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.