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From Apache Wiki <wikidi...@apache.org>
Subject [Hadoop Wiki] Update of "Hama" by udanax
Date Wed, 28 May 2008 11:13:11 GMT
Dear Wiki user,

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The following page has been changed by udanax:

The comment on the change is:
Move to incubator.

- [http://wiki.apache.org/hadoop-data/attachments/Hama/attachments/hama-medium.png]
+ deleted
- == Introduction ==
- '''Hama''' is a parallel matrix computational package based on Hadoop Map/Reduce. ''(Hama
is in korean, which means 'Hippo').'' It will be useful for a massively large-scale ''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.
- Currently, several shared-memory 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.  The '''Hama''' approach proposes the use of 2-dimensional Row and Column(Qualifier)
space and multi-dimensional Columnfamilies of Hbase, which is able to store large sparse and
various type of matrices (e.g. Triangular Matrix, 3D Matrix, and etc.).  In addition, auto-partitioned
sparsity sub-structure will be efficiently managed and serviced by Hbase. Row and Column operations
can be done in linear-time, where several algorithms such as structured Gaussian elimination
and iterative methods run in O(~-the number of non-zero elements in the matrix-~ / ~-number
of mappers (processors/cores)-~) time on Hadoop Map/Reduce. 
-  * http://wiki.apache.org/incubator/HamaProposal

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