and multiscale simulation systems share a common software requirement-infrastructure to implement data exchanges between their constituent parts-often called the coupling problem. On distributed-memory parallel platforms, the coupling pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99a43b0e386416689db4ae2235cf35b5
https://doi.org/10.1615/intjmultcompeng.v6.i1.40
https://doi.org/10.1615/intjmultcompeng.v6.i1.40
Publikováno v:
HPCS
Applications performing ultra-large scale simulations via solving PDEs require very large computational systems for their timely solution. Studies have shown the rate of failure grows with the system size and these trends are likely to worsen in futu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::785f2e93a7046a484ab2ebf712d51b31
https://doi.org/10.1109/hpcsim.2015.7237082
https://doi.org/10.1109/hpcsim.2015.7237082
Autor:
Kostadin Damevski, Jay Larson, James Arthur Kohl, David E. Bernholdt, Randall Bramley, Alan Sussman, Felipe Bertrand
Publikováno v:
Journal of Parallel and Distributed Computing. 66:931-946
With the increasing availability of high-performance massively parallel computer systems, the prevalence of sophisticated scientific simulation has grown rapidly. The complexity of the scientific models being simulated has also evolved, leading to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c11fad0da0847143e53174fd626efae2
https://doi.org/10.1016/j.jpdc.2005.12.009
https://doi.org/10.1016/j.jpdc.2005.12.009
Autor:
Yun He, Chris Ding, Brian Kauffman, Robert Jacob, Tom Bettge, Jay Larson, Anthony Craig, Everest Ong
Publikováno v:
The International Journal of High Performance Computing Applications. 19:309-327
Coupled climate models are large, multiphysics applications designed to simulate the Earth’s climate and predict the response of the climate to any changes in the forcing or boundary conditions. The Community Climate System Model (CCSM) is a widely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::471f22b2beee378f066a7fbe317840ab
https://doi.org/10.1177/1094342005056117
https://doi.org/10.1177/1094342005056117
Publikováno v:
The International Journal of High Performance Computing Applications. 19:293-307
The Model Coupling Toolkit (MCT) is a software library for constructing parallel coupled models from individual parallel models. MCT was created to address the challenges of creating a parallel coupler for the Community Climate System Model (CCSM). E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::deeac434311d58a69e3d8afa2b16971e
https://doi.org/10.1177/1094342005056116
https://doi.org/10.1177/1094342005056116
Publikováno v:
The International Journal of High Performance Computing Applications. 19:277-292
Many problems in science and engineering are best simulated as a set of mutually interacting models, resulting in a coupled or multiphysics model. These models present challenges stemming from their interdisciplinary nature and from their computation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cb83489806d9204e36a6ca023028e07
https://doi.org/10.1177/1094342005056115
https://doi.org/10.1177/1094342005056115