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[[http://incubator.apache.org/hamaHama]] (means a hippopotamus in Korean) is a distributed
scientific package on Hadoop for massive matrix and graph data. It is currently in incubation
with Apache. The main goal of Hama is to provide computational tools for dataintensive scientific
and industrial areas. It consists of two packages, which are the matrix package and the graph
package.

 The matrix package (means a hippopotamus in Korean) is a library of matrix operations on
a Map/Reduce framework for a largescale numerical analysis and data mining, that need the
intensive computation power of matrix inversion, e.g., linear regression, PCA, SVM and etc.
It will be useful for many scientific applications, e.g., physics computations, linear algebra,
computational fluid dynamics, statistics, graphic rendering and many more.

 The graph package, is an largescale graph data management framework for analytical processing.
It is still an ongoing project. It will employ massive parallelism on Hadoop. It aims to achieve
the scalability for tera bytes or peta bytes graph data. It will be used in a variety of scientific
and industrial areas, such as data mining, machine learning, information retrieval, bioinformatics,
and social networks, required to process largescale graph data.
== General Information ==
@@ 27, +23 @@
== User Documentation ==
* Examples
 * [[MatMultMultiplication of two matrices with Hama]]
+ * [[MatMultMultiplication Of Two Matrices]]
+ * [[MatrixNormMatrix Norms]]
== Developer Documentation ==
