Question: Write a routine implementing parallel matrix vector product: y = matvec ( comm , A , x ) . where: 1 ) the global matrix

Write a routine implementing parallel matrixvector product: y = matvec(comm,A,x). where: 1) the global matrix is dense and square. 2) matrix rows and vector entries have matching block distribution. 3) all processes own the same number of matrix rows. Tip: use Comm.Allgather() and numpy.dot()

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