Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Michael Welcome"'
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
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
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
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
Publikováno v:
SC
Optimized collective operations are a crucial performance factor for many scientific applications. This work investigates the design and optimization of collectives in the context of Partitioned Global Address Space (PGAS) languages such as Unified P
Autor:
Brian J. Miller, Bronis R. de Supinski, Michael Welcome, Andrew W. Cook, Robert K. Yates, William H. Cabot, Peter Williams
Publikováno v:
SC
We describe Miranda, a massively parallel spectral/compact solver for variabledensity incompressible flow, including viscosity and species diffusivity effects. Miranda utilizes FFTs and band-diagonal matrix solvers to compute spatial derivatives to a
Autor:
Craig Tull, Michael Welcome, William P. Baird, Cary L. Whitney, Gregory F. Butler, Rei C. Lee
LBNL-52456 (2003) The Global Unified Parallel File System (GUPFS) Project: FY 2003 Activities and Results Gregory F. Butler (Project Lead), 1 William P. Baird, 1 Rei C. Lee, 1 Craig E. Tull, 1 Michael L. Welcome, 2 Cary L. Whitney 1 NERSC Center Divi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd4762863e1c647741b035256d8f2197
https://doi.org/10.2172/827569
https://doi.org/10.2172/827569
The Global Unified Parallel File System (GUPFS) project is a multiple-phase, five-year project at the National Energy Research Scientific Computing (NERSC) Center to provide a scalable, high performance, high bandwidth, shared file system for all the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::857f97a6db73332f64a58002d0af907d
https://doi.org/10.2172/815502
https://doi.org/10.2172/815502