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95
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IPPS
2008
IEEE
15 years 4 months ago
A modeling approach for estimating execution time of long-running scientific applications
In a Grid computing environment, resources are shared among a large number of applications. Brokers and schedulers find matching resources and schedule the execution of the applic...
Seyed Masoud Sadjadi, Shu Shimizu, Javier Figueroa...
SC
2009
ACM
15 years 4 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
92
Voted
HPCC
2010
Springer
14 years 8 months ago
Performance Analysis of Scientific and Engineering Applications Using MPInside and TAU
In this paper, we present performance analysis of two NASA applications using performance tools like Tuning and Analysis Utilities (TAU) and SGI MPInside. MITgcmUV and OVERFLOW ar...
Subhash Saini, Piyush Mehrotra, Kenichi Taylor, Sa...
TCS
2008
14 years 10 months ago
Election and rendezvous with incomparable labels
In "Can we elect if we cannot compare" (SPAA'03), Barri`ere, Flocchini, Fraigniaud and Santoro consider a qualitative model of distributed computing, where the label...
Jérémie Chalopin
ISPA
2007
Springer
15 years 4 months ago
Grid and Distributed Public Computing Schemes for Structural Proteomics: A Short Overview
Grid and distributed public computing schemes has become an essential tool for many scientific fields including bioinformatics, computational biology and systems biology. The adopt...
Azhar Ali Shah, Daniel Barthel, Natalio Krasnogor