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» Parallel PSO using MapReduce
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IPPS
2009
IEEE
14 years 4 months ago
The effect of population density on the performance of a spatial social network algorithm for multi-objective optimisation
—Particle Swarm Optimisation (PSO) is increasingly being applied to optimisation of multi-objective problems in engineering design and scientific investigation. This paper inves...
Andrew Lewis
CLUSTER
2009
IEEE
13 years 7 months ago
MITHRA: Multiple data independent tasks on a heterogeneous resource architecture
With the advent of high-performance COTS clusters, there is a need for a simple, scalable and faulttolerant parallel programming and execution paradigm. In this paper, we show that...
Reza Farivar, Abhishek Verma, Ellick Chan, Roy H. ...
CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 10 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
GPC
2009
Springer
13 years 7 months ago
Application Level Interoperability between Clouds and Grids
SAGA is a high-level programming interface which provides the ability to develop distributed applications in an infrastructure independent way. In an earlier paper, we discussed ho...
André Merzky, Katerina Stamou, Shantenu Jha
SIGMOD
2012
ACM
234views Database» more  SIGMOD 2012»
12 years 7 days ago
Oracle in-database hadoop: when mapreduce meets RDBMS
Big data is the tar sands of the data world: vast reserves of raw gritty data whose valuable information content can only be extracted at great cost. MapReduce is a popular parall...
Xueyuan Su, Garret Swart