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» Co-Scheduling of Computation and Data on Computer Clusters
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PVLDB
2010
146views more  PVLDB 2010»
13 years 1 months ago
HaLoop: Efficient Iterative Data Processing on Large Clusters
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
CCGRID
2007
IEEE
14 years 1 months ago
Profiling Computation Jobs in Grid Systems
The existence of good probabilistic models for the job arrival process and job characteristics is important for the improved understanding of grid systems and the prediction of th...
Michael Oikonomakos, Kostas Christodoulopoulos, Em...
HICSS
1999
IEEE
121views Biometrics» more  HICSS 1999»
13 years 11 months ago
Evaluation of the JIAJIA Software DSM System on High Performance Computer Architectures
Distributed Shared Memory (DSM) combines the scalability of loosely coupled multicomputer systems with the ease of usability of tightly coupled multiprocessors, and allows transpa...
M. Rasit Eskicioglu, T. Anthony Marsland, Weiwu Hu...
CCGRID
2003
IEEE
14 years 1 days ago
Magnetic Resonance Imaging (Mri) Simulation On A Grid Computing Architecture
In this paper, we present the implementation of a Magnetic Resonance Imaging (MRI) simulator on a GRID computing architecture. The simulation process is based on the resolution of...
Hugues Benoit-Cattin, F. Bellet, Johan Montagnat, ...
CVPR
2011
IEEE
12 years 10 months ago
Max-margin Clustering: Detecting Margins from Projections of Points on Lines
Given a unlabelled set of points X ∈ RN belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We...
Raghuraman Gopalan, Jagan Sankaranarayanan