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http://wiki.apache.org/incubator/HamaProposal
The comment on the change is:
add a developer (min cha)

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.
== Rationale ==
 Hama approach proposes the use of 2dimensional Row and Column (Qualifier) space and multidimensional
Columnfamilies of [http://hadoop.apache.org/hbase Hbase], which is able to store large sparse
and various type of matrices (e.g. Triangular Matrix, 3D Matrix, and etc.). its autopartitioned
sparsity substructure will be efficiently managed and serviced by Hbase. Row and Column operations
can be done in lineartime, where several algorithms, such as ''structured Gaussian elimination''
or ''iterative methods'', run in O(the number of nonzero elements in the matrix/ number of
mappers) time on Hadoop Map/Reduce.
+ Hama approach proposes the use of 3dimensional Row and Column (Qualifier), Time space and
multidimensional Columnfamilies of [http://hadoop.apache.org/hbase Hbase], which is able
to store large sparse and various type of matrices (e.g. Triangular Matrix, 3D Matrix, and
etc.). its autopartitioned sparsity substructure will be efficiently managed and serviced
by Hbase. Row and Column operations can be done in lineartime, where several algorithms,
such as ''structured Gaussian elimination'' or ''iterative methods'', run in O(the number
of nonzero elements in the matrix/ number of mappers) time on Hadoop Map/Reduce.
== Current Status ==
 Currently, generalized matrix interface and basic linear algebra operations was implemented
within a large prototype system, However, We need new algorithms based on Map/Reduce for decompositions
and factorizations.
+ Currently, generalized matrix interface and basic linear algebra operations was implemented
within a large prototype system, However, We need new parallel algorithms based on Map/Reduce
for performance of heavy decompositions and factorizations.
== Meritocracy ==
@@ 27, +27 @@
The initial set of committers includes folks from the [http://hadoop.apache.org Hadoop]
& [http://hadoop.apache.org/hbase Hbase] communities. We have varying degrees of experience
with Apachestyle open source development, ranging from none to ASF Members.
 * Edward Yoon, Master of mathematics, Servcie Development Center, NHN
 * Chanwit Kaewkasi, Ph.D candidate, University of Manchester

== Alignment ==
The developers of Hama want to work with the Apache Software Foundation specifically because
Apache has proven to provide a strong foundation and set of practices for developing standardsbased
infrastructure and server components.
@@ 41, +38 @@
We has already a good experience with Apache open source development process.
=== Homogenous Developers ===
 With only two core developers, at least they are not homogenous, Edward and Chanwit knew
each other only due to their common interest in Hama.
+ With only three core developers, at least they are not homogenous, Edward, Min Cha and Chanwit
knew each other only due to their common interest in Hama.
=== Reliance on Salaried Developers ===
 Edward is a fulltime open source developer at NHN, and Chanwit is a Ph.D student in computer
science.
+ Edward, Min Cha are the developer related with statistics and math, data mining at NHN,
and Chanwit is a Ph.D student in computer science.
=== Relationships with Other Apache Products ===
Hama has a strong relationship with Apache [http://hadoop.apache.org Hadoop] & [http://hadoop.apache.org/hbase
Hbase]. Being part of Apache could help for a closer collaboration between the three projects.
@@ 75, +72 @@
* A JIRA issue tracker
== Initial Committers ==
+
* Edward Yoon (edward AT udanax DOT org)
* Chanwit Kaewkasi (chanwit AT gmail DOT com)
+ * Min Cha (minslovey AT gmail DOT com)
== Sponsors ==
=== Nominated Mentors ===

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