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== Abstract ==
Hama will develop a parallel matrix computational package based on [http://hadoop.apache.org
Hadoop] Map/Reduce.
== Proposal ==
 Hama will develop a highperformance parallel matrix computational package based on Hadoop
Map/Reduce. It will be useful for a massively largescale ''Numerical Analysis'' and ''Data
Mining'', which need the intensive computation power of matrix inversion, e.g. linear regression,
PCA, SVM and etc. It will be also useful for many scientific applications, e.g. physics computations,
linear algebra, computational fluid dynamics, statistics, graphic rendering and many more.
+ Hama will develop a '''highperformance''' and '''largescale''' parallel matrix computational
package based on Hadoop Map/Reduce. It will be useful for a massively largescale ''Numerical
Analysis'' and ''Data Mining'', which need the intensive computation power of matrix inversion,
e.g. linear regression, PCA, SVM and etc. It will be also useful for many scientific applications,
e.g. physics computations, linear algebra, computational fluid dynamics, statistics, graphic
rendering and many more.
== Background ==
Currently, several sharedmemory based parallel matrix solutions can provide a scalable
and high performance matrix operations, but matrix resources can not be scalable in the term
of complexity.

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