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The following page has been changed by udanax:
http://wiki.apache.org/lucenehadoop/Hbase/Matrix

Using Hbase's Row,Column(Qualifier) two dimensional space, we are able to store large sparse matrix.
[[BR]]Also using iterative algorithms like conjugate gradient method on a parallel processing platform like MapReduce,
 we should be able to implement '''High Performance''' and '''World's Largest''' Matrix Computations.
+ [[BR]]we should be able to implement '''High Performance''' and '''World's Largest''' Matrix Computations.
The HbaseLINA will be added as subshell in [:Hbase/HbaseShell:Hbase Shell].
@@ 26, +26 @@
* [:udanax:Edward Yoon] (R&D center, NHN corp.)
* I have profited by '''Prof. Samuel Kim''', '''Dr. Yongchan Park'''

 === References ===

 * [http://bebop.cs.berkeley.edu/oski/ OSKI], optimized sparse kernel interface (OSKI) library
 * Parallel Conjugate Gradients Assignment, a parallel implementation of the conjugate gradient algorithm
 * ScaLAPACK, a library of highperformance linear algebra routines for distributedmemory messagepassing MIMD computers
 * Scheduling algorithms for parallel Gaussian elimination withcommunication costs, Amoura, A.K.; Bampis, E.; Konig, J.C.
 * High performance numerical libraries in Java, Bj rnOve Heimsund
== Storing and manipulating numeric, sparse matrices on Hbase ==
@@ 71, +63 @@
Hbase >
}}}
+ == References ==
+
+ * [http://bebop.cs.berkeley.edu/oski/ OSKI], optimized sparse kernel interface (OSKI) library
+ * Parallel Conjugate Gradients Assignment, a parallel implementation of the conjugate gradient algorithm
+ * ScaLAPACK, a library of highperformance linear algebra routines for distributedmemory messagepassing MIMD computers
+ * Scheduling algorithms for parallel Gaussian elimination withcommunication costs, Amoura, A.K.; Bampis, E.; Konig, J.C.
+ * High performance numerical libraries in Java, Bj rnOve Heimsund
+