Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Craig E. Rasmussen"'
Publikováno v:
Encyclopedia of Computer Science and Technology ISBN: 9781315115894
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85ac8cbd8586e0bc9ec72b9bd1bcb126
https://doi.org/10.1201/9781315115894-29
https://doi.org/10.1201/9781315115894-29
Publikováno v:
Encyclopedia of Computer Science and Technology ISBN: 9781315115894
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8efe5cc5945bf068ad740fd6c782032
https://doi.org/10.1201/9781315115894-62
https://doi.org/10.1201/9781315115894-62
Publikováno v:
The Journal of Supercomputing. 36:123-134
In this paper, we describe a Python-based framework for the rapid prototyping of scientific applications. A case study was performed using a problem specification developed for Marmot, a project at the Los Alamos National Laboratory aimed at re-facto
Autor:
Dennis Gannon, Benjamin A. Allan, David E. Bernholdt, Curtis L. Janssen, Manojkumar Krishnan, Craig E. Rasmussen, Tamara L. Dahlgren, Steven G. Parker, Yuri Alexeev, Gary Kumfert, Theresa L. Windus, Robert C. Armstrong, Lois Curfman McInnes, Jarek Nieplocha, James Arthur Kohl, Joseph P. Kenny
Publikováno v:
Journal of Physics: Conference Series. 16:536-540
Recent advances in both computational hardware and multidisciplinary science have given rise to an unprecedented level of complexity in scientific simulation software. This paper describes an ongoing grass roots effort aimed at addressing complexity
Autor:
Craig E. Rasmussen, Allen D. Malony, Nick Trebon, Sameer Shende, Jaideep Ray, Robert C. Armstrong, Matthew J. Sottile
Publikováno v:
Concurrency and Computation: Practice and Experience. 17:117-141
This work targets the emerging use of software component technology for high-performance scientific parallel and distributed computing. While component software engineering will benefit the construction of complex science applications, its use presen
Autor:
Mitchel W. Sukalski, Craig E. Rasmussen, L. Dean Risinger, David Daniel, Sung-Eun Choi, Ronald G. Minnich, Nehal Desai, Richard L. Graham
Publikováno v:
International Journal of Parallel Programming. 31:285-303
The Los Alamos Message Passing Interface (LA-MPI) is an end-to-end network-failure-tolerant message-passing system designed for terascale clusters. LAMPI is a standard-compliant implementation of MPI designed to tolerate network-related failures incl
Autor:
Michael I. Ham, Vadas Gintautas, Garrett T. Kenyon, Ilya Nemenman, Craig E. Rasmussen, Shawn Barr, Steven P. Brumby, Luís M. A. Bettencourt, John S. George, Benjamin Kunsberg
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 10, p e1002162 (2011)
PLoS Computational Biology
PLoS Computational Biology
Can lateral connectivity in the primary visual cortex account for the time dependence and intrinsic task difficulty of human contour detection? To answer this question, we created a synthetic image set that prevents sole reliance on either low-level
Autor:
Robert W. Robey, Wayne N. Weseloh, Matthew J. Sottile, Daniel J. Quinlan, Jeffrey Overbey, Craig E. Rasmussen
Emerging GPU architectures for high performance computing are well suited to a data-parallel programming model. This paper presents preliminary work examining a programming methodology that provides Fortran programmers with access to these emerging s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b8748703276c90fb72b93e93d959050
Autor:
Sriram Swaminarayan, Craig E. Rasmussen, Steven P. Brumby, Luís M. A. Bettencourt, Garrett T. Kenyon, Will Landecker
Publikováno v:
AIPR
Neuroscience has revealed many properties of neurons and of the functional organization of visual cortex that are believed to be essential to human vision, but are missing in standard artificial neural networks. Equally important may be the sheer sca
Autor:
Craig E Rasmussen
Publikováno v:
Introduction to Concurrency in Programming Languages ISBN: 9780429140846
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::478fb546e3600bf51245ad6c18218da2
https://doi.org/10.1201/b17174-13
https://doi.org/10.1201/b17174-13