Zobrazeno 1 - 10
of 17
pro vyhledávání: '"J. Walter Larson"'
Publikováno v:
ICCS
Model coupling is a method to simulate complex multiphysics and multiscale phenomena. Most approaches involve static data distribution among processes without the consideration of top-level dynamic load balancing. Malleability, the ability to change
Autor:
J. Walter Larson
Publikováno v:
ICCS
Coupled model development presents a set of challenges broadly called the coupling problem; message-passing parallelism complicates matters, resulting in the parallel coupling problem. Performance tuning of parallel coupled systems is complex and per
Autor:
Ranga Raju Vatsavai, Auroop R. Ganguly, Bjorn-Gustaf J. Brooks, Jian Huang, William W. Hargrove, Jitendra Kumar, Forrest M. Hoffman, J. Walter Larson, Richard T. Mills
Publikováno v:
ICCS
From field-scale measurements to global climate simulations and remote sensing, the growing body of very large and long time series Earth science data are increasingly difficult to analyze, visualize, and interpret. Data mining, information theoretic
Autor:
Jaideep Ray, Steven G. Parker, Robert C. Armstrong, Madhusudhan Govindaraju, Daniel S. Katz, Kenneth Chiu, Boyana Norris, Sophia Lefantzi, James Arthur Kohl, Lois C. Mclnnes, Gary Kumfert, Sameer Shende, J. Walter Larson, Shujia Zhou, Benjamin A. Allan, T Epperly, David E. Bernholdt, Manojkumar Krishnan, Theresa L. Windus, Kostadin Damevski, Jarek Nieplocha, Tamara L. Dahlgren, Allen D. Malony, Michael J. Lewis, Felipe Bertrand, Wael R. Elwasif
Publikováno v:
The International Journal of High Performance Computing Applications. 20:163-202
The Common Component Architecture (CCA) provides a means for software developers to manage the complexity of large-scale scientific simulations and to move toward a plug-and-play environment for high-performance coputing. In the scientific computing
Publikováno v:
ISPA
Dynamic load balancing both within and between constituent subsystems is required to achieve ultra scalability in coupled multi physics and multi scale models. Inter constituent dynamic load balancing requires runtime resizing -- or malleability -- o
Publikováno v:
CCGRID
Achieving ultra scalability in coupled multiphysics and multiscale models requires dynamic load balancing both within and between their constituent subsystems. Interconstituent dynamic load balance requires runtime resizing -- or malleability -- of s
Autor:
J. Walter Larson
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642019692
ICCS (1)
ICCS (1)
Multiphysics and multiscale---or coupled ---systems share one fundamental requirement: Construction of coupling mechanisms to implement complex data exchanges between a system's constituent models. I have created a graphical schema for describing cou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e9dbc548571670be6bd897689438649
https://doi.org/10.1007/978-3-642-01970-8_74
https://doi.org/10.1007/978-3-642-01970-8_74
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783642042041
DASFAA Workshops
DASFAA Workshops
Primary motivations for effective data and process provenance in science are to facilitate validation and reproduction of experiments and to assist in the interpretation of data-analysis outcomes. Central to both these aims is an understanding of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea52205ee95ae431d1524891c24df790
https://doi.org/10.1007/978-3-642-04205-8_11
https://doi.org/10.1007/978-3-642-04205-8_11
Autor:
Boyana Norris, J. Walter Larson
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540744825
ICCSA (3)
ICCSA (3)
Coupled systems comprise multiple mutually interacting sub-systems, and are an increasingly common computational science application, most notably as multiscale and multiphysics models. Parallel computing, and in particular message-passing programmin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a5de4487ad70ec24ca41e64b80e634b
https://doi.org/10.1007/978-3-540-74484-9_6
https://doi.org/10.1007/978-3-540-74484-9_6
Publikováno v:
Computational Science – ICCS 2007 ISBN: 9783540725831
International Conference on Computational Science (1)
International Conference on Computational Science (1)
Multiphysics and multiscale simulation systems are emerging as a new grand challenge in computational science, largely because of increased computing power provided by the distributed-memory parallel programming model on commodity clusters. These sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80ac38373b7f9a53458bb29d929b4ec2
https://doi.org/10.1007/978-3-540-72584-8_122
https://doi.org/10.1007/978-3-540-72584-8_122