A different program is to compute two products: one is a vector product of two vectors each containing 100 elements; the other product is produced by multiplying all of the elements of a matrix by a single scalar constant. The matrix has 1000 rows and 1000 columns. The vector product must be computed first and each of its elements is the product of the corresponding elements in the two vectors. That is, P[i] = A[i]*B[i] where P is the product vector and A and B are the two vectors that are multiplied. Multiplying one vector element by another takes 1 cycle as does multiplying the scalar by a single matrix element. The program is run first on a single processor. What speedup is provided for the same program if 499 additional identical processors are included so that the system has a total of 500 processors and there are no memory conflicts or other dependencies?