Zobrazeno 1 - 10
of 471
pro vyhledávání: '"Michael Welcome"'
Publikováno v:
Lancet (London, England) [Lancet] 2013 Jan 26; Vol. 381 (9863), pp. 268.
Autor:
null The Lancet
Publikováno v:
Lancet (London, England). 381(9863)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32b27f1e1a48f1a04ef5e4ee8591e4c8
https://pubmed.ncbi.nlm.nih.gov/23622283
https://pubmed.ncbi.nlm.nih.gov/23622283
Autor:
Ümit V. Çatalyürek, Mehul Patel, Alan Gara, Robert K. Yates, Martin Schulz, José E. Moreira, Bor Chan, Kai Kadau, William Clarence McLendon, Franz Franchetti, Peter Williams, Andy Yoo, Keith Henderson, Bob Walkup, Bruce Hendrickson, Timothy C. Germann, George Almási, Christoph Überhuber, Erik W. Draeger, James C. Sexton, John A. Gunnels, Andrew W. Cook, Edmond Chow, Stefan Kral, Frederick H. Streitz, Vasily V. Bulatov, Jeffrey Greenough, Gyan Bhanot, Steve Louis, C. A. Rendleman, Manish Gupta, Charles J. Archer, Michael Welcome, Jürgen Lorenz, Francois Gygi, William H. Cabot, Bronis R. de Supinski, Alison Kubota, Peter S. Lomdahl, Brian J. Miller, Thomas E. Spelce, James N. Glosli
Publikováno v:
The International Journal of High Performance Computing Applications. 22:33-51
BlueGene/L (BG/L), developed through a partnership between IBM and Lawrence Livermore National Laboratory (LLNL), is currently the world's largest system both in terms of scale, with 131,072 processors, and absolute performance, with a peak rate of 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72ffb45de628e71610513286f6c0a042
https://doi.org/10.1177/1094342007085025
https://doi.org/10.1177/1094342007085025
Publikováno v:
Journal of Computational Physics. 142:1-46
In this paper we present a method for solving the equations governing time-dependent, variable density incompressible flow in two or three dimensions on an adaptive hierarchy of grids. The method is based on a projection formulation in which we first
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::994ff676de9f58aeefe26c54ccd22d1f
https://doi.org/10.1006/jcph.1998.5890
https://doi.org/10.1006/jcph.1998.5890
Publikováno v:
Journal of Computational Physics. 120:278-304
In this paper we describe an adaptive Cartesian grid method for modeling time-dependent inviscid compressible flow in irregular regions. In this approach a body is treated as an interface embedded in a regular Cartesian mesh. The single grid algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a29aed0ed6f48f0606efee97afa9e50
https://doi.org/10.1006/jcph.1995.1165
https://doi.org/10.1006/jcph.1995.1165
Publikováno v:
11th International Conference on Numerical Methods in Fluid Dynamics ISBN: 9783540510482
Higher-order versions of Godunov's method have proven highly successful for high-Mach-number compressible flow. One goal of the research being described in this paper is to extend the range of applicability of these methods to more general systems of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4841ea037f9f27ab5ec38de177ba5934
https://doi.org/10.1007/3-540-51048-6_15
https://doi.org/10.1007/3-540-51048-6_15
Autor:
Jason Duell, Kaushik Datta, Michael Welcome, Susan L. Graham, Costin Iancu, Parry Husbands, Tong Wen, Dan Bonachea, Amir Kamil, Jimmy Su, Paul Hargrove, Rajesh Nishtala, Katherine Yelick, Wei-Yu Chen, Paul N. Hilfinger, Phillip Colella
Publikováno v:
Yelick, K; Bonachea, D; Chen, WY; Colella, P; Datta, K; Duell, J; et al.(2007). Productivity and performance using partitioned global address space languages. PASCO'07: Proceedings of the 2007 International Workshop on Parallel Symbolic Computation, 24-32. doi: 10.1145/1278177.1278183. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/3mr1z9f8
PASCO
PASCO
Partitioned Global Address Space (PGAS) languages combine the programming convenience of shared memory with the locality and performance control of message passing. One such language, Unified Parallel C (UPC) is an extension of ISO C defined by a con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fa9435966d62a3c38fea687f8fd7e2b
https://escholarship.org/uc/item/3mr1z9f8
https://escholarship.org/uc/item/3mr1z9f8
Publikováno v:
Conf. Computing Frontiers
Welcome, Michael; Rendleman, Charles; Oliker, Leonid; & Biswas, Rupak. (2006). Performance Characteristics of an Adaptive Mesh Refinement Calculation on Scalar and Vector Platforms. Lawrence Berkeley National Laboratory. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/7gq4p4jf
Welcome, Michael; Rendleman, Charles; Oliker, Leonid; & Biswas, Rupak. (2006). Performance Characteristics of an Adaptive Mesh Refinement Calculation on Scalar and Vector Platforms. Lawrence Berkeley National Laboratory. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/7gq4p4jf
Adaptive mesh refinement (AMR) is a powerful technique that reduces the resources necessary to solve otherwise in-tractable problems in computational science. The AMR strategy solves the problem on a relatively coarse grid, and dynamically refines it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df0d8fda3db92db78d9d29473c4876c2
https://doi.org/10.1145/1128022.1128074
https://doi.org/10.1145/1128022.1128074