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.
Hello I am Java expert and interested in this project. I have reviewed the details and confident to handle it perfectly. Please communicate to discuss further. Regards Anshu
Hi, I am Amit. I have experience IN Spark and Scala. Please share the details of the work that need to be done for sparse matrix multiplication. Looking forward to work on this. Regards, Amit Kumar