نتایج جستجو برای: beowulf

تعداد نتایج: 552  

1999
Forrest M. Hoffman William W. Hargrove

The authors present an application of multivariate non-hierarchical statistical clustering to geographic environmental data from the 48 conterminous United States in order to produce maps of regions of ecological similarity called ecore-gions. Nine input variables thought to aflect the growth of vegetation are clustered at a resolution of one square kilometer. These data represent over 7.8 mill...

Journal: :International Journal of Undergraduate Research and Creative Activities 2019

Journal: :Revista de filología de la Universidad de La Laguna 2021

This paper studies Tolkien’s interpretation of German heroism, taking as a starting point his essay-poem «The Homecoming Beorhtnoth Beorhthelm’s Son» on The Battle Maldon. Through academic texts Beowulf and Sigurd, well own legendarium, reading contribution are explored, placing the latter in dialogue with latest research, detailing lines scope ideas. After locating inflection that Tolkien mark...

Journal: :Epos 2022

Este artículo consiste en un análisis de la traducción Beowulf realizada por Tolkien 1926. El objetivo es explorar las modificaciones que su proceso traductológico aplica a aliteración, los kennings y arcaísmos, rasgos estilísticos esenciales poesía anglosajona. Estos cambios resultan inevitables dadas 1) diferencias entre convenciones poéticas anglosajonas el habla literatura inglesa contempor...

2004
Stephen Clark James R. Curran

This paper describes and evaluates log-linear parsing models for Combinatory Categorial Grammar (CCG). A parallel implementation of the L-BFGS optimisation algorithm is described, which runs on a Beowulf cluster allowing the complete Penn Treebank to be used for estimation. We also develop a new efficient parsing algorithm for CCG which maximises expected recall of dependencies. We compare mode...

2002
Philipp Miehe Adrian Sandu Gregory R. Carmichael Youhua Tang

PAQMSG is an MPI-based, Fortran 90 communication library for the parallelization of air quality models (AQMs) on structured grids. It consists of distribution, gathering and repartitioning routines for different domain decompositions implementing a master–worker strategy. The library is architecture and application independent and includes optimization strategies for different architectures. Th...

2002
G. Avoni M. Bargiotti A. Bertin M. Bruschi A. Carbone A. Collamati S. De Castro L. Fabbri P. Faccioli D. Galli B. Giacobbe I. Massa M. Piccinini N. Semprini Cesari R. Spighi S. Vecchi A. Zoccoli

The computing cluster built at Bologna to provide the LHCb Collaboration with a powerful Monte Carlo production tool is presented. It is a performance oriented Beowulf-class cluster, made of rack mounted commodity components, designed to minimize operational support requirements and to provide full and continuous availability of the computing resources. In this paper we describe the architectur...

Journal: :Philosophical transactions. Series A, Mathematical, physical, and engineering sciences 2005
Christopher J Woods Muan Hong Ng Steven Johnston Stuart E Murdock Bing Wu Kaihsu Tai Hans Fangohr Paul Jeffreys Simon Cox Jeremy G Frey Mark S P Sansom Jonathan W Essex

Biomolecular computer simulations are now widely used not only in an academic setting to understand the fundamental role of molecular dynamics on biological function, but also in the industrial context to assist in drug design. In this paper, two applications of Grid computing to this area will be outlined. The first, involving the coupling of distributed computing resources to dedicated Beowul...

2002
Shaojuan Zhu Dan Hammerstrom

The human brain is far superior to a modern computer in its ability to do associative recall. Many theorists believe that one of the important functions of primate neocortex is "associative memory". Palm’s network [1] is one of the most powerful associative memory models available. To study variations of this basic model, we have built a multiprocessor based Palm simulator that executes on our ...

2005
Canasai Kruengkrai Chuleerat Jaruskulchai

Text categorization is the process of classifying documents into predefined categories or classes based on their content. Since text data rapidly increase on the Internet, the scalability of the algorithm is required to handle such massive data. In this paper, we propose a parallel learning algorithm for text categorization based on the combination of the Expectation-Maximization (EM) algorithm...

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