Apache Spark LARGE SCALE SPARSE MATRIX MULTIPLICATION

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Hello dear Freelancers,

I am trying to implement a LARGE SCALE SPARSE MATRIX MULTIPLICATION in Apache Spark. Your implementation should agree with the below qualifications:

1)Sparse matrix storage

2)Matrix multiplication utilizing sparsity

3)Matrix multiplication outputting into sparse storage

My goal is to be able to multiply huge Matrices ( bigger than 2Million x 2Million and with sparsity ~=[url removed, login to view] ). All matrices will be SQUARE. Your code should be SCALABLE and DISTRIBUTED as well in order to gain advantage of the SPARK environment's advantages. For more details contact me.

Навички: Великі дані, Hadoop, Java, Scala, Spark

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ID проекту: #11781898