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» Hardening Functions for Large Scale Distributed Computations
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ICCS
2003
Springer
14 years 4 months ago
Parallelisation of Sparse Grids for Large Scale Data Analysis
Sparse Grids are the basis for efficient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of si...
Jochen Garcke, Markus Hegland, Ole Møller N...
CCGRID
2007
IEEE
14 years 5 months ago
Parameter Sweeps for Functional MRI Research in the "Virtual Laboratory for e-Science" Project
Image analysis is an important component of neuroscience research. The ICT infrastructure and technical knowledge needed to perform (large scale) neuroimaging studies, however, is...
Sílvia Delgado Olabarriaga, Aart J. Nederve...
EUROPAR
2004
Springer
14 years 4 months ago
FlowVR: A Middleware for Large Scale Virtual Reality Applications
This paper introduces FlowVR, a middleware dedicated to virtual reality applications distributed on clusters or grid environments. FlowVR supports coupling of heterogeneous paralle...
Jérémie Allard, Valérie Goura...
ICS
1993
Tsinghua U.
14 years 2 months ago
Dynamic Control of Performance Monitoring on Large Scale Parallel Systems
Performance monitoring of large scale parallel computers creates a dilemma: we need to collect detailed information to find performance bottlenecks, yet collecting all this data ...
Jeffrey K. Hollingsworth, Barton P. Miller
ICPPW
2009
IEEE
13 years 8 months ago
A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data
Identifying peptides, which are short polymeric chains of amino acid residues in a protein sequence, is of fundamental importance in systems biology research. The most popular appr...
Gaurav Ramesh Kulkarni, Ananth Kalyanaraman, Willi...