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» A distributed machine learning framework
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PPPJ
2006
ACM
15 years 9 months ago
Enabling Java mobile computing on the IBM Jikes research virtual machine
Today’s complex applications must face the distribution of data and code among different network nodes. Java is a wide-spread language that allows developers to build complex so...
Giacomo Cabri, Letizia Leonardi, Raffaele Quitadam...
PDP
2010
IEEE
15 years 7 months ago
hwloc: A Generic Framework for Managing Hardware Affinities in HPC Applications
The increasing numbers of cores, shared caches and memory nodes within machines introduces a complex hardware topology. High-performance computing applications now have to carefull...
François Broquedis, Jérôme Cle...
ICML
2009
IEEE
16 years 3 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
ICPP
2000
IEEE
15 years 7 months ago
Match Virtual Machine: An Adaptive Runtime System to Execute MATLAB in Parallel
MATLAB is one of the most popular languages for desktop numerical computations as well as for signal and image processing applic ations. Applying parallel processing techniques to...
Malay Haldar, Anshuman Nayak, Abhay Kanhere, Pramo...
ACML
2009
Springer
15 years 7 months ago
Learning Algorithms for Domain Adaptation
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Manas A. Pathak, Eric Nyberg