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The following page has been changed by udanax: http://wiki.apache.org/lucene-hadoop/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 sub-shell 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 high-performance linear algebra routines for distributed-memory message-passing 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 rn-Ove 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 high-performance linear algebra routines for distributed-memory message-passing 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 rn-Ove Heimsund +
