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From José Manuel Abuín Mosquera <>
Subject Implementing linear albegra operations in the distributed linalg package
Date Fri, 03 Jun 2016 11:02:12 GMT

I would like to add some linear algebra operations to all the 
DistributedMatrix classes that Spark actually handles (CoordinateMatrix, 
BlockMatrix, IndexedRowMatrix and RowMatrix), but first I would like do 
ask if you consider this useful. (For me, it is)

Of course, these operations will be distributed, but they will rely on 
the local implementation of mllib linalg. For example, when multiplying 
an IndexedRowMatrix by a DenseVector, the multiplication of one of the 
matrix rows by the vector will be performed by using the local 

What is your opinion about it?

Thank you

José Manuel Abuín Mosquera
Pre-doctoral researcher
Centro de Investigación en Tecnoloxías da Información (CiTIUS)
University of Santiago de Compostela
15782 Santiago de Compostela, Spain

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