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» Performance Modeling of Scientific Applications: Scalability...
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IPPS
2005
IEEE
14 years 3 months ago
Predictive Performance Modelling of Parallel Component Composition
Large-scale scientific computing applications frequently make use of closely-coupled distributed parallel components. The performance of such scientific applications is therefore ...
Lei Zhao, Stephen A. Jarvis, Daniel P. Spooner, Gr...
SSDBM
1999
IEEE
140views Database» more  SSDBM 1999»
14 years 2 months ago
An Infrastructure for Scalable Parallel Multidimensional Analysis
Multidimensional Analysis in On-Line Analytical Processing (OLAP), and Scientific and statistical databases (SSDB) use operations requiring summary information on multi-dimensiona...
Sanjay Goil, Alok N. Choudhary
SC
2009
ACM
14 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
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
14 years 10 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
HPDC
2010
IEEE
13 years 11 months ago
Comparison of resource platform selection approaches for scientific workflows
Cloud computing is increasingly considered as an additional computational resource platform for scientific workflows. The cloud offers opportunity to scale-out applications from d...
Yogesh L. Simmhan, Lavanya Ramakrishnan