Matrix multiplication plays an important role in a number of applications. Two matrices can only be multiplied if the number of columns of the first matrix is equal to the number of rows in the second.
Let’s assume we have an m × n matrix A and we want to multiply it by an n × p matrix B. We can express their product as an m × p matrix denoted by AB (or A·B). If we assign C = AB, and ci,j denotes the entry in C at position (i, j), then for each
element i and j with 1≤ i ≤ m and 1≤ j ≤ p ci, j = k,j Now we want to see if we can parallelize the computation of C. Assume that matrices are laid out in memory sequentially as follows: a1,1, a2,1, a3,1, a4,1, …, etc.
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