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http://wiki.apache.org/incubator/HamaProposal
The comment on the change is:
add a developer (min cha)
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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.
== Rationale ==
- Hama approach proposes the use of 2-dimensional Row and Column (Qualifier) space and multi-dimensional
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 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''
or ''iterative methods'', run in O(the number of non-zero elements in the matrix/ number of
mappers) time on Hadoop Map/Reduce.
+ Hama approach proposes the use of 3-dimensional Row and Column (Qualifier), Time space and
multi-dimensional 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 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'' or ''iterative methods'', run in O(the number
of non-zero 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 Apache-style 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 standards-based
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 full-time 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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